Sai Munikoti

676 citations
23 papers · 400 · h-index 8

Impact in

Papers in

Sai Munikoti

21 papers receiving 388 citations

Peers

Sai Munikoti
Comparison fields: 5 of 71
  • Control and Systems Engineering 164
  • Safety, Risk, Reliability and Quality 42
  • Civil and Structural Engineering 84
  • Statistical and Nonlinear Physics 42
  • Electrical and Electronic Engineering 149
Replace Amarachi Umunnakwe with:
Amarachi Umunnakwe United States
James Z. Hare United States
Shikhar Pandey United States
Mariam Ibrahim Jordan
Yuxuan Yuan United States
Boda Li China
Efthymios Karangelos Belgium
Phillip M. Ashton United Kingdom
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Citations per field
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Countries citing papers authored by Sai Munikoti

Since Specialization
Citations

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

Fields of papers citing papers by Sai Munikoti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai Munikoti. 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 Sai Munikoti. The network helps show where Sai Munikoti may publish in the future.

Co-authors

The 19 scholars most cited alongside Sai Munikoti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sai Munikoti Line = papers co-authored together Sai Munikoti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020119
2 202368
3 201952
4 202042
5 202133
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8 202212
9 20244
10 20244
11 20213
12 20223
13 20242
14 20222
15 20241
16 20211
17 20251
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19 20201
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About Sai Munikoti

Sai Munikoti is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 23 papers that have together received 400 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (6 papers), Power System Reliability and Maintenance (5 papers), Infrastructure Resilience and Vulnerability Analysis (4 papers), Advanced Graph Neural Networks (3 papers), Power System Optimization and Stability (3 papers), Complex Network Analysis Techniques (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Power Systems and Technologies (2 papers). The work is most often cited by research in Control and Systems Engineering (164 citations), Safety, Risk, Reliability and Quality (42 citations), Civil and Structural Engineering (84 citations), Statistical and Nonlinear Physics (42 citations) and Electrical and Electronic Engineering (149 citations). Sai Munikoti has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Balasubramaniam Natarajan, Laya Das, Babji Srinivasan, Kexing Lai, Deepesh Agarwal, Mahantesh Halappanavar, Kumarsinh Jhala, Mohammad Abujubbeh, Ian Stewart and Anil Pahwa. Their work appears in journals such as IEEE Transactions on Power Systems, Renewable and Sustainable Energy Reviews, Reliability Engineering & System Safety, International Journal of Electrical Power & Energy Systems and Journal of Parallel and Distributed Computing.

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.

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