Association for Computing Machinery

606 papers and 6.7k indexed citations i.

About

In recent decades, authors affiliated with Association for Computing Machinery have published 606 papers, which have received a total of 6.7k indexed citations. Scholars at this organization have produced 159 papers in Artificial Intelligence, 123 papers in Information Systems and 85 papers in Computer Networks and Communications on the topics of Topic Modeling (30 papers), Natural Language Processing Techniques (26 papers) and Advanced Software Engineering Methodologies (25 papers). Their work is cited by papers focused on Artificial Intelligence (1.5k citations), Information Systems (1.5k citations) and Sociology and Political Science (919 citations). Authors at Association for Computing Machinery collaborate with scholars in United States, United Kingdom and Japan and have published in prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, Management Science and Antimicrobial Agents and Chemotherapy. Some of Association for Computing Machinery's most productive authors include Jeremy Roschelle, Richard Baskerville, Allen S. Lee, Karen A. Frenkel, Merrill Warkentin, Lutfus Sayeed, Ross Hightower, Newton Lee, Daniel C. McFarlane and Cassio P. de Campos.

In The Last Decade

Fields of papers published by authors at Association for Computing Machinery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Association for Computing Machinery at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Association for Computing Machinery at the time of their publication.

Countries citing scholars working at Association for Computing Machinery

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Association for Computing Machinery. 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 papers produced at Association for Computing Machinery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Association for Computing Machinery 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.

Explore institutions with similar magnitude of impact

Rankless by CCL
2025