Nishith Kumar
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- Gene expression and cancer classification 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)Md. Maniruzzaman (2 shared papers)Harman S. Suri (2 shared papers)Ayman El‐Baz (2 shared papers)Md. Menhazul Abedin (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)Scientific Reports (1 paper)BMC Bioinformatics (1 paper)Journal of Global Health (1 paper)
- Partner nations
- BangladeshJapanUnited States
In The Last Decade
Nishith Kumar
17 papers receiving 376 citations
Peers
Comparison fields: 5 of 100
- Health Information Management 145
- Health Informatics 10
- Complementary and alternative medicine 44
- Artificial Intelligence 127
- 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 | 184 | |
| 2 | 2018 | 42 | |
| 3 | 2018 | 42 | |
| 4 | 2017 | 38 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 13 | |
| 7 | 2017 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2024 | 2 | |
| 15 | A New Graphical Multivariate Outlier Detection Technique Using Singular Value Decomposition | 2012 | 2 |
| 16 | 2012 | 2 | |
| 17 | 2020 | 1 |
About Nishith Kumar
Nishith Kumar is a scholar working on Molecular Biology, Statistics and Probability, Health Information Management, Pediatrics, Perinatology and Child Health and Oncology, having authored 17 papers that have together received 391 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Gene expression and cancer classification (4 papers), Advanced Statistical Methods and Models (3 papers), Molecular Biology Techniques and Applications (3 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Global Maternal and Child Health (2 papers) and Traditional Chinese Medicine Studies (2 papers). The work is most often cited by research in Health Information Management (145 citations), Health Informatics (10 citations), Complementary and alternative medicine (44 citations), Artificial Intelligence (127 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, Md. Maniruzzaman, Harman S. Suri, Ayman El‐Baz, Md. Menhazul Abedin, 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, Scientific Reports, BMC Bioinformatics and Journal of Global Health.
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.