Pouya Bashivan

2.1k citations
27 papers · 764 · h-index 9

Impact in

Papers in

    • Neural dynamics and brain function 5
    • Visual perception and processing mechanisms 5
    • Functional Brain Connectivity Studies 5
    • Face Recognition and Perception 2
    • Neural Networks and Applications 6

Pouya Bashivan

25 papers receiving 744 citations

Peers

Pouya Bashivan
Comparison fields: 5 of 59
  • Cognitive Neuroscience 547
  • Computer Vision and Pattern Recognition 133
  • Artificial Intelligence 129
  • Experimental and Cognitive Psychology 62
  • Health Informatics 8
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Citations per year

Countries citing papers authored by Pouya Bashivan

Since Specialization
Citations

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

Fields of papers citing papers by Pouya Bashivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pouya Bashivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pouya Bashivan Line = papers co-authored together Pouya Bashivan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019243
2 2018231
3 202173
4 201468
5 201729
6 201523
7 201216
8 201912
9 202012
10 20087
11 20147
12 20197
13 20237
14 20086
15 20174
16 20163
17 20243
18 20253
19
Commonality and singularity in working memory network predicting performance and individual differences
20162
20 20242

About Pouya Bashivan

Pouya Bashivan is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Experimental and Cognitive Psychology, having authored 27 papers that have together received 764 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers), Advanced Neural Network Applications (5 papers), Functional Brain Connectivity Studies (5 papers), Control Systems and Identification (3 papers), Face Recognition and Perception (2 papers) and Cognitive Abilities and Testing (2 papers). The work is most often cited by research in Cognitive Neuroscience (547 citations), Computer Vision and Pattern Recognition (133 citations), Artificial Intelligence (129 citations), Experimental and Cognitive Psychology (62 citations) and Health Informatics (8 citations). Pouya Bashivan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include James J. DiCarlo, Kohitij Kar, Elias B. Issa, Kailyn Schmidt, Rishi Rajalingham, Gavin M. Bidelman, Mohammed Yeasin, N. Apurva Ratan Murty, Nancy Kanwisher and Alireza Fatehi. Their work appears in journals such as Nature Communications, Expert Systems with Applications, Journal of Process Control, Neural Networks and Schizophrenia.

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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