Massih-Reza Amini

32 papers and 211 indexed citations i.

About

Massih-Reza Amini is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Massih-Reza Amini has authored 32 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Massih-Reza Amini’s work include Topic Modeling (6 papers), Machine Learning and Algorithms (5 papers) and Machine Learning and Data Classification (5 papers). Massih-Reza Amini is often cited by papers focused on Topic Modeling (6 papers), Machine Learning and Algorithms (5 papers) and Machine Learning and Data Classification (5 papers). Massih-Reza Amini collaborates with scholars based in France, United States and Italy. Massih-Reza Amini's co-authors include Nicolas Usunier, Georgios Balikas, Cyril Goutte, Marianne Clausel, Emanuele Frontoni, Michele Bernardini, Luca Romeo, Patrick Gallinari, Éric Gaussier and Sihem Amer-Yahia and has published in prestigious journals such as Neurocomputing, Machine Learning and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Massih-Reza Amini i

Fields of papers citing papers by Massih-Reza Amini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massih-Reza Amini. 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 Massih-Reza Amini. The network helps show where Massih-Reza Amini may publish in the future.

Countries citing papers authored by Massih-Reza Amini

Since Specialization
Citations

This map shows the geographic impact of Massih-Reza Amini'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 Massih-Reza Amini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massih-Reza Amini 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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2025