Soumyabrata Dev
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 2%
- Solar Radiation and Photovoltaics
Papers in
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- Solar Radiation and Photovoltaics 21
- Semantic Web and Ontologies 13
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- Hydrological Forecasting Using AI 14
- Air Quality Monitoring and Forecasting 14
- Co-authors
- Yee Hui Lee (31 shared papers)Stefan Winkler (15 shared papers)Deepu John (3 shared papers)Nhien‐An Le‐Khac (1 shared paper)Mahmoud Said Elsayed (1 shared paper)Mayank Jain (19 shared papers)Anca Delia Jurcut (1 shared paper)Florian M. Savoy (8 shared papers)
In The Last Decade
Soumyabrata Dev
120 papers receiving 1.8k citations
Soumyabrata Dev's Hit Papers
Peers
Comparison fields: 5 of 136
- Health Information Management 157
- Artificial Intelligence 744
- Media Technology 189
- Neurology 124
- Environmental Engineering 211
Countries citing papers authored by Soumyabrata Dev
This map shows the geographic impact of Soumyabrata Dev'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 Soumyabrata Dev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumyabrata Dev more than expected).
Fields of papers citing papers by Soumyabrata Dev
This network shows the impact of papers produced by Soumyabrata Dev. 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 Soumyabrata Dev. The network helps show where Soumyabrata Dev may publish in the future.
Co-authors
The 25 scholars most cited alongside Soumyabrata Dev, 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 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 180 | |
| 2 | A predictive analytics approach for stroke prediction using machine learning and neural networks Hit paper breakdown → | 2022 | 144 |
| 3 | 2020 | 104 | |
| 4 | 2022 | 103 | |
| 5 | 2022 | 94 | |
| 6 | 2019 | 89 | |
| 7 | 2022 | 85 | |
| 8 | 1989 | 68 | |
| 9 | 2023 | 67 | |
| 10 | 2014 | 47 | |
| 11 | 2016 | 45 | |
| 12 | 2021 | 43 | |
| 13 | 2015 | 42 | |
| 14 | 2019 | 38 | |
| 15 | 2014 | 34 | |
| 16 | 2024 | 32 | |
| 17 | 2020 | 30 | |
| 18 | 2021 | 24 | |
| 19 | 2015 | 23 | |
| 20 | 2022 | 21 |
About Soumyabrata Dev
Soumyabrata Dev is a scholar working on Artificial Intelligence, Environmental Engineering, Computer Vision and Pattern Recognition, Global and Planetary Change and Electrical and Electronic Engineering, having authored 145 papers that have together received 1.9k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (21 papers), Hydrological Forecasting Using AI (14 papers), Air Quality Monitoring and Forecasting (14 papers), Semantic Web and Ontologies (13 papers), Energy Load and Power Forecasting (13 papers), Meteorological Phenomena and Simulations (10 papers), Air Quality and Health Impacts (10 papers) and Remote Sensing in Agriculture (10 papers). The work is most often cited by research in Health Information Management (157 citations), Artificial Intelligence (744 citations), Media Technology (189 citations), Neurology (124 citations) and Environmental Engineering (211 citations). Soumyabrata Dev has collaborated with scholars based in Ireland, Singapore and China. Frequent co-authors include Yee Hui Lee, Stefan Winkler, Deepu John, Nhien‐An Le‐Khac, Mahmoud Said Elsayed, Mayank Jain, Anca Delia Jurcut, Florian M. Savoy, Muhammad Salman Pathan and Avishek Nag. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Access, Remote Sensing Applications Society and Environment, IEEE Geoscience and Remote Sensing Letters and Atmospheric measurement techniques.
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.