Rammohan Mallipeddi
- Computational Theory and Mathematics top 0.05%
- Advanced Multi-Objective Optimization Algorithms 60
- Artificial Intelligence top 0.2%
- Metaheuristic Optimization Algorithms Research 62
- Evolutionary Algorithms and Applications 50
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- Microgrid Control and Optimization 11
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- Optimal Power Flow Distribution 14
- Electric Power System Optimization 11
- Smart Grid Energy Management 11
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- Greenhouse Technology and Climate Control 9
- Co-authors
- Ponnuthurai Nagaratnam SuganthanQuan-Ke PanGuohua WuM. Fatih TasgetirenPartha Pratim BiswasSwagatam DasG.A.J. AmaratungaAbhishek Kumar
- Partner nations
- South KoreaIndiaSingapore
In The Last Decade
Rammohan Mallipeddi
156 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computational Theory and Mathematics 3.0k
- Artificial Intelligence 3.9k
- Control and Systems Engineering 866
- Industrial and Manufacturing Engineering 355
- Energy Engineering and Power Technology 82
Countries citing papers authored by Rammohan Mallipeddi
This map shows the geographic impact of Rammohan Mallipeddi'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 Rammohan Mallipeddi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rammohan Mallipeddi more than expected).
Fields of papers citing papers by Rammohan Mallipeddi
This network shows the impact of papers produced by Rammohan Mallipeddi. 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 Rammohan Mallipeddi. The network helps show where Rammohan Mallipeddi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rammohan Mallipeddi, 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 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 19 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 13 | |
| 19 | 2019 | 15 | |
| 20 | 2019 | 63 |
About Rammohan Mallipeddi
Rammohan Mallipeddi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Human-Computer Interaction, having authored 168 papers that have together received 6.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (62 papers), Advanced Multi-Objective Optimization Algorithms (60 papers), Evolutionary Algorithms and Applications (50 papers), Optimal Power Flow Distribution (14 papers), Microgrid Control and Optimization (11 papers), Electric Power System Optimization (11 papers), Smart Grid Energy Management (11 papers) and Greenhouse Technology and Climate Control (9 papers). The work is most often cited by research in Computational Theory and Mathematics (3.0k citations), Artificial Intelligence (3.9k citations) and Control and Systems Engineering (866 citations). Rammohan Mallipeddi has collaborated with scholars based in South Korea, India and Singapore. Frequent co-authors include Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Guohua Wu, M. Fatih Tasgetiren, Partha Pratim Biswas, Swagatam Das, G.A.J. Amaratunga, Abhishek Kumar, Mostafa Z. Ali and Minho Lee.
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.