Payman Yadollahpour

About

Payman Yadollahpour is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Payman Yadollahpour has authored 5 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Payman Yadollahpour’s work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Payman Yadollahpour is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Payman Yadollahpour collaborates with scholars based in United States, Israel and Canada. Payman Yadollahpour's co-authors include Gregory Shakhnarovich, Mohammadreza Mostajabi, John M.K. Mislow, John P. Donoghue, Carlos E. Vargas-Irwin, Michael J. Black, Gabriele Scalia, Daniela J. Di Bella, Juliana Brown and Sung Min Yang and has published in prestigious journals such as Nature, Journal of Neuroscience and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Payman Yadollahpour i

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Fields of papers citing papers by Payman Yadollahpour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Payman Yadollahpour

Since Specialization

Citations

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