Editorial: Artificial intelligence and machine learning in Earth science Article Swipe
Sid‐Ali Ouadfeul
,
Shridhar D. Jawak
,
Ataollah Shirzadi
,
Mohammed Oludare Idrees
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/feart.2022.1090016
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/feart.2022.1090016
EDITORIAL article Front. Earth Sci., 04 January 2023Sec. Environmental Informatics and Remote Sensing Volume 10 - 2022 | https://doi.org/10.3389/feart.2022.1090016
Related Topics
Concepts
Metadata
- Type
- editorial
- Language
- en
- Landing Page
- https://doi.org/10.3389/feart.2022.1090016
- https://www.frontiersin.org/articles/10.3389/feart.2022.1090016/pdf
- OA Status
- gold
- Cited By
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313585250
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4313585250Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/feart.2022.1090016Digital Object Identifier
- Title
-
Editorial: Artificial intelligence and machine learning in Earth scienceWork title
- Type
-
editorialOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-04Full publication date if available
- Authors
-
Sid‐Ali Ouadfeul, Shridhar D. Jawak, Ataollah Shirzadi, Mohammed Oludare IdreesList of authors in order
- Landing page
-
https://doi.org/10.3389/feart.2022.1090016Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/feart.2022.1090016/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/feart.2022.1090016/pdfDirect OA link when available
- Concepts
-
Informatics, Earth (classical element), Volume (thermodynamics), Computer science, Astrobiology, Data science, Remote sensing, Geology, Engineering, Physics, Electrical engineering, Astronomy, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4313585250 |
|---|---|
| doi | https://doi.org/10.3389/feart.2022.1090016 |
| ids.doi | https://doi.org/10.3389/feart.2022.1090016 |
| ids.openalex | https://openalex.org/W4313585250 |
| fwci | 1.27721444 |
| type | editorial |
| title | Editorial: Artificial intelligence and machine learning in Earth science |
| biblio.issue | |
| biblio.volume | 10 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12157 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9819999933242798 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Geochemistry and Geologic Mapping |
| topics[1].id | https://openalex.org/T13018 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9156000018119812 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Seismology and Earthquake Studies |
| is_xpac | False |
| apc_list.value | 2950 |
| apc_list.currency | USD |
| apc_list.value_usd | 2950 |
| apc_paid.value | 2950 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2950 |
| concepts[0].id | https://openalex.org/C191630685 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5068324208259583 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q4027615 |
| concepts[0].display_name | Informatics |
| concepts[1].id | https://openalex.org/C26148502 |
| concepts[1].level | 2 |
| concepts[1].score | 0.48492151498794556 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2488752 |
| concepts[1].display_name | Earth (classical element) |
| concepts[2].id | https://openalex.org/C20556612 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4161646366119385 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q4469374 |
| concepts[2].display_name | Volume (thermodynamics) |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.37882304191589355 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C87355193 |
| concepts[4].level | 1 |
| concepts[4].score | 0.35166412591934204 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q411 |
| concepts[4].display_name | Astrobiology |
| concepts[5].id | https://openalex.org/C2522767166 |
| concepts[5].level | 1 |
| concepts[5].score | 0.34457266330718994 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[5].display_name | Data science |
| concepts[6].id | https://openalex.org/C62649853 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3361539840698242 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[6].display_name | Remote sensing |
| concepts[7].id | https://openalex.org/C127313418 |
| concepts[7].level | 0 |
| concepts[7].score | 0.25849008560180664 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[7].display_name | Geology |
| concepts[8].id | https://openalex.org/C127413603 |
| concepts[8].level | 0 |
| concepts[8].score | 0.23460766673088074 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[8].display_name | Engineering |
| concepts[9].id | https://openalex.org/C121332964 |
| concepts[9].level | 0 |
| concepts[9].score | 0.10114932060241699 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[9].display_name | Physics |
