Behnam Neyshabur

22 papers and 922 indexed citations i.

About

Behnam Neyshabur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Behnam Neyshabur has authored 22 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Behnam Neyshabur’s work include Neural Networks and Applications (6 papers), Advanced Neural Network Applications (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Behnam Neyshabur is often cited by papers focused on Neural Networks and Applications (6 papers), Advanced Neural Network Applications (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Behnam Neyshabur collaborates with scholars based in United States, Canada and Japan. Behnam Neyshabur's co-authors include Nathan Srebro, Srinadh Bhojanapalli, Somaye Hashemifar, Jinbo Xu, Aly A. Khan, David McAllester, Ryota Tomioka, Seyed Shahriar Arab, Ruslan Salakhutdinov and Suriya Gunasekar and has published in prestigious journals such as Bioinformatics, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Behnam Neyshabur i

Fields of papers citing papers by Behnam Neyshabur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Behnam Neyshabur

Since Specialization
Citations

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