Chanchal Chatterjee
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Control and Systems Engineering
- Co-authors
- Vwani RoychowdhuryEdwin K. P. ChongJavier RamosM.D. ZoltowskiR.L. KashyapYung‐Fang ChenBrian DustonBala V. Balachandran
- Topics
- Blind Source Separation Techniques (11 papers)Neural Networks and Applications (10 papers)Image Processing Techniques and Applications (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Signal ProcessingPattern Recognition
- Partner nations
- United StatesSpain
In The Last Decade
Chanchal Chatterjee
26 papers receiving 341 citations
Peers
Comparison fields: 5 of 61
- Signal Processing 175
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 126
- Computational Mechanics 58
- Control and Systems Engineering 56
Countries citing papers authored by Chanchal Chatterjee
This map shows the geographic impact of Chanchal Chatterjee'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 Chanchal Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chanchal Chatterjee more than expected).
Fields of papers citing papers by Chanchal Chatterjee
This network shows the impact of papers produced by Chanchal Chatterjee. 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 Chanchal Chatterjee. The network helps show where Chanchal Chatterjee may publish in the future.
Co-authorship network of co-authors of Chanchal Chatterjee
This figure shows the co-authorship network connecting the top 25 collaborators of Chanchal Chatterjee. A scholar is included among the top collaborators of Chanchal Chatterjee 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 Chanchal Chatterjee. Chanchal Chatterjee 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 | 1 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 55 | |
| 8 | 35 | |
| 9 | 37 | |
| 10 | 33 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 49 | |
| 15 | 18 | |
| 16 | 9 | |
| 17 | Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition | 2 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 42 |
About Chanchal Chatterjee
Chanchal Chatterjee is a scholar working on Signal Processing, Media Technology and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 364 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (11 papers), Neural Networks and Applications (10 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Signal Processing (175 citations), Computer Vision and Pattern Recognition (126 citations) and Artificial Intelligence (137 citations). Chanchal Chatterjee has collaborated with scholars based in United States and Spain. Frequent co-authors include Vwani Roychowdhury, Edwin K. P. Chong, Javier Ramos, M.D. Zoltowski, R.L. Kashyap, Yung‐Fang Chen, Brian Duston and Bala V. Balachandran. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Pattern Recognition.
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.