Determinants of work location choice in academia Article Swipe
Alessandra Migliore
,
Chiara Tagliaro
,
Ying Hua
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.7771/3067-4883.1924
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.7771/3067-4883.1924
The COVID-19 pandemic has forced most workers to work from home (WFH). At first glance, this seems not to be a significant change for academics, who, even in regular times, are used to performing their research activities autonomously and balancing on-campus and off-campus locations. Instead, precisely because of their flexible habits, it is interesting to study where academics worked during the COVID-19 pandemic and which factors relate to their location choices. This paper addresses these issues using survey data from 7,865 Italian-tenured academics. First, cluster analysis unveils four main location choices of Italian academics during the COVID-19 pandemic depending on the frequency of access to home, university, or other spaces, namely Home-centric, University-centric, Between home and university, and Multi-located. Second, multinomial probit models reveal a nuanced picture of the factors associated with belonging to each cluster. Decisions over location choice depend mainly on work-related factors (i.e., discipline), then on space-related factors (i.e., satisfaction towards campus workspace characteristics and the need for a laboratory), finally, on, life-related factors (i.e., living with school children or a partner) and other factors (i.e., commuting times and gender). However, each of the four location patterns depends on different determinants. The results offer university and practice-wide implications anticipating future changes in how work in academia is spatially organized.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7771/3067-4883.1924
- https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1924&context=cib-conferences
- OA Status
- bronze
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411472983
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411472983Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.7771/3067-4883.1924Digital Object Identifier
- Title
-
Determinants of work location choice in academiaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-19Full publication date if available
- Authors
-
Alessandra Migliore, Chiara Tagliaro, Ying HuaList of authors in order
- Landing page
-
https://doi.org/10.7771/3067-4883.1924Publisher landing page
- PDF URL
-
https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1924&context=cib-conferencesDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1924&context=cib-conferencesDirect OA link when available
- Concepts
-
Work (physics), Engineering ethics, Data science, Political science, Sociology, Engineering, Computer science, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411472983 |
|---|---|
| doi | https://doi.org/10.7771/3067-4883.1924 |
| ids.doi | https://doi.org/10.7771/3067-4883.1924 |
| ids.openalex | https://openalex.org/W4411472983 |
| fwci | 0.0 |
| type | article |
| title | Determinants of work location choice in academia |
| biblio.issue | 1 |
| biblio.volume | 1 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11599 |
| topics[0].field.id | https://openalex.org/fields/20 |
| topics[0].field.display_name | Economics, Econometrics and Finance |
| topics[0].score | 0.5135999917984009 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2000 |
| topics[0].subfield.display_name | General Economics, Econometrics and Finance |
| topics[0].display_name | Aviation Industry Analysis and Trends |
| topics[1].id | https://openalex.org/T11631 |
| topics[1].field.id | https://openalex.org/fields/33 |
| topics[1].field.display_name | Social Sciences |
| topics[1].score | 0.4973999857902527 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3317 |
| topics[1].subfield.display_name | Demography |
| topics[1].display_name | Retirement, Disability, and Employment |
| topics[2].id | https://openalex.org/T10722 |
| topics[2].field.id | https://openalex.org/fields/33 |
| topics[2].field.display_name | Social Sciences |
| topics[2].score | 0.4729999899864197 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3312 |
| topics[2].subfield.display_name | Sociology and Political Science |
| topics[2].display_name | Work-Family Balance Challenges |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C18762648 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6955798268318176 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q42213 |
| concepts[0].display_name | Work (physics) |
| concepts[1].id | https://openalex.org/C55587333 |
| concepts[1].level | 1 |
| concepts[1].score | 0.3805431127548218 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1133029 |
| concepts[1].display_name | Engineering ethics |
| concepts[2].id | https://openalex.org/C2522767166 |
| concepts[2].level | 1 |
