Gary M. Weiss

About

Gary M. Weiss is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gary M. Weiss has authored 44 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gary M. Weiss’s work include Context-Aware Activity Recognition Systems (11 papers), Data Mining Algorithms and Applications (8 papers) and Imbalanced Data Classification Techniques (7 papers). Gary M. Weiss is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Data Mining Algorithms and Applications (8 papers) and Imbalanced Data Classification Techniques (7 papers). Gary M. Weiss collaborates with scholars based in United States, China and Brazil. Gary M. Weiss's co-authors include Samuel Moore, Foster Provost, Jeffrey W. Lockhart, Thaier Hayajneh, Haym Hirsh, Paul Mathew, Evan Mills, Ye Tian, Alessandro Baccarini and Aydin Farajidavar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy Policy.

In The Last Decade

Co-authorship network of co-authors of Gary M. Weiss i

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Fields of papers citing papers by Gary M. Weiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary M. Weiss. 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 Gary M. Weiss. The network helps show where Gary M. Weiss may publish in the future.

Countries citing papers authored by Gary M. Weiss

Since Specialization

Citations

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