Stephen Mussmann

About

Stephen Mussmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Stephen Mussmann has authored 9 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Stephen Mussmann’s work include Machine Learning and Algorithms (5 papers), Topic Modeling (4 papers) and Machine Learning and Data Classification (4 papers). Stephen Mussmann is often cited by papers focused on Machine Learning and Algorithms (5 papers), Topic Modeling (4 papers) and Machine Learning and Data Classification (4 papers). Stephen Mussmann collaborates with scholars based in United States. Stephen Mussmann's co-authors include Percy Liang, Arun Tejasvi Chaganty, Stefano Ermon, Robin Jia, Cody Coleman, John I. Moore, Jure Leskovec, Jennifer Neville, Peter Bailis and Joseph J. Pfeiffer and has published in prestigious journals such as Proceedings of the VLDB Endowment, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Stephen Mussmann i

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Fields of papers citing papers by Stephen Mussmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stephen Mussmann

Since Specialization

Citations

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