Tanaya Guha

108 total papers · 1.4k total citations
53 papers, 862 citations indexed

About

Tanaya Guha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Tanaya Guha has authored 53 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 13 papers in Artificial Intelligence. Recurrent topics in Tanaya Guha's work include Music and Audio Processing (10 papers), Video Surveillance and Tracking Methods (8 papers) and Emotion and Mood Recognition (8 papers). Tanaya Guha is often cited by papers focused on Music and Audio Processing (10 papers), Video Surveillance and Tracking Methods (8 papers) and Emotion and Mood Recognition (8 papers). Tanaya Guha collaborates with scholars based in United Kingdom, United States and India. Tanaya Guha's co-authors include Shrikanth Narayanan, Rabab Ward, Ruth B. Grossman, Zhaojun Yang, Víctor Sánchez, Rahul Gupta, Maarten Van Segbroeck, Ehsan Nezhadarya, Bo Xiao and Nikolaos Malandrakis and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Tanaya Guha

48 papers receiving 828 citations

Author Peers

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

Author Last Decade Papers Cites
Tanaya Guha 507 240 162 150 111 53 862
Minh Hoai Nguyen 454 0.9× 257 1.1× 280 1.7× 113 0.8× 82 0.7× 31 945
Emmanuel Dellandréa 490 1.0× 243 1.0× 235 1.5× 106 0.7× 145 1.3× 32 919
Ioan Buciu 709 1.4× 187 0.8× 213 1.3× 76 0.5× 150 1.4× 37 947
Çiğdem Eroğlu Erdem 673 1.3× 149 0.6× 295 1.8× 73 0.5× 321 2.9× 62 996
D. Marshall 299 0.6× 157 0.7× 185 1.1× 183 1.2× 83 0.7× 25 797
Mitch Wilkes 432 0.9× 215 0.9× 295 1.8× 71 0.5× 253 2.3× 21 945
José Luis Alba‐Castro 502 1.0× 162 0.7× 75 0.5× 88 0.6× 271 2.4× 74 906
Xianye Ben 650 1.3× 220 0.9× 230 1.4× 53 0.4× 112 1.0× 52 914
Xavier Baró 567 1.1× 205 0.9× 197 1.2× 65 0.4× 73 0.7× 53 919
O.V. Ramana Murthy 497 1.0× 155 0.6× 362 2.2× 146 1.0× 58 0.5× 58 910

Countries citing papers authored by Tanaya Guha

Since Specialization
Citations

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

Fields of papers citing papers by Tanaya Guha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanaya Guha

This figure shows the co-authorship network connecting the top 25 collaborators of Tanaya Guha. A scholar is included among the top collaborators of Tanaya Guha 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 Tanaya Guha. Tanaya Guha 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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