Mainak Biswas
Impact in
- Health Informatics top 2%
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
-
- Image Retrieval and Classification Techniques 7
- Advanced Vision and Imaging 7
- Medical Image Segmentation Techniques 3
- Co-authors
- Harman S. SuriJasjit S. SuriVenkatanareshbabu KuppiliDamodar Reddy EdlaLuca SabaJohn R. LairdNarendra N. KhannaTruong Q. Nguyen
- Journals
- IEEE Transactions on Image Processing (2 papers)Computer Methods and Programs in Biomedicine (2 papers)Computers in Biology and Medicine (2 papers)Sadhana (1 paper)NeuroImage (1 paper)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Mainak Biswas
38 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Health Informatics 79
- Neurology 240
- Computer Vision and Pattern Recognition 416
- Radiology, Nuclear Medicine and Imaging 470
- Media Technology 125
Countries citing papers authored by Mainak Biswas
This map shows the geographic impact of Mainak Biswas'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 Mainak Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mainak Biswas more than expected).
Fields of papers citing papers by Mainak Biswas
This network shows the impact of papers produced by Mainak Biswas. 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 Mainak Biswas. The network helps show where Mainak Biswas may publish in the future.
Co-authors
The 25 scholars most cited alongside Mainak Biswas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 2 | |
| 6 | An Experimental Investigation of the Behavior of Nylon Fibre Reinforced Concrete | 2020 | 1 |
| 7 | A Study of Manufacturing Bricks Using Plastic Wastes | 2020 | 3 |
| 8 | 2020 | 41 | |
| 9 | 2019 | 236 | |
| 10 | 2019 | 84 | |
| 11 | 2019 | 31 | |
| 12 | 2018 | 18 | |
| 13 | 2018 | 44 | |
| 14 | 2018 | 59 | |
| 15 | 2017 | 126 | |
| 16 | 2017 | 96 | |
| 17 | 2016 | 3 | |
| 18 | 2011 | 63 | |
| 19 | 2003 | 12 | |
| 20 | 2000 | 46 |
About Mainak Biswas
Mainak Biswas is a scholar working on Computer Vision and Pattern Recognition, Health Informatics, Computer Graphics and Computer-Aided Design, Signal Processing and Media Technology, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (7 papers), Advanced Vision and Imaging (7 papers), AI in cancer detection (6 papers), Video Coding and Compression Technologies (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Medical Image Segmentation Techniques (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (79 citations), Neurology (240 citations), Computer Vision and Pattern Recognition (416 citations), Radiology, Nuclear Medicine and Imaging (470 citations) and Media Technology (125 citations). Mainak Biswas has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Harman S. Suri, Jasjit S. Suri, Venkatanareshbabu Kuppili, Damodar Reddy Edla, Luca Saba, John R. Laird, Narendra N. Khanna, Truong Q. Nguyen, Elisa Cuadrado‐Godia and Andrew Nicolaides. Their work appears in journals such as IEEE Transactions on Image Processing, Computer Methods and Programs in Biomedicine, Computers in Biology and Medicine, Sadhana and NeuroImage.
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.