Abhijit Chandra
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Sudipta ChattopadhyayKrishnendu BhattacharyyaRajani K. MudiSalil K. SanyalSouvik ChattopadhyayDeepak BansalManish GuptaRajeev Shorey
- Topics
- Digital Filter Design and Implementation (26 papers)Advanced Adaptive Filtering Techniques (25 papers)Metaheuristic Optimization Algorithms Research (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysical Review APhysics Letters A
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Abhijit Chandra
66 papers receiving 476 citations
Peers
Comparison fields: 5 of 67
- Signal Processing 198
- Electrical and Electronic Engineering 125
- Computational Mechanics 119
- Computer Vision and Pattern Recognition 106
- Biomedical Engineering 78
Countries citing papers authored by Abhijit Chandra
This map shows the geographic impact of Abhijit Chandra'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 Abhijit Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit Chandra more than expected).
Fields of papers citing papers by Abhijit Chandra
This network shows the impact of papers produced by Abhijit Chandra. 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 Abhijit Chandra. The network helps show where Abhijit Chandra may publish in the future.
Co-authorship network of co-authors of Abhijit Chandra
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Chandra. A scholar is included among the top collaborators of Abhijit Chandra 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 Abhijit Chandra. Abhijit Chandra 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | Performance Analysis of Small Set Orthogonal Kasami Codes in CDMA System under Multi-path Scenario | 1 |
| 16 | 32 | |
| 17 | 1 | |
| 18 | Design of FIR pulse-shaping filter: Superiority of Differential Evolution optimization over Convex optimization | 4 |
| 19 | Small Set Orthogonal Kasami codes for CDMA system | 2 |
| 20 | 3 |
About Abhijit Chandra
Abhijit Chandra is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 505 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (26 papers), Advanced Adaptive Filtering Techniques (25 papers) and Metaheuristic Optimization Algorithms Research (10 papers). The work is most often cited by research in Signal Processing (198 citations), Computational Mechanics (119 citations) and Modeling and Simulation (26 citations). Abhijit Chandra has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Sudipta Chattopadhyay, Krishnendu Bhattacharyya, Rajani K. Mudi, Salil K. Sanyal, Souvik Chattopadhyay, Deepak Bansal, Manish Gupta, Rajeev Shorey, Rajarshi Gupta and Sandeep Srivastava. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical Review A and Physics Letters A.
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.