| concepts[2].score | 0.32501929998397827 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[2].display_name | Data science |
| concepts[3].id | https://openalex.org/C17744445 |
| concepts[3].level | 0 |
| concepts[3].score | 0.3242943584918976 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[3].display_name | Political science |
| concepts[4].id | https://openalex.org/C144024400 |
| concepts[4].level | 0 |
| concepts[4].score | 0.3212066888809204 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[4].display_name | Sociology |
| concepts[5].id | https://openalex.org/C127413603 |
| concepts[5].level | 0 |
| concepts[5].score | 0.2942008972167969 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[5].display_name | Engineering |
| concepts[6].id | https://openalex.org/C41008148 |
| concepts[6].level | 0 |
| concepts[6].score | 0.28558674454689026 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[6].display_name | Computer science |
| concepts[7].id | https://openalex.org/C78519656 |
| concepts[7].level | 1 |
| concepts[7].score | 0.10709556937217712 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q101333 |
| concepts[7].display_name | Mechanical engineering |
| keywords[0].id | https://openalex.org/keywords/work |
| keywords[0].score | 0.6955798268318176 |
| keywords[0].display_name | Work (physics) |
| keywords[1].id | https://openalex.org/keywords/engineering-ethics |
| keywords[1].score | 0.3805431127548218 |
| keywords[1].display_name | Engineering ethics |
| keywords[2].id | https://openalex.org/keywords/data-science |
| keywords[2].score | 0.32501929998397827 |
| keywords[2].display_name | Data science |
| keywords[3].id | https://openalex.org/keywords/political-science |
| keywords[3].score | 0.3242943584918976 |
| keywords[3].display_name | Political science |
| keywords[4].id | https://openalex.org/keywords/sociology |
| keywords[4].score | 0.3212066888809204 |
| keywords[4].display_name | Sociology |
| keywords[5].id | https://openalex.org/keywords/engineering |
| keywords[5].score | 0.2942008972167969 |
| keywords[5].display_name | Engineering |
| keywords[6].id | https://openalex.org/keywords/computer-science |
| keywords[6].score | 0.28558674454689026 |
| keywords[6].display_name | Computer science |
| keywords[7].id | https://openalex.org/keywords/mechanical-engineering |
| keywords[7].score | 0.10709556937217712 |
| keywords[7].display_name | Mechanical engineering |
| language | en |
| locations[0].id | doi:10.7771/3067-4883.1924 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S5407048894 |
| locations[0].source.issn | 3067-4883 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 3067-4883 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | CIB Conferences |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].source.host_organization_lineage | |
| locations[0].license | |
| locations[0].pdf_url | https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1924&context=cib-conferences |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | CIB Conferences |
| locations[0].landing_page_url | https://doi.org/10.7771/3067-4883.1924 |
| locations[1].id | pmh:oai:docs.lib.purdue.edu:cib-conferences-1924 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401098 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Purdue e-Pubs (Purdue University) |
| locations[1].source.host_organization | https://openalex.org/I219193219 |
| locations[1].source.host_organization_name | Purdue University West Lafayette |
| locations[1].source.host_organization_lineage | https://openalex.org/I219193219 |
| locations[1].license | |
| locations[1].pdf_url | https://docs.lib.purdue.edu/context/cib-conferences/article/1924/viewcontent/1924_acc.pdf |
| locations[1].version | submittedVersion |
| locations[1].raw_type | text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | CIB Conferences |
| locations[1].landing_page_url | https://docs.lib.purdue.edu/cib-conferences/vol1/iss1/169 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5022217193 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-7944-1671 |
| authorships[0].author.display_name | Alessandra Migliore |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Alessandra Migliore |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5011674176 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-3023-5340 |
| authorships[1].author.display_name | Chiara Tagliaro |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Chiara Tagliaro |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5009662163 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Ying Hua |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Ying Hua |
| authorships[2].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1924&context=cib-conferences |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Determinants of work location choice in academia |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11599 |
