Ray R. Hashemi

About

Ray R. Hashemi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ray R. Hashemi has authored 21 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Ray R. Hashemi’s work include Rough Sets and Fuzzy Logic (7 papers), Stock Market Forecasting Methods (4 papers) and Data Mining Algorithms and Applications (3 papers). Ray R. Hashemi is often cited by papers focused on Rough Sets and Fuzzy Logic (7 papers), Stock Market Forecasting Methods (4 papers) and Data Mining Algorithms and Applications (3 papers). Ray R. Hashemi collaborates with scholars based in United States, Ireland and Iran. Ray R. Hashemi's co-authors include M. H. Kargarnovin, John F. Young, Mehdi Razzaghi, Frederick R. Jelovsek, Weida Tong, Qian Xie, Bruce A. Pearce, M Cheeseman, Ralph L. Kodell and Tetsuya J. Kobayashi and has published in prestigious journals such as Annals of the New York Academy of Sciences, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Ray R. Hashemi i

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Fields of papers citing papers by Ray R. Hashemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray R. Hashemi. 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 Ray R. Hashemi. The network helps show where Ray R. Hashemi may publish in the future.

Countries citing papers authored by Ray R. Hashemi

Since Specialization

Citations

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