Nitin Kumar Chauhan
- Health Informatics top 10%
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 2
- Artificial Intelligence top 10%
- AI in cancer detection 6
- Anomaly Detection Techniques and Applications 2
- Imbalanced Data Classification Techniques 1
-
- Brain Tumor Detection and Classification 2
-
- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 2
-
- Medical Imaging and Analysis 1
- Co-authors
- Krishna P. SinghMamta MittalD. Jude HemanthSeifedine KadryShubham MahajanDharmendra KumarSachin Kumar GuptaKrishna Kant Singh
- Journals
- Scientific Reports (1 paper)BioMed Research International (1 paper)Wireless Personal Communications (1 paper)
- Partner nations
- IndiaLebanonUnited Arab Emirates
In The Last Decade
Nitin Kumar Chauhan
7 papers receiving 265 citations
Peers
Comparison fields: 5 of 104
- Health Informatics 14
- Health Information Management 24
- Artificial Intelligence 109
- Neurology 20
- Radiology, Nuclear Medicine and Imaging 43
Countries citing papers authored by Nitin Kumar Chauhan
This map shows the geographic impact of Nitin Kumar Chauhan'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 Nitin Kumar Chauhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Kumar Chauhan more than expected).
Fields of papers citing papers by Nitin Kumar Chauhan
This network shows the impact of papers produced by Nitin Kumar Chauhan. 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 Nitin Kumar Chauhan. The network helps show where Nitin Kumar Chauhan may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Nitin Kumar Chauhan, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 10 | |
| 9 | 2018 | 202 |
About Nitin Kumar Chauhan
Nitin Kumar Chauhan is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 9 papers that have together received 273 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Tumor Detection and Classification (2 papers), Artificial Intelligence in Healthcare (2 papers), COVID-19 diagnosis using AI (2 papers), Anomaly Detection Techniques and Applications (2 papers), Medical Imaging and Analysis (1 paper) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Health Informatics (14 citations), Health Information Management (24 citations) and Artificial Intelligence (109 citations). Nitin Kumar Chauhan has collaborated with scholars based in India, Lebanon and United Arab Emirates. Frequent co-authors include Krishna P. Singh, Mamta Mittal, D. Jude Hemanth, Seifedine Kadry, Shubham Mahajan, Dharmendra Kumar, Sachin Kumar Gupta, Krishna Kant Singh and Ashutosh Mishra. Their work appears in journals such as Scientific Reports, BioMed Research International and Wireless Personal Communications.
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.