Shivam Kumar
Impact in
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- Hybrid Renewable Energy Systems
- Control and Systems Engineering top 10%
- Microgrid Control and Optimization
Papers in ⓘ
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- Metallurgical Processes and Thermodynamics 2
- Co-authors
- Shang-Chen Wu (3 shared papers)B. Bhattacharyya (1 shared paper)Bishwajit Dey (1 shared paper)T.Y. Kam (2 shared papers)Khadga Raj (1 shared paper)Shamsher Singh (1 shared paper)Ranjan Patra (1 shared paper)Monalisa Mukherjee (1 shared paper)
In The Last Decade
Shivam Kumar
31 papers receiving 377 citations
Peers
Comparison fields: 5 of 110
- Energy Engineering and Power Technology 38
- Control and Systems Engineering 98
- Electrical and Electronic Engineering 178
- Automotive Engineering 30
- Metals and Alloys 6
Countries citing papers authored by Shivam Kumar
This map shows the geographic impact of Shivam 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 Shivam Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivam Kumar more than expected).
Fields of papers citing papers by Shivam Kumar
This network shows the impact of papers produced by Shivam 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 Shivam Kumar. The network helps show where Shivam Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shivam 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2019 | 52 | |
| 3 | 2020 | 35 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 17 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2024 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 8 | |
| 15 | 2016 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Shivam Kumar
Shivam Kumar is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Information Systems, Artificial Intelligence and Biomedical Engineering, having authored 38 papers that have together received 399 indexed citations. Recurring topics across this work include High-Temperature Coating Behaviors (2 papers), Corrosion Behavior and Inhibition (2 papers), Phytochemistry and Biological Activities (2 papers), Energy and Environment Impacts (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Solar Radiation and Photovoltaics (2 papers), Metallurgical Processes and Thermodynamics (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (38 citations), Control and Systems Engineering (98 citations), Electrical and Electronic Engineering (178 citations), Automotive Engineering (30 citations) and Metals and Alloys (6 citations). Shivam Kumar has collaborated with scholars based in India, Taiwan and Australia. Frequent co-authors include Shang-Chen Wu, B. Bhattacharyya, Bishwajit Dey, T.Y. Kam, Khadga Raj, Shamsher Singh, Ranjan Patra, Monalisa Mukherjee, Arun Kumar Sharma and Amarjot Kaur. Their work appears in journals such as Energies, Energy Conversion and Management, Neurochemical Research, International Journal of Metalcasting and Soft Computing.
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.