Shounak Datta
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Accounting top 10%
- Co-authors
- Swagatam DasB.B. ChaudhuriSankha Subhra MullickChiranjib BhattacharjeeParamita BhattacharyaS.A. ParsonsSuman DuttaSibdas Bandyopadhyay
- Topics
- Imbalanced Data Classification Techniques (7 papers)Text and Document Classification Technologies (5 papers)Electricity Theft Detection Techniques (4 papers)
- Partner nations
- IndiaUnited StatesBrazil
In The Last Decade
Shounak Datta
21 papers receiving 734 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 446
- Electrical and Electronic Engineering 180
- Computer Vision and Pattern Recognition 101
- Biomedical Engineering 87
- Accounting 60
Countries citing papers authored by Shounak Datta
This map shows the geographic impact of Shounak Datta'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 Shounak Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shounak Datta more than expected).
Fields of papers citing papers by Shounak Datta
This network shows the impact of papers produced by Shounak Datta. 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 Shounak Datta. The network helps show where Shounak Datta may publish in the future.
Co-authorship network of co-authors of Shounak Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Shounak Datta. A scholar is included among the top collaborators of Shounak Datta 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 Shounak Datta. Shounak Datta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | A Deep Learning-Based Mapping of Structure to Function in Glaucoma | 1 |
| 3 | 52 | |
| 4 | 29 | |
| 5 | 32 | |
| 6 | 98 | |
| 7 | 162 | |
| 8 | 27 | |
| 9 | On Boosting, Tug of War, and Lexicographic Programming. | 1 |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 21 | |
| 13 | 126 | |
| 14 | 5 | |
| 15 | 65 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 15 | |
| 19 | 50 | |
| 20 | 12 |
About Shounak Datta
Shounak Datta is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Ophthalmology, having authored 21 papers that have together received 756 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (7 papers), Text and Document Classification Technologies (5 papers) and Electricity Theft Detection Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (446 citations), Health Information Management (51 citations) and Accounting (60 citations). Shounak Datta has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Swagatam Das, B.B. Chaudhuri, Sankha Subhra Mullick, Chiranjib Bhattacharjee, Paramita Bhattacharya, S.A. Parsons, Suman Dutta, Sibdas Bandyopadhyay, Peter Jarvis and Surajit Bhattacharjee. Their work appears in journals such as Chemical Engineering Journal, Desalination 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.