| concepts[10].id | https://openalex.org/C119599485 |
| concepts[10].level | 1 |
| concepts[10].score | 0.08529365062713623 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[10].display_name | Electrical engineering |
| concepts[11].id | https://openalex.org/C1276947 |
| concepts[11].level | 1 |
| concepts[11].score | 0.07849371433258057 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q333 |
| concepts[11].display_name | Astronomy |
| concepts[12].id | https://openalex.org/C62520636 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[12].display_name | Quantum mechanics |
| keywords[0].id | https://openalex.org/keywords/informatics |
| keywords[0].score | 0.5068324208259583 |
| keywords[0].display_name | Informatics |
| keywords[1].id | https://openalex.org/keywords/earth |
| keywords[1].score | 0.48492151498794556 |
| keywords[1].display_name | Earth (classical element) |
| keywords[2].id | https://openalex.org/keywords/volume |
| keywords[2].score | 0.4161646366119385 |
| keywords[2].display_name | Volume (thermodynamics) |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.37882304191589355 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/astrobiology |
| keywords[4].score | 0.35166412591934204 |
| keywords[4].display_name | Astrobiology |
| keywords[5].id | https://openalex.org/keywords/data-science |
| keywords[5].score | 0.34457266330718994 |
| keywords[5].display_name | Data science |
| keywords[6].id | https://openalex.org/keywords/remote-sensing |
| keywords[6].score | 0.3361539840698242 |
| keywords[6].display_name | Remote sensing |
| keywords[7].id | https://openalex.org/keywords/geology |
| keywords[7].score | 0.25849008560180664 |
| keywords[7].display_name | Geology |
| keywords[8].id | https://openalex.org/keywords/engineering |
| keywords[8].score | 0.23460766673088074 |
| keywords[8].display_name | Engineering |
| keywords[9].id | https://openalex.org/keywords/physics |
| keywords[9].score | 0.10114932060241699 |
| keywords[9].display_name | Physics |
| keywords[10].id | https://openalex.org/keywords/electrical-engineering |
| keywords[10].score | 0.08529365062713623 |
| keywords[10].display_name | Electrical engineering |
| keywords[11].id | https://openalex.org/keywords/astronomy |
| keywords[11].score | 0.07849371433258057 |
| keywords[11].display_name | Astronomy |
| language | en |
| locations[0].id | doi:10.3389/feart.2022.1090016 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2595152256 |
| locations[0].source.issn | 2296-6463 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2296-6463 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Earth Science |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.frontiersin.org/articles/10.3389/feart.2022.1090016/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Earth Science |
| locations[0].landing_page_url | https://doi.org/10.3389/feart.2022.1090016 |
| locations[1].id | pmh:oai:doaj.org/article:4154e8b2b86449f891c63d4f8889c580 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Frontiers in Earth Science, Vol 10 (2023) |
| locations[1].landing_page_url | https://doaj.org/article/4154e8b2b86449f891c63d4f8889c580 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5002453570 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9501-6819 |
| authorships[0].author.display_name | Sid‐Ali Ouadfeul |
| authorships[0].countries | DZ |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I121407953 |
| authorships[0].affiliations[0].raw_affiliation_string | Sonatrach, Algiers, Algeria |
| authorships[0].institutions[0].id | https://openalex.org/I121407953 |
| authorships[0].institutions[0].ror | https://ror.org/05hen7093 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I121407953 |
| authorships[0].institutions[0].country_code | DZ |
| authorships[0].institutions[0].display_name | Sonatrach (Algeria) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Sid-Ali Ouadfeul |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Sonatrach, Algiers, Algeria |
| authorships[1].author.id | https://openalex.org/A5046832482 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0648-3109 |
| authorships[1].author.display_name | Shridhar D. Jawak |
| authorships[1].affiliations[0].raw_affiliation_string | Svalbard Integrated Arctic Earth Observing System (SIOS), SIOS Knowledge Centre (SIOS-KC), Svalbard, Norway |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Shridhar D. Jawak |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Svalbard Integrated Arctic Earth Observing System (SIOS), SIOS Knowledge Centre (SIOS-KC), Svalbard, Norway |
