James Geller

3.1k total citations
195 papers, 1.9k citations indexed

About

James Geller is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, James Geller has authored 195 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Artificial Intelligence, 112 papers in Molecular Biology and 39 papers in Information Systems. Recurrent topics in James Geller's work include Semantic Web and Ontologies (128 papers), Biomedical Text Mining and Ontologies (109 papers) and Natural Language Processing Techniques (34 papers). James Geller is often cited by papers focused on Semantic Web and Ontologies (128 papers), Biomedical Text Mining and Ontologies (109 papers) and Natural Language Processing Techniques (34 papers). James Geller collaborates with scholars based in United States, Germany and Canada. James Geller's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the New York Academy of Sciences and Computers & Education.

In The Last Decade

James Geller

187 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Geller United States 23 1.5k 1.2k 295 262 171 195 1.9k
Robert Gaizauskas United Kingdom 32 3.3k 2.2× 836 0.7× 662 2.2× 81 0.3× 194 1.1× 155 3.8k
Sanda M. Harabagiu United States 34 3.8k 2.5× 592 0.5× 684 2.3× 64 0.2× 83 0.5× 152 4.1k
Yue Wang China 22 1.1k 0.7× 596 0.5× 336 1.1× 38 0.1× 152 0.9× 156 1.8k
Pierre Zweigenbaum France 24 2.0k 1.3× 1.4k 1.2× 176 0.6× 166 0.6× 18 0.1× 165 2.5k
Paloma Martı́nez Spain 22 1.2k 0.8× 990 0.8× 190 0.6× 48 0.2× 56 0.3× 140 1.9k
Anna Rumshisky United States 23 1.5k 1.0× 520 0.4× 96 0.3× 69 0.3× 31 0.2× 71 1.7k
Lucy Vanderwende United States 28 3.1k 2.0× 277 0.2× 441 1.5× 85 0.3× 55 0.3× 64 3.6k
Paul Kingsbury United States 9 2.1k 1.4× 376 0.3× 136 0.5× 116 0.4× 22 0.1× 16 2.4k
Filip Ginter Finland 27 2.9k 1.9× 1.7k 1.5× 166 0.6× 130 0.5× 18 0.1× 118 3.5k
Tania Tudorache United States 16 785 0.5× 676 0.6× 295 1.0× 34 0.1× 63 0.4× 53 1.2k

Countries citing papers authored by James Geller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of James Geller

This figure shows the co-authorship network connecting the top 25 collaborators of James Geller. A scholar is included among the top collaborators of James Geller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Geller. James Geller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chun, Soon Ae, et al.. (2024). Enhanced Multi-Class Detection of Fake News. SHILAP Revista de lepidopterología. 37. 1 indexed citations
2.
Geller, James, et al.. (2022). Public Health Policy Monitoring through Public Perceptions: A Case of COVID-19 Tweet Analysis. Information. 13(11). 543–543. 9 indexed citations
3.
Min, Hua, Yan Chen, Vipina K. Keloth, et al.. (2020). Outlier concepts auditing methodology for a large family of biomedical ontologies. BMC Medical Informatics and Decision Making. 20(S10). 296–296. 2 indexed citations
4.
Chen, Yan, Hua Min, P. Lloyd Hildebrand, et al.. (2020). Missing lateral relationships in top-level concepts of an ontology. BMC Medical Informatics and Decision Making. 20(S10). 305–305. 2 indexed citations
5.
Liu, Hao, et al.. (2018). Can a Convolutional Neural Network Support Auditing of NCI Thesaurus Neoplasm Concepts. 3 indexed citations
6.
Phan, NhatHai, et al.. (2017). Enabling Real-Time Drug Abuse Detection in Tweets. 1510–1514. 25 indexed citations
7.
He, Zhe, et al.. (2016). Topological-Pattern-Based Recommendation of UMLS Concepts for National Cancer Institute Thesaurus.. PubMed. 2016. 618–627. 17 indexed citations
8.
Chun, Soon Ae, et al.. (2016). Slob: security learning by ontology browsing: comprehensive cyber security learning resources in a web portal. Journal of computing sciences in colleges. 31(5). 95–101. 1 indexed citations
9.
He, Zhe, James Geller, & Yan Chen. (2015). A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization. Artificial Intelligence in Medicine. 64(1). 29–40. 23 indexed citations
10.
Ochs, Christopher, Yehoshua Perl, & James Geller. (2013). BLUSNO: A System for Orientation, Visualization, and Quality Assurance of SNOMED CT Using Abstraction Networks.. 128–129. 1 indexed citations
11.
Chun, Soon Ae, et al.. (2011). Flexible Payment Recommender System. 8(4). 299–316. 1 indexed citations
12.
Lee, Yugyung, Kamleshwar Singh, Soon Ae Chun, & James Geller. (2004). Towards intelligent Web services for automating medical service composition. 384–391. 11 indexed citations
13.
Lee, Wookey & James Geller. (2004). Semantic Hierarchical Abstraction of Web Site Structures for Web Searchers. 6 indexed citations
14.
Lee, Yugyung & James Geller. (2003). A Collaborative and Sharable Web-Based Learning System. International journal on e-learning. 2(2). 35–45. 2 indexed citations
15.
Lee, Yugyung, et al.. (2001). Data Mining with Distributed Agents in E-Commerce Applications. The Florida AI Research Society. 12–17. 2 indexed citations
16.
Geller, James. (1997). Challenge: how IJCAI 1999 can prove the value of AI by using AI. International Joint Conference on Artificial Intelligence. 55–58. 3 indexed citations
17.
Cimino, James J., et al.. (1996). Utilizing OODB schema modeling for vocabulary management.. Europe PMC (PubMed Central). 274–8. 19 indexed citations
18.
Geller, James. (1994). Advanced update operations in massively parallel knowledge representation. MIT Press eBooks. 74–100. 1 indexed citations
19.
Shapiro, Stuart C. & James Geller. (1987). Artificial intelligence and automated design. Wiley-Interscience eBooks. 173–187. 3 indexed citations
20.
Geller, James. (1985). The teachable letter recognizer. International Joint Conference on Artificial Intelligence. 249–251. 1 indexed citations

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.

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