Rajesh Kavasseri
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Economics and Econometrics top 5%
- Co-authors
- Lingling FanZhixin MiaoChanxia ZhuR. NagarajanRadhakrishnan NagarajanSudarshan K. SrinivasanSukumar BrahmaNilanjan Ray Chaudhuri
- Topics
- Power System Optimization and Stability (28 papers)Power Systems Fault Detection (21 papers)Microgrid Control and Optimization (17 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Rajesh Kavasseri
79 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Electrical and Electronic Engineering 2.3k
- Control and Systems Engineering 1.3k
- Artificial Intelligence 512
- Aerospace Engineering 298
- Economics and Econometrics 257
Countries citing papers authored by Rajesh Kavasseri
This map shows the geographic impact of Rajesh Kavasseri'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 Rajesh Kavasseri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Kavasseri more than expected).
Fields of papers citing papers by Rajesh Kavasseri
This network shows the impact of papers produced by Rajesh Kavasseri. 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 Rajesh Kavasseri. The network helps show where Rajesh Kavasseri may publish in the future.
Co-authorship network of co-authors of Rajesh Kavasseri
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Kavasseri. A scholar is included among the top collaborators of Rajesh Kavasseri 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 Rajesh Kavasseri. Rajesh Kavasseri 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 | 12 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 29 | |
| 10 | 54 | |
| 11 | 3 | |
| 12 | 74 | |
| 13 | 9 | |
| 14 | 16 | |
| 15 | Day-ahead wind speed forecasting using f-ARIMA modelsbreakdown → | 774 |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 92 | |
| 19 | 32 | |
| 20 | 26 |
About Rajesh Kavasseri
Rajesh Kavasseri is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality, having authored 83 papers that have together received 2.9k indexed citations. Recurring topics across this work include Power System Optimization and Stability (28 papers), Power Systems Fault Detection (21 papers) and Microgrid Control and Optimization (17 papers). The work is most often cited by research in Energy Engineering and Power Technology (191 citations), Control and Systems Engineering (1.3k citations) and Electrical and Electronic Engineering (2.3k citations). Rajesh Kavasseri has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Lingling Fan, Zhixin Miao, Chanxia Zhu, R. Nagarajan, Radhakrishnan Nagarajan, Sudarshan K. Srinivasan, Sukumar Brahma, Nilanjan Ray Chaudhuri, Bei Gou and Cristinel Ababei. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Systems and Renewable Energy.
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.