Arnab Kumar Mishra
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Endocrinology, Diabetes and Metabolism
- Human-Computer Interaction top 5%
- Co-authors
- Pinki RoySujit Kumar DasSivaji BandyopadhyayAnkit ChaudharyJagdish Lal RahejaSudhir Kumar MohapatraSrinivas PrasadCemal Hanilçi
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)AI in cancer detection (6 papers)Diabetic Foot Ulcer Assessment and Management (3 papers)
In The Last Decade
Arnab Kumar Mishra
14 papers receiving 407 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 183
- Radiology, Nuclear Medicine and Imaging 181
- Computer Vision and Pattern Recognition 97
- Endocrinology, Diabetes and Metabolism 86
- Human-Computer Interaction 81
Countries citing papers authored by Arnab Kumar Mishra
This map shows the geographic impact of Arnab Kumar Mishra'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 Arnab Kumar Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Kumar Mishra more than expected).
Fields of papers citing papers by Arnab Kumar Mishra
This network shows the impact of papers produced by Arnab Kumar Mishra. 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 Arnab Kumar Mishra. The network helps show where Arnab Kumar Mishra may publish in the future.
Co-authorship network of co-authors of Arnab Kumar Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Kumar Mishra. A scholar is included among the top collaborators of Arnab Kumar Mishra 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 Arnab Kumar Mishra. Arnab Kumar Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 21 | |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 57 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 68 | |
| 11 | 107 | |
| 12 | 4 | |
| 13 | Automatic Diabetes Prediction Using Tree Based Ensemble Learners | 13 |
| 14 | 90 |
About Arnab Kumar Mishra
Arnab Kumar Mishra is a scholar working on Health Information Management, Software and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 430 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). The work is most often cited by research in Health Informatics (20 citations), Human-Computer Interaction (81 citations) and Radiology, Nuclear Medicine and Imaging (181 citations). Arnab Kumar Mishra has collaborated with scholars based in India and Ethiopia. Frequent co-authors include Pinki Roy, Sujit Kumar Das, Sivaji Bandyopadhyay, Ankit Chaudhary, Jagdish Lal Raheja, Sudhir Kumar Mohapatra, Srinivas Prasad and Cemal Hanilçi. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Imaging Systems and Technology and ICT Express.
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.