Monali Gulhane
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Artificial Intelligence in Healthcare 11
- Co-authors
- Nitin Rakesh (38 shared papers)Shilpa Choudhary (5 shared papers)Sandeep Kumar (5 shared papers)Sandeep Kumar (6 shared papers)Mandeep Kaur (5 shared papers)Munish Kumar (5 shared papers)Rashmi Verma (3 shared papers)Ankita Tiwari (2 shared papers)
- Journals
- SLAS TECHNOLOGY (1 paper)Frontiers in Human Neuroscience (1 paper)BMC Medical Informatics and Decision Making (1 paper)Journal of Cellular and Molecular Medicine (1 paper)International Journal of Information Technology (2 papers)
- Partner nations
- IndiaUnited Arab EmiratesSaudi Arabia
In The Last Decade
Monali Gulhane
37 papers receiving 111 citations
Peers
Comparison fields: 5 of 46
- Health Information Management 12
- Health Informatics 2
- Radiology, Nuclear Medicine and Imaging 15
- Human-Computer Interaction 3
- Information Systems 12
Countries citing papers authored by Monali Gulhane
This map shows the geographic impact of Monali Gulhane'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 Monali Gulhane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monali Gulhane more than expected).
Fields of papers citing papers by Monali Gulhane
This network shows the impact of papers produced by Monali Gulhane. 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 Monali Gulhane. The network helps show where Monali Gulhane may publish in the future.
Co-authors
The 25 scholars most cited alongside Monali Gulhane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 16 | |
| 2 | 2024 | 15 | |
| 3 | 2021 | 8 | |
| 4 | 2024 | 7 | |
| 5 | 2025 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2025 | 4 | |
| 9 | 2014 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Monali Gulhane
Monali Gulhane is a scholar working on Health Information Management, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 61 papers that have together received 120 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (11 papers), COVID-19 diagnosis using AI (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Biometric Identification and Security (3 papers), Brain Tumor Detection and Classification (3 papers), Machine Learning in Healthcare (3 papers), Face recognition and analysis (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Health Information Management (12 citations), Health Informatics (2 citations), Radiology, Nuclear Medicine and Imaging (15 citations), Human-Computer Interaction (3 citations) and Information Systems (12 citations). Monali Gulhane has collaborated with scholars based in India, United Arab Emirates and Saudi Arabia. Frequent co-authors include Nitin Rakesh, Shilpa Choudhary, Sandeep Kumar, Sandeep Kumar, Mandeep Kaur, Munish Kumar, Rashmi Verma, Ankita Tiwari, Yaodong Zhu and Chanderdeep Tandon. Their work appears in journals such as SLAS TECHNOLOGY, Frontiers in Human Neuroscience, BMC Medical Informatics and Decision Making, Journal of Cellular and Molecular Medicine and International Journal of Information Technology.
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.