Bindita Chaudhuri

19 total papers · 491 total citations
8 papers, 265 citations indexed

About

Bindita Chaudhuri is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Cognitive Neuroscience. According to data from OpenAlex, Bindita Chaudhuri has authored 8 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Statistics and Probability and 2 papers in Cognitive Neuroscience. Recurrent topics in Bindita Chaudhuri's work include Random Matrices and Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Hand Gesture Recognition Systems (2 papers). Bindita Chaudhuri is often cited by papers focused on Random Matrices and Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Hand Gesture Recognition Systems (2 papers). Bindita Chaudhuri collaborates with scholars based in India, United States and Italy. Bindita Chaudhuri's co-authors include Begüm Demir, Subhasis Chaudhuri, Lorenzo Bruzzone, P. Vellaisamy, Deepali Aneja, Alex Colburn, Linda G. Shapiro, Jacob O. Wobbrock, James Fogarty and Richard E. Ladner and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Journal of Applied Probability.

In The Last Decade

Bindita Chaudhuri

8 papers receiving 252 citations

Author Peers

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

Author Last Decade Papers Cites
Bindita Chaudhuri 194 143 59 22 17 8 265
Yingying Jiang 224 1.2× 109 0.8× 37 0.6× 9 0.4× 5 0.3× 14 278
K. Koperski 131 0.7× 109 0.8× 43 0.7× 5 0.2× 30 1.8× 10 260
Gungor Polatkan 152 0.8× 62 0.4× 76 1.3× 7 0.3× 5 0.3× 11 293
Elnaz Barshan 92 0.5× 20 0.1× 87 1.5× 7 0.3× 6 0.4× 7 234
Daqian Shi 75 0.4× 74 0.5× 173 2.9× 6 0.3× 20 1.2× 11 306
Nino Shervashidze 80 0.4× 98 0.7× 121 2.1× 5 0.2× 81 4.8× 7 281
Ajay Kumar Boyat 201 1.0× 111 0.8× 43 0.7× 4 0.2× 4 0.2× 8 315
Ralf R. Kohler 221 1.1× 63 0.4× 40 0.7× 6 0.3× 5 0.3× 6 311
Steven Walton 192 1.0× 70 0.5× 76 1.3× 3 0.1× 8 0.5× 5 283
Peng Liu 174 0.9× 110 0.8× 83 1.4× 2 0.1× 9 0.5× 10 300

Countries citing papers authored by Bindita Chaudhuri

Since Specialization
Citations

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

Fields of papers citing papers by Bindita Chaudhuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bindita Chaudhuri

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