Jacob Carter
Impact in
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- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
Papers in
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- Semantic Web and Ontologies 7
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Biomedical Text Mining and Ontologies 7
- Co-authors
- Sophia Ananiadou (8 shared papers)Riza Batista-Navarro (6 shared papers)David A. Barbie (1 shared paper)Rohit Thummalapalli (1 shared paper)Israel Cañadas (1 shared paper)Russell W. Jenkins (1 shared paper)Andrew Rowley (3 shared papers)John McNaught (2 shared papers)
- Journals
- Database (2 papers)Proceedings of the VLDB Endowment (1 paper)Annual Review of Medicine (1 paper)Language Resources and Evaluation (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited StatesPhilippines
In The Last Decade
Jacob Carter
9 papers receiving 109 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 41
- Toxicology 4
- Information Systems and Management 6
- Oncology 20
- Immunology 15
Countries citing papers authored by Jacob Carter
This map shows the geographic impact of Jacob Carter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jacob Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Carter more than expected).
Fields of papers citing papers by Jacob Carter
This network shows the impact of papers produced by Jacob Carter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jacob Carter. The network helps show where Jacob Carter may publish in the future.
Co-authors
The 17 scholars most cited alongside Jacob Carter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 38 | |
| 2 | 2017 | 35 | |
| 3 | 2014 | 16 | |
| 4 | 2016 | 10 | |
| 5 | Development and Analysis of NLP Pipelines in Argo | 2013 | 6 |
| 6 | 2015 | 3 | |
| 7 | 2014 | 2 | |
| 8 | Development of bespoke machine learning and biocuration workflows in a BioC-supporting text mining workbench. | 2015 | 1 |
| 9 | Semi-automatic curation of chronic obstructive pulmonary disease phenotypes using Argo. | 2015 | 1 |
| 10 | 2024 | 0 |
About Jacob Carter
Jacob Carter is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Information Systems and Management and Oncology, having authored 10 papers that have together received 112 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Scientific Computing and Data Management (1 paper), Cloud Computing and Resource Management (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Artificial Intelligence (41 citations), Toxicology (4 citations), Information Systems and Management (6 citations), Oncology (20 citations) and Immunology (15 citations). Jacob Carter has collaborated with scholars based in United Kingdom, United States and Philippines. Frequent co-authors include Sophia Ananiadou, Riza Batista-Navarro, David A. Barbie, Rohit Thummalapalli, Israel Cañadas, Russell W. Jenkins, Andrew Rowley, John McNaught, Paul M. Thompson and Rafał Rak. Their work appears in journals such as Database, Proceedings of the VLDB Endowment, Annual Review of Medicine, Language Resources and Evaluation and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.