James Geller

136 papers and 1.3k indexed citations i.

About

James Geller is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, James Geller has authored 136 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 92 papers in Molecular Biology and 16 papers in Information Systems. Recurrent topics in James Geller’s work include Semantic Web and Ontologies (98 papers), Biomedical Text Mining and Ontologies (91 papers) and Natural Language Processing Techniques (27 papers). James Geller is often cited by papers focused on Semantic Web and Ontologies (98 papers), Biomedical Text Mining and Ontologies (91 papers) and Natural Language Processing Techniques (27 papers). James Geller collaborates with scholars based in United States, Taiwan and Germany. James Geller's co-authors include Yehoshua Perl, Michael Halper, Christopher Ochs, Huanying Gu, Gai Elhanan, Soon Ae Chun, Zhe He, Xiang Ji, Zhi Wei and Yan Chen and has published in prestigious journals such as Annals of the New York Academy of Sciences, BMC Bioinformatics and Computers & Education.

In The Last Decade

Co-authorship network of co-authors of James Geller i

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.

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).

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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