Yashas Rai

15 total papers · 446 total citations
6 papers, 82 citations indexed

About

Yashas Rai is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Yashas Rai has authored 6 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 2 papers in Human-Computer Interaction. Recurrent topics in Yashas Rai's work include Visual Attention and Saliency Detection (6 papers), Visual perception and processing mechanisms (4 papers) and Image and Video Quality Assessment (4 papers). Yashas Rai is often cited by papers focused on Visual Attention and Saliency Detection (6 papers), Visual perception and processing mechanisms (4 papers) and Image and Video Quality Assessment (4 papers). Yashas Rai collaborates with scholars based in France and United Kingdom. Yashas Rai's co-authors include Patrick Le Callet, Jesús Gutiérrez, Erwan David, Marcus Barkowsky, Suiyi Ling, Moschos A. Papadopoulos, Dimitris K. Agrafiotis, Angeliki Katsenou and David Bull and has published in prestigious journals such as Signal Processing Image Communication, HAL (Le Centre pour la Communication Scientifique Directe) and Electronic Imaging.

In The Last Decade

Yashas Rai

6 papers receiving 81 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yashas Rai 74 23 18 9 8 6 82
Kyle Min 135 1.8× 13 0.6× 19 1.1× 8 0.9× 5 0.6× 6 153
Yana Nehmé 76 1.0× 9 0.4× 13 0.7× 9 1.0× 1 0.1× 5 106
Paria Mehrani 56 0.8× 17 0.7× 8 0.4× 5 0.6× 12 1.5× 6 73
Wilfried M. Osberger 249 3.4× 46 2.0× 19 1.1× 41 4.6× 10 1.3× 10 265
Takuya Kobayashi 42 0.6× 10 0.4× 12 0.7× 7 0.8× 8 67
Kishore Reddy 38 0.5× 8 0.3× 4 0.2× 16 1.8× 6 93
Mingtian Zhao 220 3.0× 41 1.8× 4 0.2× 6 0.7× 2 0.3× 12 256
Qaiser Mahmood 56 0.8× 21 0.9× 3 0.2× 8 0.9× 10 94
Marc Lapierre 190 2.6× 5 0.2× 15 0.8× 10 1.1× 5 233
Xin Lu 206 2.8× 95 4.1× 4 0.2× 29 3.2× 7 0.9× 11 241

Countries citing papers authored by Yashas Rai

Since Specialization
Citations

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

Fields of papers citing papers by Yashas Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yashas Rai

This figure shows the co-authorship network connecting the top 25 collaborators of Yashas Rai. A scholar is included among the top collaborators of Yashas Rai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yashas Rai. Yashas Rai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026