Andrew McCallum

161 papers and 21.5k indexed citations i.

About

Andrew McCallum is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Andrew McCallum has authored 161 papers receiving a total of 21.5k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 18 papers in Management Science and Operations Research. Recurrent topics in Andrew McCallum’s work include Topic Modeling (119 papers), Natural Language Processing Techniques (92 papers) and Machine Learning and Algorithms (18 papers). Andrew McCallum is often cited by papers focused on Topic Modeling (119 papers), Natural Language Processing Techniques (92 papers) and Machine Learning and Algorithms (18 papers). Andrew McCallum collaborates with scholars based in United States, United Kingdom and Germany. Andrew McCallum's co-authors include Fernando C. N. Pereira, John Lafferty, Sam T. Roweis, William W. Cohen, Kamal Nigam, Emma Strubell, Ananya Ganesh, Charles Sutton, Wei Li and Nicholas Roy and has published in prestigious journals such as Chemistry of Materials, BMC Bioinformatics and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Andrew McCallum i

Fields of papers citing papers by Andrew McCallum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrew McCallum

Since Specialization
Citations

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