Charles Elkan

63 papers and 10.9k indexed citations i.

About

Charles Elkan is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Charles Elkan has authored 63 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 15 papers in Molecular Biology and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Charles Elkan’s work include Machine Learning and Data Classification (10 papers), Machine Learning and Algorithms (9 papers) and Logic, Reasoning, and Knowledge (7 papers). Charles Elkan is often cited by papers focused on Machine Learning and Data Classification (10 papers), Machine Learning and Algorithms (9 papers) and Logic, Reasoning, and Knowledge (7 papers). Charles Elkan collaborates with scholars based in United States, Canada and Spain. Charles Elkan's co-authors include Trisha L. Bailey, Zachary C. Lipton, John Berkowitz, Timothy L. Bailey, Greg Hamerly, Keith Noto, Bianca Zadrozny, Alvaro Monge, William Noble Grundy and Michael E. Baker and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

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

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Fields of papers citing papers by Charles Elkan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Charles Elkan

Since Specialization

Citations

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