Ashwani Kumar
- Electrical and Electronic Engineering top 2%
- Plant Science top 2%
- Molecular Biology
- Control and Systems Engineering top 2%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- S. N. SinghS.C. SrivastavaLalit Mohan SainiS. K. AggarwalJitendra KumarChao XingCharu LataYajvender Pal Verma
- Topics
- Optimal Power Flow Distribution (60 papers)Electric Power System Optimization (39 papers)Power System Optimization and Stability (36 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Ashwani Kumar
220 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Electrical and Electronic Engineering 1.8k
- Plant Science 898
- Molecular Biology 523
- Control and Systems Engineering 434
- Safety, Risk, Reliability and Quality 222
Countries citing papers authored by Ashwani Kumar
This map shows the geographic impact of Ashwani 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 Ashwani Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwani Kumar more than expected).
Fields of papers citing papers by Ashwani Kumar
This network shows the impact of papers produced by Ashwani 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 Ashwani Kumar. The network helps show where Ashwani Kumar may publish in the future.
Co-authorship network of co-authors of Ashwani Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwani Kumar. A scholar is included among the top collaborators of Ashwani Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashwani Kumar. Ashwani Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 13 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 19 | |
| 20 | Leguminosae (Fabaceae) in Tribal Medicines | 12 |
About Ashwani Kumar
Ashwani Kumar is a scholar working on Safety, Risk, Reliability and Quality, Plant Science and Soil Science, having authored 241 papers that have together received 3.5k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (60 papers), Electric Power System Optimization (39 papers) and Power System Optimization and Stability (36 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.8k citations), Safety, Risk, Reliability and Quality (222 citations) and Plant Science (898 citations). Ashwani Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include S. N. Singh, S.C. Srivastava, Lalit Mohan Saini, S. K. Aggarwal, Jitendra Kumar, Chao Xing, Charu Lata, Yajvender Pal Verma, Arvind Kumar and M. A. Revilla. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.