Nima Reyhani

12 papers and 307 indexed citations i.

About

Nima Reyhani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nima Reyhani has authored 12 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Nima Reyhani’s work include Neural Networks and Applications (4 papers), Blind Source Separation Techniques (4 papers) and Sparse and Compressive Sensing Techniques (2 papers). Nima Reyhani is often cited by papers focused on Neural Networks and Applications (4 papers), Blind Source Separation Techniques (4 papers) and Sparse and Compressive Sensing Techniques (2 papers). Nima Reyhani collaborates with scholars based in Finland, United States and Japan. Nima Reyhani's co-authors include Amaury Lendasse, Yongnan Ji, Hao Jin, Antti Sorjamaa, Soheil Behnezhad, Ricardo Vigário, Erkki Oja, Denis Đermadi, Essi Päivärinta and Maciej Łałowski and has published in prestigious journals such as PLoS ONE, Neural Computation and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Nima Reyhani i

Fields of papers citing papers by Nima Reyhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nima Reyhani

Since Specialization
Citations

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