Nishith Kumar
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Gene expression and cancer classification 4
- Metabolomics and Mass Spectrometry Studies 4
- Molecular Biology Techniques and Applications 3
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- Advanced Statistical Methods and Models 3
- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Co-authors
- Md. Aminul Hoque (7 shared papers)Harman S. Suri (2 shared papers)Md. Maniruzzaman (2 shared papers)Md. Menhazul Abedin (2 shared papers)Ayman El‐Baz (2 shared papers)Jasjit S. Suri (1 shared paper)Md. Shahjaman (6 shared papers)Masahiro Sugimoto (3 shared papers)
- Journals
- BioMed Research International (2 papers)PLoS ONE (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Journal of Global Health (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- BangladeshJapanUnited States
In The Last Decade
Nishith Kumar
17 papers receiving 383 citations
Peers
Comparison fields: 5 of 94
- Health Information Management 139
- Health Informatics 9
- Complementary and alternative medicine 37
- Artificial Intelligence 109
- Statistics and Probability 17
Countries citing papers authored by Nishith Kumar
This map shows the geographic impact of Nishith Kumar'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 Nishith Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishith Kumar more than expected).
Fields of papers citing papers by Nishith Kumar
This network shows the impact of papers produced by Nishith Kumar. 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 Nishith Kumar. The network helps show where Nishith Kumar may publish in the future.
Co-authors
The 23 scholars most cited alongside Nishith Kumar, 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 | 2017 | 183 | |
| 2 | 2018 | 46 | |
| 3 | 2018 | 42 | |
| 4 | 2017 | 38 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 11 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2012 | 2 | |
| 16 | A New Graphical Multivariate Outlier Detection Technique Using Singular Value Decomposition | 2012 | 2 |
| 17 | 2020 | 1 |
About Nishith Kumar
Nishith Kumar is a scholar working on Molecular Biology, Statistics and Probability, Pediatrics, Perinatology and Child Health, Oncology and Management Science and Operations Research, having authored 17 papers that have together received 396 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Molecular Biology Techniques and Applications (3 papers), Advanced Statistical Methods and Models (3 papers), Global Maternal and Child Health (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Health Information Management (139 citations), Health Informatics (9 citations), Complementary and alternative medicine (37 citations), Artificial Intelligence (109 citations) and Statistics and Probability (17 citations). Nishith Kumar has collaborated with scholars based in Bangladesh, Japan and United States. Frequent co-authors include Md. Aminul Hoque, Harman S. Suri, Md. Maniruzzaman, Md. Menhazul Abedin, Ayman El‐Baz, Jasjit S. Suri, Md. Shahjaman, Masahiro Sugimoto, Md. Nurul Haque Mollah and S. M. Shahinul Islam. Their work appears in journals such as BioMed Research International, PLoS ONE, Computer Methods and Programs in Biomedicine, Journal of Global Health and BMC Bioinformatics.
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.