Soumyabrata Dev

129 papers receiving 1.9k citations

Soumyabrata Dev's Hit Papers

A predictive analytics approach for stroke prediction using machine learning and neural networks 2022 · 153 citations
1530+1+2Years since publication50100150

Peers

Soumyabrata Dev
Comparison fields: 5 of 138
  • Health Information Management 170
  • Artificial Intelligence 782
  • Media Technology 199
  • Neurology 131
  • Environmental Engineering 218
Replace Doaa Sami Khafaga with:
Doaa Sami Khafaga Saudi Arabia
Mahmoud Y. Shams Egypt
Sultan Noman Qasem Saudi Arabia
A. K. Malik India
Farid García‐Lamont Mexico
Michał Grochowski Poland
Akansha Singh India
Deepak Gupta India
Mehdi Neshat Australia
Rupesh Gupta India
Soumyabrata Dev relative to Doaa Sami Khafaga Saudi Arabia Doaa Sami Khafaga's profile →
Citations per field
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Doaa Sami Khafaga · 1×
Citations per year

Countries citing papers authored by Soumyabrata Dev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Soumyabrata Dev Line = papers co-authored together Soumyabrata Dev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020193
2
A predictive analytics approach for stroke prediction using machine learning and neural networks
Hit paper breakdown →
2022153
3 2020109
4 2022108
5
Analyzing the impact of feature selection on the accuracy of heart disease prediction
Hit paper breakdown →
2022100
6 201990
7 202290
8 202369
9 198969
10 201449
11 201649
12 201543
13 202143
14 201939
15 201435
16 202433
17 202032
18 201524
19 202124
20 202223

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 154 papers that have together received 2.0k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (21 papers), Hydrological Forecasting Using AI (15 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 (12 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 (170 citations), Artificial Intelligence (782 citations), Media Technology (199 citations), Neurology (131 citations) and Environmental Engineering (218 citations). Soumyabrata Dev has collaborated with scholars based in Ireland, China and Singapore. Frequent co-authors include Yee Hui Lee, Stefan Winkler, Deepu John, Mayank Jain, Mahmoud Said Elsayed, Anca Delia Jurcut, Nhien‐An Le‐Khac, Muhammad Salman Pathan, Florian M. Savoy 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.

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