James Geller
Impact in
- Artificial Intelligence top 0.5%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
Papers in ⓘ
-
- Semantic Web and Ontologies 128
- Natural Language Processing Techniques 34
- Topic Modeling 18
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- linguistics and terminology studies 18
- Co-authors
- Yehoshua Perl (103 shared papers)Michael Halper (50 shared papers)Soon Ae Chun (38 shared papers)Christopher Ochs (27 shared papers)Xiang Ji (6 shared papers)Huanying Gu (19 shared papers)Zhe He (16 shared papers)Gai Elhanan (22 shared papers)
- Journals
- Journal of Biomedical Informatics (21 papers)Journal of the American Medical Informatics Association (8 papers)Artificial Intelligence in Medicine (5 papers)BMC Medical Informatics and Decision Making (4 papers)Data & Knowledge Engineering (3 papers)
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
James Geller
187 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 1.5k
- Health Information Management 134
- Language and Linguistics 262
- Molecular Biology 1.2k
- Information Systems 295
Countries citing papers authored by James Geller
This map shows the geographic impact of James Geller'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 James Geller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Geller more than expected).
Fields of papers citing papers by James Geller
This network shows the impact of papers produced by James Geller. 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 James Geller. The network helps show where James Geller may publish in the future.
Co-authors
The 25 scholars most cited alongside James Geller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 91 | |
| 2 | 2006 | 82 | |
| 3 | 2013 | 60 | |
| 4 | 2014 | 44 | |
| 5 | 2011 | 40 | |
| 6 | 2003 | 35 | |
| 7 | 2011 | 34 | |
| 8 | 1991 | 34 | |
| 9 | 2014 | 33 | |
| 10 | Auditing the UMLS for redundant classifications. | 2002 | 31 |
| 11 | 2009 | 30 | |
| 12 | 2002 | 26 | |
| 13 | 1999 | 26 | |
| 14 | 2017 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2015 | 24 | |
| 17 | 2008 | 24 | |
| 18 | 1999 | 24 | |
| 19 | Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies. | 2013 | 24 |
| 20 | 2015 | 23 |
About James Geller
James Geller is a scholar working on Artificial Intelligence, Language and Linguistics, Information Systems, Molecular Biology and Signal Processing, having authored 195 papers that have together received 1.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (128 papers), Biomedical Text Mining and Ontologies (109 papers), Natural Language Processing Techniques (34 papers), Advanced Database Systems and Queries (19 papers), Service-Oriented Architecture and Web Services (18 papers), linguistics and terminology studies (18 papers), Topic Modeling (18 papers) and Data Management and Algorithms (13 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Health Information Management (134 citations), Language and Linguistics (262 citations), Molecular Biology (1.2k citations) and Information Systems (295 citations). James Geller has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Yehoshua Perl, Michael Halper, Soon Ae Chun, Christopher Ochs, Xiang Ji, Huanying Gu, Zhe He, Gai Elhanan, Yugyung Lee and Zhi Wei. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Artificial Intelligence in Medicine, BMC Medical Informatics and Decision Making and Data & Knowledge Engineering.
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.