| primary_topic.field.id | https://openalex.org/fields/20 |
| primary_topic.field.display_name | Economics, Econometrics and Finance |
| primary_topic.score | 0.5135999917984009 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2000 |
| primary_topic.subfield.display_name | General Economics, Econometrics and Finance |
| primary_topic.display_name | Aviation Industry Analysis and Trends |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W138768472, https://openalex.org/W2806948274, https://openalex.org/W4401278346, https://openalex.org/W2367714496, https://openalex.org/W2538131842, https://openalex.org/W2351190957, https://openalex.org/W1597034473 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.7771/3067-4883.1924 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S5407048894 |
| best_oa_location.source.issn | 3067-4883 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 3067-4883 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | CIB Conferences |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.source.host_organization_lineage | |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1924&context=cib-conferences |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | CIB Conferences |
| best_oa_location.landing_page_url | https://doi.org/10.7771/3067-4883.1924 |
| primary_location.id | doi:10.7771/3067-4883.1924 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S5407048894 |
| primary_location.source.issn | 3067-4883 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 3067-4883 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | CIB Conferences |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.source.host_organization_lineage | |
| primary_location.license | |
| primary_location.pdf_url | https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1924&context=cib-conferences |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | CIB Conferences |
| primary_location.landing_page_url | https://doi.org/10.7771/3067-4883.1924 |
| publication_date | 2025-06-19 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2156430033, https://openalex.org/W2099816521, https://openalex.org/W4230437220, https://openalex.org/W3006584214, https://openalex.org/W2961183208, https://openalex.org/W2117891525, https://openalex.org/W2004841513, https://openalex.org/W2068935599, https://openalex.org/W2193376787, https://openalex.org/W2558682788, https://openalex.org/W1967898923, https://openalex.org/W2038910601, https://openalex.org/W1845188378, https://openalex.org/W3080602735, https://openalex.org/W2092012538, https://openalex.org/W4287444799, https://openalex.org/W2096523843, https://openalex.org/W2811322582, https://openalex.org/W2083880787, https://openalex.org/W2231195309, https://openalex.org/W1918085941, https://openalex.org/W1529812358, https://openalex.org/W4386257214, https://openalex.org/W1570104233, https://openalex.org/W2009141074, https://openalex.org/W2120361836, https://openalex.org/W1549147436, https://openalex.org/W3035453738, https://openalex.org/W2109985410, https://openalex.org/W2150238850, https://openalex.org/W2030953726, https://openalex.org/W2606900880, https://openalex.org/W2239133202 |
| referenced_works_count | 33 |
| abstract_inverted_index.a | 20, 124, 161, 173 |
| abstract_inverted_index.At | 12 |
| abstract_inverted_index.be | 19 |
| abstract_inverted_index.in | 27, 204, 207 |
| abstract_inverted_index.is | 52, 209 |
| abstract_inverted_index.it | 51 |
| abstract_inverted_index.of | 47, 91, 102, 127, 185 |
| abstract_inverted_index.on | 99, 142, 148, 191 |
| abstract_inverted_index.or | 107, 172 |
| abstract_inverted_index.to | 7, 18, 32, 54, 67, 104, 133 |
| abstract_inverted_index.The | 0, 194 |
| abstract_inverted_index.and | 38, 41, 63, 115, 117, 157, 175, 181, 198 |
| abstract_inverted_index.are | 30 |
| abstract_inverted_index.for | 23, 160 |
| abstract_inverted_index.has | 3 |
| abstract_inverted_index.how | 205 |
| abstract_inverted_index.not | 17 |
| abstract_inverted_index.on, | 164 |
| abstract_inverted_index.the | 60, 95, 100, 128, 158, 186 |
| abstract_inverted_index.This | 71 |
| abstract_inverted_index.data | 78 |
| abstract_inverted_index.each | 134, 184 |
| abstract_inverted_index.even | 26 |
| abstract_inverted_index.four | 87, 187 |
| abstract_inverted_index.from | 9, 79 |
| abstract_inverted_index.home | 10, 114 |
| abstract_inverted_index.main | 88 |
| abstract_inverted_index.most | 5 |
| abstract_inverted_index.need | 159 |
| abstract_inverted_index.over | 137 |
| abstract_inverted_index.then | 147 |
| abstract_inverted_index.this | 15 |
| abstract_inverted_index.used | 31 |
| abstract_inverted_index.who, | 25 |
| abstract_inverted_index.with | 131, 169 |
| abstract_inverted_index.work | 8, 206 |
| abstract_inverted_index.7,865 | 80 |
| abstract_inverted_index.first | 13 |
| abstract_inverted_index.home, | 105 |
| abstract_inverted_index.offer | 196 |
| abstract_inverted_index.other | 108, 176 |
