Manish Chowdhury
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Co-authors
- Malay K. KunduSudeb DasLipi B. MahantaKangkana BoraAnup Kumar DasSamuel Rota BulòElima HussainChandana Das
- Topics
- Image Retrieval and Classification Techniques (12 papers)Advanced Image and Video Retrieval Techniques (10 papers)Advanced Image Fusion Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaChemical Engineering JournalSensors and Actuators B Chemical
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Manish Chowdhury
25 papers receiving 597 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 349
- Artificial Intelligence 313
- Neurology 143
- Radiology, Nuclear Medicine and Imaging 108
- Epidemiology 104
Countries citing papers authored by Manish Chowdhury
This map shows the geographic impact of Manish 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 Manish Chowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Chowdhury more than expected).
Fields of papers citing papers by Manish Chowdhury
This network shows the impact of papers produced by Manish 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 Manish Chowdhury. The network helps show where Manish Chowdhury may publish in the future.
Co-authorship network of co-authors of Manish Chowdhury
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Chowdhury. A scholar is included among the top collaborators of Manish 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 Manish Chowdhury. Manish 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 | 0 | |
| 2 | 17 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 58 | |
| 8 | 3 | |
| 9 | 23 | |
| 10 | 21 | |
| 11 | 123 | |
| 12 | 9 | |
| 13 | 61 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | 46 |
About Manish Chowdhury
Manish Chowdhury is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Spectroscopy, having authored 26 papers that have together received 619 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Neurology (143 citations), Computer Vision and Pattern Recognition (349 citations) and Media Technology (104 citations). Manish Chowdhury has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Malay K. Kundu, Sudeb Das, Lipi B. Mahanta, Kangkana Bora, Anup Kumar Das, Samuel Rota Bulò, Elima Hussain, Chandana Das, Anup Das and Matthew A. Oehlschlaeger. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Sensors and Actuators B Chemical.
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.