Sujit Kumar Dash
Impact in
-
- Power Systems and Renewable Energy
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- AI in cancer detection 5
- Neural Networks and Applications 3
-
- Energy Load and Power Forecasting 6
- Co-authors
- Srikanta Patnaik (13 shared papers)Sashikanta Prusty (13 shared papers)P.K. Dash (4 shared papers)Ranjeeta Bisoi (2 shared papers)Jyotirmayee Naik (1 shared paper)Sumanta Mondal (1 shared paper)Sukumar Mishra (1 shared paper)Gouri Kumar Dash (1 shared paper)
- Journals
- PeerJ Computer Science (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Journal of Modern Power Systems and Clean Energy (1 paper)Neural Computing and Applications (1 paper)Renewable Energy (1 paper)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
Sujit Kumar Dash
24 papers receiving 371 citations
Sujit Kumar Dash's Hit Papers
Peers
Comparison fields: 5 of 107
- Energy Engineering and Power Technology 20
- Health Information Management 18
- Artificial Intelligence 130
- Electrical and Electronic Engineering 140
- Environmental Engineering 34
Countries citing papers authored by Sujit Kumar Dash
This map shows the geographic impact of Sujit Kumar Dash'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 Sujit Kumar Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Kumar Dash more than expected).
Fields of papers citing papers by Sujit Kumar Dash
This network shows the impact of papers produced by Sujit Kumar Dash. 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 Sujit Kumar Dash. The network helps show where Sujit Kumar Dash may publish in the future.
Co-authors
The 16 scholars most cited alongside Sujit Kumar Dash, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer Hit paper breakdown → | 2022 | 147 |
| 2 | 2017 | 97 | |
| 3 | 2022 | 19 | |
| 4 | 2019 | 18 | |
| 5 | 2015 | 12 | |
| 6 | 2015 | 11 | |
| 7 | 2015 | 11 | |
| 8 | 2002 | 11 | |
| 9 | STUDIES ON GLUCOSE LOWERING EFFICACY OF THE ANTHOCEPHALUS CADAMBA (ROXB.) MIQ. ROOTS. | 2010 | 10 |
| 10 | 2023 | 9 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2017 | 5 | |
| 16 | Anti-inflammatory activity of Aponogeton natans (Linn.) Engl. and Krause in different experimental animal models | 2013 | 2 |
| 17 | 2023 | 2 | |
| 18 | 2015 | 2 | |
| 19 | Pharmacognostical and phytochemical investigation ofButea frondosa Linn. bark | 2012 | 1 |
| 20 | 2023 | 1 |
About Sujit Kumar Dash
Sujit Kumar Dash is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 30 papers that have together received 386 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (6 papers), AI in cancer detection (5 papers), Natural Antidiabetic Agents Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Ethnobotanical and Medicinal Plants Studies (3 papers), Image and Signal Denoising Methods (3 papers), Neural Networks and Applications (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (20 citations), Health Information Management (18 citations), Artificial Intelligence (130 citations), Electrical and Electronic Engineering (140 citations) and Environmental Engineering (34 citations). Sujit Kumar Dash has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Srikanta Patnaik, Sashikanta Prusty, P.K. Dash, Ranjeeta Bisoi, Jyotirmayee Naik, Sumanta Mondal, Sukumar Mishra, Gouri Kumar Dash, A.C. Liew and Laxmidhar Maharana. Their work appears in journals such as PeerJ Computer Science, Engineering Applications of Artificial Intelligence, Journal of Modern Power Systems and Clean Energy, Neural Computing and Applications and Renewable Energy.
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.