| abstract_inverted_index.paper | 72 |
| abstract_inverted_index.seems | 16 |
| abstract_inverted_index.study | 55 |
| abstract_inverted_index.their | 34, 48, 68 |
| abstract_inverted_index.these | 74 |
| abstract_inverted_index.times | 180 |
| abstract_inverted_index.using | 76 |
| abstract_inverted_index.where | 56 |
| abstract_inverted_index.which | 64 |
| abstract_inverted_index.(WFH). | 11 |
| abstract_inverted_index.(i.e., | 145, 151, 167, 178 |
| abstract_inverted_index.First, | 83 |
| abstract_inverted_index.access | 103 |
| abstract_inverted_index.campus | 154 |
| abstract_inverted_index.change | 22 |
| abstract_inverted_index.choice | 139 |
| abstract_inverted_index.depend | 140 |
| abstract_inverted_index.during | 59, 94 |
| abstract_inverted_index.forced | 4 |
| abstract_inverted_index.future | 202 |
| abstract_inverted_index.issues | 75 |
| abstract_inverted_index.living | 168 |
| abstract_inverted_index.mainly | 141 |
| abstract_inverted_index.models | 122 |
| abstract_inverted_index.namely | 110 |
| abstract_inverted_index.probit | 121 |
| abstract_inverted_index.relate | 66 |
| abstract_inverted_index.reveal | 123 |
| abstract_inverted_index.school | 170 |
| abstract_inverted_index.survey | 77 |
| abstract_inverted_index.times, | 29 |
| abstract_inverted_index.worked | 58 |
| abstract_inverted_index.Between | 113 |
| abstract_inverted_index.Italian | 92 |
| abstract_inverted_index.Second, | 119 |
| abstract_inverted_index.because | 46 |
| abstract_inverted_index.changes | 203 |
| abstract_inverted_index.choices | 90 |
| abstract_inverted_index.cluster | 84 |
| abstract_inverted_index.depends | 190 |
| abstract_inverted_index.factors | 65, 129, 144, 150, 166, 177 |
| abstract_inverted_index.glance, | 14 |
| abstract_inverted_index.habits, | 50 |
| abstract_inverted_index.nuanced | 125 |
| abstract_inverted_index.picture | 126 |
| abstract_inverted_index.regular | 28 |
| abstract_inverted_index.results | 195 |
| abstract_inverted_index.spaces, | 109 |
| abstract_inverted_index.towards | 153 |
| abstract_inverted_index.unveils | 86 |
| abstract_inverted_index.workers | 6 |
| abstract_inverted_index.COVID-19 | 1, 61, 96 |
| abstract_inverted_index.However, | 183 |
| abstract_inverted_index.Instead, | 44 |
| abstract_inverted_index.academia | 208 |
| abstract_inverted_index.analysis | 85 |
| abstract_inverted_index.children | 171 |
| abstract_inverted_index.choices. | 70 |
| abstract_inverted_index.cluster. | 135 |
| abstract_inverted_index.finally, | 163 |
| abstract_inverted_index.flexible | 49 |
| abstract_inverted_index.gender). | 182 |
| abstract_inverted_index.location | 69, 89, 138, 188 |
| abstract_inverted_index.pandemic | 2, 62, 97 |
| abstract_inverted_index.partner) | 174 |
| abstract_inverted_index.patterns | 189 |
| abstract_inverted_index.research | 35 |
| abstract_inverted_index.Decisions | 136 |
| abstract_inverted_index.academics | 57, 93 |
| abstract_inverted_index.addresses | 73 |
| abstract_inverted_index.balancing | 39 |
| abstract_inverted_index.belonging | 132 |
| abstract_inverted_index.commuting | 179 |
| abstract_inverted_index.depending | 98 |
| abstract_inverted_index.different | 192 |
| abstract_inverted_index.frequency | 101 |
| abstract_inverted_index.on-campus | 40 |
| abstract_inverted_index.precisely | 45 |
| abstract_inverted_index.spatially | 210 |
| abstract_inverted_index.workspace | 155 |
| abstract_inverted_index.academics, | 24 |
| abstract_inverted_index.academics. | 82 |
| abstract_inverted_index.activities | 36 |
| abstract_inverted_index.associated | 130 |
| abstract_inverted_index.locations. | 43 |
| abstract_inverted_index.off-campus | 42 |
| abstract_inverted_index.organized. | 211 |
| abstract_inverted_index.performing | 33 |
| abstract_inverted_index.university | 197 |
| abstract_inverted_index.interesting | 53 |
| abstract_inverted_index.multinomial | 120 |
| abstract_inverted_index.significant | 21 |
| abstract_inverted_index.university, | 106, 116 |
| abstract_inverted_index.anticipating | 201 |
| abstract_inverted_index.autonomously | 37 |
| abstract_inverted_index.discipline), | 146 |
| abstract_inverted_index.implications | 200 |
| abstract_inverted_index.laboratory), | 162 |
| abstract_inverted_index.life-related | 165 |
| abstract_inverted_index.satisfaction | 152 |
| abstract_inverted_index.work-related | 143 |
| abstract_inverted_index.Home-centric, | 111 |
| abstract_inverted_index.determinants. | 193 |
| abstract_inverted_index.practice-wide | 199 |
| abstract_inverted_index.space-related | 149 |
| abstract_inverted_index.Multi-located. | 118 |
| abstract_inverted_index.Italian-tenured | 81 |
| abstract_inverted_index.characteristics | 156 |
| abstract_inverted_index.University-centric, | 112 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.4000000059604645 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.35014176 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |