Md. Mohsin Kabir
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Plant Science
- Co-authors
- M. F. MridhaJamin Rahman JimAklima Akter LimaSujoy Chandra DasJungpil ShinYutaka WatanobeMd. Rashedul IslamSultan Alfarhood
- Topics
- Smart Agriculture and AI (11 papers)Advanced Neural Network Applications (8 papers)COVID-19 diagnosis using AI (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- BangladeshJapanSaudi Arabia
In The Last Decade
Md. Mohsin Kabir
67 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 440
- Computer Vision and Pattern Recognition 199
- Cognitive Neuroscience 150
- Radiology, Nuclear Medicine and Imaging 132
- Plant Science 103
Countries citing papers authored by Md. Mohsin Kabir
This map shows the geographic impact of Md. Mohsin Kabir'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 Md. Mohsin Kabir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Mohsin Kabir more than expected).
Fields of papers citing papers by Md. Mohsin Kabir
This network shows the impact of papers produced by Md. Mohsin Kabir. 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 Md. Mohsin Kabir. The network helps show where Md. Mohsin Kabir may publish in the future.
Co-authorship network of co-authors of Md. Mohsin Kabir
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Mohsin Kabir. A scholar is included among the top collaborators of Md. Mohsin Kabir 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 Md. Mohsin Kabir. Md. Mohsin Kabir 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 | 7 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directionsbreakdown → | 55 |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 49 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 57 | |
| 17 | 19 | |
| 18 | 70 | |
| 19 | 128 | |
| 20 | 22 |
About Md. Mohsin Kabir
Md. Mohsin Kabir is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Health Information Management, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Advanced Neural Network Applications (8 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Health Informatics (30 citations), Artificial Intelligence (440 citations) and Health Information Management (57 citations). Md. Mohsin Kabir has collaborated with scholars based in Bangladesh, Japan and Saudi Arabia. Frequent co-authors include M. F. Mridha, Jamin Rahman Jim, Aklima Akter Lima, Sujoy Chandra Das, Jungpil Shin, Yutaka Watanobe, Md. Rashedul Islam, Sultan Alfarhood, Mejdl Safran and Kamruddin Nur. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.