| authorships[2].author.id | https://openalex.org/A5035752085 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1666-1180 |
| authorships[2].author.display_name | Ataollah Shirzadi |
| authorships[2].countries | IR |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I3124704065 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Kurdistan, Sanandaj, Iran |
| authorships[2].institutions[0].id | https://openalex.org/I3124704065 |
| authorships[2].institutions[0].ror | https://ror.org/04k89yk85 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I3124704065 |
| authorships[2].institutions[0].country_code | IR |
| authorships[2].institutions[0].display_name | University of Kurdistan |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Ataollah Shirzadi |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Kurdistan, Sanandaj, Iran |
| authorships[3].author.id | https://openalex.org/A5016528918 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0387-9888 |
| authorships[3].author.display_name | Mohammed Oludare Idrees |
| authorships[3].countries | NG |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I134542131 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Ilorin, Ilorin, Nigeria |
| authorships[3].institutions[0].id | https://openalex.org/I134542131 |
| authorships[3].institutions[0].ror | https://ror.org/032kdwk38 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I134542131 |
| authorships[3].institutions[0].country_code | NG |
| authorships[3].institutions[0].display_name | University of Ilorin |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Mohammed Oludare Idrees |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University of Ilorin, Ilorin, Nigeria |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.frontiersin.org/articles/10.3389/feart.2022.1090016/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Editorial: Artificial intelligence and machine learning in Earth science |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12157 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9819999933242798 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Geochemistry and Geologic Mapping |
| related_works | https://openalex.org/W2478024444, https://openalex.org/W3142718750, https://openalex.org/W2952265190, https://openalex.org/W4236475049, https://openalex.org/W1637585205, https://openalex.org/W3027684452, https://openalex.org/W3087128175, https://openalex.org/W3156371387, https://openalex.org/W2327420602, https://openalex.org/W1527673896 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.3389/feart.2022.1090016 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2595152256 |
| best_oa_location.source.issn | 2296-6463 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2296-6463 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Earth Science |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.frontiersin.org/articles/10.3389/feart.2022.1090016/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Earth Science |
| best_oa_location.landing_page_url | https://doi.org/10.3389/feart.2022.1090016 |
| primary_location.id | doi:10.3389/feart.2022.1090016 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2595152256 |
| primary_location.source.issn | 2296-6463 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2296-6463 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Earth Science |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.frontiersin.org/articles/10.3389/feart.2022.1090016/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Earth Science |
| primary_location.landing_page_url | https://doi.org/10.3389/feart.2022.1090016 |
| publication_date | 2023-01-04 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.- | 15 |
| abstract_inverted_index.| | 17 |
| abstract_inverted_index.04 | 5 |
| abstract_inverted_index.10 | 14 |
| abstract_inverted_index.and | 10 |
| abstract_inverted_index.2022 | 16 |
| abstract_inverted_index.Earth | 3 |
| abstract_inverted_index.Sci., | 4 |
| abstract_inverted_index.Front. | 2 |
| abstract_inverted_index.Remote | 11 |
| abstract_inverted_index.Volume | 13 |
| abstract_inverted_index.January | 6 |
| abstract_inverted_index.Sensing | 12 |
| abstract_inverted_index.article | 1 |
| abstract_inverted_index.2023Sec. | 7 |
| abstract_inverted_index.EDITORIAL | 0 |
| abstract_inverted_index.Informatics | 9 |
| abstract_inverted_index.Environmental | 8 |
| abstract_inverted_index.https://doi.org/10.3389/feart.2022.1090016 | 18 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5002453570 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I121407953 |
| citation_normalized_percentile.value | 0.79693721 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |