Peyman Najafirad

About

Peyman Najafirad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Peyman Najafirad has authored 17 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Cognitive Neuroscience. Recurrent topics in Peyman Najafirad’s work include Adversarial Robustness in Machine Learning (3 papers), Advanced Graph Neural Networks (2 papers) and Multimodal Machine Learning Applications (2 papers). Peyman Najafirad is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Graph Neural Networks (2 papers) and Multimodal Machine Learning Applications (2 papers). Peyman Najafirad collaborates with scholars based in United States and Mexico. Peyman Najafirad's co-authors include H. Raghav Rao, Rohit Valecha, Nicole Lang Beebe, Yufei Huang, Arun Das, Edward J. Golob, Jeffrey R. Mock, Farzan Irani, Paul R. Young and Adel Alaeddini and has published in prestigious journals such as Sensors, IEEE Access and Frontiers in Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Peyman Najafirad i

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Fields of papers citing papers by Peyman Najafirad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peyman Najafirad

Since Specialization

Citations

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