Sai Munikoti

713 citations
24 papers · 430 · h-index 8

Impact in

Papers in

Sai Munikoti

22 papers receiving 422 citations

Peers

Sai Munikoti
Comparison fields: 5 of 72
  • Control and Systems Engineering 166
  • Safety, Risk, Reliability and Quality 44
  • Civil and Structural Engineering 87
  • Statistical and Nonlinear Physics 43
  • Energy Engineering and Power Technology 9
Replace Amarachi Umunnakwe with:
Amarachi Umunnakwe United States
James Z. Hare United States
Shikhar Pandey United States
Mariam Ibrahim Jordan
Efthymios Karangelos Belgium
Leon Thurner Germany
Phillip M. Ashton United Kingdom
Steffen Meinecke Germany
Sai Munikoti relative to Amarachi Umunnakwe United States Amarachi Umunnakwe's profile →
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 21 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 202383
3 201952
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8 202213
9 20244
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11 20243
12 20213
13 20223
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15 20202
16 20251
17 20211
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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 Statistical and Nonlinear Physics, having authored 24 papers that have together received 430 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), Power System Optimization and Stability (4 papers), Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (3 papers), Green IT and Sustainability (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Control and Systems Engineering (166 citations), Safety, Risk, Reliability and Quality (44 citations), Civil and Structural Engineering (87 citations), Statistical and Nonlinear Physics (43 citations) and Energy Engineering and Power Technology (9 citations). Sai Munikoti has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Balasubramaniam Natarajan, Laya Das, Babji Srinivasan, Deepesh Agarwal, Kexing Lai, Mahantesh Halappanavar, Kumarsinh Jhala, Mohammad Abujubbeh, Ian Stewart and Anurag Acharya. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics, Neurocomputing, Reliability Engineering & System Safety and International Journal of Electrical Power & Energy Systems.

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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