Charles Sneiderman

26 papers and 330 indexed citations i.

About

Charles Sneiderman is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Charles Sneiderman has authored 26 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Artificial Intelligence and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Charles Sneiderman’s work include Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (6 papers). Charles Sneiderman is often cited by papers focused on Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (6 papers). Charles Sneiderman collaborates with scholars based in United States and Pakistan. Charles Sneiderman's co-authors include Thomas C. Rindflesch, James R. Campbell, Judith J. Warren, Simon Cohn, Christopher G. Chute, P Carpenter, Carol A. Bean, Marcelo Fiszman, Robert H. Schosser and Dina Demner‐Fushman and has published in prestigious journals such as PLoS ONE, Journal of the American Medical Informatics Association and Journal of Occupational and Environmental Medicine.

In The Last Decade

Co-authorship network of co-authors of Charles Sneiderman i

Fields of papers citing papers by Charles Sneiderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Sneiderman. 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 Charles Sneiderman. The network helps show where Charles Sneiderman may publish in the future.

Countries citing papers authored by Charles Sneiderman

Since Specialization
Citations

This map shows the geographic impact of Charles Sneiderman'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 Charles Sneiderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Sneiderman 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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2025