Andrew Kachites McCallum

About

Andrew Kachites McCallum is a scholar working on Artificial Intelligence, Information Systems and Industrial relations. According to data from OpenAlex, Andrew Kachites McCallum has authored 3 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 0 papers in Industrial relations. Recurrent topics in Andrew Kachites McCallum’s work include Machine Learning and Algorithms (2 papers), Web Data Mining and Analysis (2 papers) and Text and Document Classification Technologies (2 papers). Andrew Kachites McCallum is often cited by papers focused on Machine Learning and Algorithms (2 papers), Web Data Mining and Analysis (2 papers) and Text and Document Classification Technologies (2 papers). Andrew Kachites McCallum collaborates with scholars based in United States. Andrew Kachites McCallum's co-authors include Kamal Nigam, Sebastian Thrun, Tom M. Mitchell, Kristie Seymore and Jason D. M. Rennie and has published in prestigious journals such as Machine Learning, Information Retrieval and Scholarworks (University of Massachusetts Amherst).

In The Last Decade

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

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Fields of papers citing papers by Andrew Kachites McCallum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrew Kachites McCallum

Since Specialization

Citations

This map shows the geographic impact of Andrew Kachites 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 Kachites 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 Kachites 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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