James G. Mork

40 papers and 904 indexed citations i.

About

James G. Mork is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, James G. Mork has authored 40 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 30 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in James G. Mork’s work include Biomedical Text Mining and Ontologies (36 papers), Topic Modeling (21 papers) and Semantic Web and Ontologies (16 papers). James G. Mork is often cited by papers focused on Biomedical Text Mining and Ontologies (36 papers), Topic Modeling (21 papers) and Semantic Web and Ontologies (16 papers). James G. Mork collaborates with scholars based in United States, Australia and Spain. James G. Mork's co-authors include Alan R. Aronson, Susanne M. Humphrey, Dina Demner‐Fushman, Marc Weeber, Willie J. Rogers, Antonio Jimeno Yepes, W. John Wilbur, Sonya E. Shooshan, Joyce A. Mitchell and Aurélie Névéol and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of James G. Mork i

Fields of papers citing papers by James G. Mork

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Mork. 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 G. Mork. The network helps show where James G. Mork may publish in the future.

Countries citing papers authored by James G. Mork

Since Specialization
Citations

This map shows the geographic impact of James G. Mork'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 G. Mork with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James G. Mork 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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