M.V.C. Rao

1.9k total citations · 1 hit paper
58 papers, 1.4k citations indexed

About

M.V.C. Rao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M.V.C. Rao has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Control and Systems Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in M.V.C. Rao's work include Metaheuristic Optimization Algorithms Research (11 papers), Fuzzy Logic and Control Systems (6 papers) and Advanced Control Systems Optimization (6 papers). M.V.C. Rao is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Fuzzy Logic and Control Systems (6 papers) and Advanced Control Systems Optimization (6 papers). M.V.C. Rao collaborates with scholars based in Malaysia, India and United States. M.V.C. Rao's co-authors include M. Senthil Arumugam, Chu Kiong Loo, T. O. Ting, P. Subbaraj, S. Baskar, Alan W.C. Tan, Ramaswamy Palaniappan, S. Tamilselvi, Chee Peng Lim and Shing Chiang Tan and has published in prestigious journals such as Carbon, Automatica and IEEE Transactions on Power Systems.

In The Last Decade

M.V.C. Rao

55 papers receiving 1.3k citations

Hit Papers

A Novel Approach for Unit Commitment Problem via an Effec... 2006 2026 2012 2019 2006 100 200 300

Peers

M.V.C. Rao
Comparison fields: 5 of 115
  • Electrical and Electronic Engineering 650
  • Artificial Intelligence 469
  • Control and Systems Engineering 321
  • Computational Theory and Mathematics 189
  • Safety, Risk, Reliability and Quality 127
Replace Y. del Valle with:
Y. del Valle United States
K. Kawata Japan
Keiichiro Yasuda Japan
Christopher R. Houck United States
Malihe M. Farsangi Iran
M. R. AlRashidi Kuwait
Devender Singh India
Yongli Zhu China
Ahmed Ali Abdalla Esmin Brazil
Tong Han China
Y. del Valle United States View profile →
Citations per field, relative to M.V.C. Rao
M.V.C. Rao · 1×
Citations per year, relative to M.V.C. Rao
M.V.C. Rao · 1×

Countries citing papers authored by M.V.C. Rao

Since Specialization
Citations

This map shows the geographic impact of M.V.C. Rao'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 M.V.C. Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.V.C. Rao more than expected).

Fields of papers citing papers by M.V.C. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.V.C. Rao. 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 M.V.C. Rao. The network helps show where M.V.C. Rao may publish in the future.

Co-authorship network of co-authors of M.V.C. Rao

This figure shows the co-authorship network connecting the top 25 collaborators of M.V.C. Rao. A scholar is included among the top collaborators of M.V.C. Rao 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 M.V.C. Rao. M.V.C. Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 7
3 1
4 8
5 4
6 156
7 55
8 9
9 4
10 41
11 2
12 11
13 41
14 0
15 6
16 6
17 7
18 7
19 2
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026