Dan Sommerfield

6 papers and 531 indexed citations i.

About

Dan Sommerfield is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Sommerfield has authored 6 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Dan Sommerfield’s work include Data Mining Algorithms and Applications (2 papers), Machine Learning and Data Classification (1 paper) and Statistical Methods in Clinical Trials (1 paper). Dan Sommerfield is often cited by papers focused on Data Mining Algorithms and Applications (2 papers), Machine Learning and Data Classification (1 paper) and Statistical Methods in Clinical Trials (1 paper). Dan Sommerfield collaborates with scholars based in United States. Dan Sommerfield's co-authors include Ron Kohavi, Roger Longbotham, Barry Becker, Kurt Thearling and Dennis DeCoste and has published in prestigious journals such as Data Mining and Knowledge Discovery, International Journal of Artificial Intelligence Tools and Morgan Kaufmann Publishers Inc. eBooks.

In The Last Decade

Co-authorship network of co-authors of Dan Sommerfield i

Fields of papers citing papers by Dan Sommerfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Sommerfield

Since Specialization
Citations

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