Arijit Chowdhury
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Computer Networks and Communications
- Co-authors
- Tapas ChakravartyRajiv Ratn ShahRamit SawhneyTanushree BanerjeeAvik GhoseP. BalamuralidharDebanjan MahataDibyendu Roy
- Topics
- Autonomous Vehicle Technology and Safety (9 papers)Non-Invasive Vital Sign Monitoring (9 papers)Topic Modeling (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsSensors
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arijit Chowdhury
48 papers receiving 379 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 130
- Automotive Engineering 82
- Computer Vision and Pattern Recognition 81
- Biomedical Engineering 60
- Computer Networks and Communications 43
Countries citing papers authored by Arijit Chowdhury
This map shows the geographic impact of Arijit Chowdhury'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 Arijit Chowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Chowdhury more than expected).
Fields of papers citing papers by Arijit Chowdhury
This network shows the impact of papers produced by Arijit Chowdhury. 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 Arijit Chowdhury. The network helps show where Arijit Chowdhury may publish in the future.
Co-authorship network of co-authors of Arijit Chowdhury
This figure shows the co-authorship network connecting the top 25 collaborators of Arijit Chowdhury. A scholar is included among the top collaborators of Arijit Chowdhury 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 Arijit Chowdhury. Arijit Chowdhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 35 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 24 |
About Arijit Chowdhury
Arijit Chowdhury is a scholar working on Automotive Engineering, Artificial Intelligence and Biomedical Engineering, having authored 52 papers that have together received 404 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Topic Modeling (5 papers). The work is most often cited by research in Automotive Engineering (82 citations), Artificial Intelligence (130 citations) and Computer Vision and Pattern Recognition (81 citations). Arijit Chowdhury has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Tapas Chakravarty, Rajiv Ratn Shah, Ramit Sawhney, Tanushree Banerjee, Avik Ghose, P. Balamuralidhar, Debanjan Mahata, Dibyendu Roy, Madhubanti Maitra and Samar Bhattacharya. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Sensors.
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.