Rammohan Mallipeddi
- Artificial Intelligence top 0.2%
- Computational Theory and Mathematics top 0.05%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Ponnuthurai Nagaratnam SuganthanQuan-Ke PanGuohua WuM. Fatih TasgetirenPartha Pratim BiswasSwagatam DasG.A.J. AmaratungaAbhishek Kumar
- Topics
- Metaheuristic Optimization Algorithms Research (62 papers)Advanced Multi-Objective Optimization Algorithms (60 papers)Evolutionary Algorithms and Applications (50 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsApplied Energy
- Partner nations
- South KoreaIndiaSingapore
In The Last Decade
Rammohan Mallipeddi
156 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 3.9k
- Computational Theory and Mathematics 3.0k
- Electrical and Electronic Engineering 1.4k
- Control and Systems Engineering 866
- Computer Vision and Pattern Recognition 443
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 of co-authors of Rammohan Mallipeddi
This figure shows the co-authorship network connecting the top 25 collaborators of Rammohan Mallipeddi. A scholar is included among the top collaborators of Rammohan Mallipeddi 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 Rammohan Mallipeddi. Rammohan Mallipeddi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | 15 | |
| 20 | 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) and Evolutionary Algorithms and Applications (50 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied 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.