Bindita Chaudhuri
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Artificial Intelligence
- Management Science and Operations Research
- Atmospheric Science
- Co-authors
- Begüm DemirSubhasis ChaudhuriLorenzo BruzzoneP. VellaisamyLinda G. ShapiroAlex ColburnDeepali AnejaRichard E. Ladner
- Topics
- Random Matrices and Applications (3 papers)Point processes and geometric inequalities (2 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Geoscience and Remote Sensing LettersJournal of Applied Probability
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Bindita Chaudhuri
8 papers receiving 255 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 194
- Media Technology 144
- Artificial Intelligence 59
- Management Science and Operations Research 22
- Atmospheric Science 17
Countries citing papers authored by Bindita Chaudhuri
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 166 | |
| 5 | 51 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 11 |
About Bindita Chaudhuri
Bindita Chaudhuri is a scholar working on Statistics and Probability, Human-Computer Interaction and Applied Mathematics, having authored 8 papers that have together received 268 indexed citations. Recurring topics across this work include Random Matrices and Applications (3 papers), Point processes and geometric inequalities (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Media Technology (144 citations), Computer Vision and Pattern Recognition (194 citations) and Statistics and Probability (16 citations). Bindita Chaudhuri has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Begüm Demir, Subhasis Chaudhuri, Lorenzo Bruzzone, P. Vellaisamy, Linda G. Shapiro, Alex Colburn, Deepali Aneja, Richard E. Ladner, James Fogarty and Jacob O. Wobbrock. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Journal of Applied Probability.
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.