Sholom M. Weiss

46 papers and 2.6k indexed citations i.

About

Sholom M. Weiss is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Sholom M. Weiss has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 16 papers in Information Systems and 10 papers in Molecular Biology. Recurrent topics in Sholom M. Weiss’s work include Data Mining Algorithms and Applications (13 papers), Machine Learning and Data Classification (9 papers) and Rough Sets and Fuzzy Logic (8 papers). Sholom M. Weiss is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Machine Learning and Data Classification (9 papers) and Rough Sets and Fuzzy Logic (8 papers). Sholom M. Weiss collaborates with scholars based in United States, Australia and The Netherlands. Sholom M. Weiss's co-authors include Casimir A. Kulikowski, Chidanand Apté, Fred J. Damerau, Ioannis Kapouleas, Nitin Indurkhya, Aran Safir, Saul Amarel, Tong Zhang, Robert S. Galen and Allen Ginsberg and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Journal of Hypertension.

In The Last Decade

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

Fields of papers citing papers by Sholom M. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sholom M. Weiss

Since Specialization
Citations

This map shows the geographic impact of Sholom 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 Sholom 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 Sholom 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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