Rakesh Kumar
- Building and Construction top 2%
- Environmental Engineering top 5%
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- Geothermal Energy Systems and Applications 8
- Mechanical Engineering top 10%
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- Artificial Intelligence in Healthcare 9
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- Quality and Supply Management 9
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- AI in cancer detection 8
- Sentiment Analysis and Opinion Mining 5
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- Spam and Phishing Detection 6
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- Digital Imaging for Blood Diseases 5
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- COVID-19 diagnosis using AI 5
Rakesh Kumar
111 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 152
- Building and Construction 352
- Environmental Engineering 308
- Renewable Energy, Sustainability and the Environment 242
- Health, Toxicology and Mutagenesis 148
- Mechanical Engineering 289
Countries citing papers authored by Rakesh Kumar
This map shows the geographic impact of Rakesh Kumar'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 Rakesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Kumar more than expected).
Fields of papers citing papers by Rakesh Kumar
This network shows the impact of papers produced by Rakesh Kumar. 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 Rakesh Kumar. The network helps show where Rakesh Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rakesh Kumar, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 27 | |
| 15 | 2022 | 1 | |
| 16 | Advance Solar Power LED Street Lighting With Auto Intensity Control | 2020 | 0 |
| 17 | 2019 | 23 | |
| 18 | Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization. | 2019 | 2 |
| 19 | 2017 | 3 | |
| 20 | Effort Assessment and Predictions for High Volume Web-based Applications: a Pragmatic Approach. | 2006 | 1 |
About Rakesh Kumar
Rakesh Kumar is a scholar working on Health Information Management, Management Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Building and Construction, having authored 129 papers that have together received 1.4k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Quality and Supply Management (9 papers), AI in cancer detection (8 papers), Geothermal Energy Systems and Applications (8 papers), Spam and Phishing Detection (6 papers), Digital Imaging for Blood Diseases (5 papers), COVID-19 diagnosis using AI (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Building and Construction (352 citations), Environmental Engineering (308 citations), Renewable Energy, Sustainability and the Environment (242 citations), Health, Toxicology and Mutagenesis (148 citations) and Mechanical Engineering (289 citations). Rakesh Kumar has collaborated with scholars based in India, Iraq and United States. Frequent co-authors include S.C. Kaushik, Meenu Gupta, Jasgurpreet Singh Chohan, Manoj Kumar, Santosh Kumar, Alan S. Fung, Shashwat Garg, Vikas Kumar, Pravin Kumar and Raj Singh. Their work appears in journals such as IEEE Access, Renewable Energy, Building and Environment, International Journal of Energy Research and International Journal of Productivity and Quality Management.
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.