Matthew Varghese

447 total citations
20 papers, 344 citations indexed

About

Matthew Varghese is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Matthew Varghese has authored 20 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Matthew Varghese's work include Power System Optimization and Stability (6 papers), Optimal Power Flow Distribution (4 papers) and Power System Reliability and Maintenance (3 papers). Matthew Varghese is often cited by papers focused on Power System Optimization and Stability (6 papers), Optimal Power Flow Distribution (4 papers) and Power System Reliability and Maintenance (3 papers). Matthew Varghese collaborates with scholars based in United States, United Kingdom and Australia. Matthew Varghese's co-authors include Noah Kawika Weisberg, Elizabeth Elder, Thomas J. Merimee, Laurence Kennedy, Thomas D Mehl, James S. Thorp, Seth R. Sanders, Milorad Papic, Felix F. Wu and Pravin Varaiya and has published in prestigious journals such as Physical Review Letters, Diabetes and IEEE Transactions on Power Systems.

In The Last Decade

Matthew Varghese

20 papers receiving 322 citations

Peers

Matthew Varghese
Comparison fields: 5 of 90
  • Electrical and Electronic Engineering 152
  • Control and Systems Engineering 84
  • Safety, Risk, Reliability and Quality 62
  • Statistical and Nonlinear Physics 48
  • Molecular Biology 37
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Citations per field, relative to Matthew Varghese
Matthew Varghese · 1×
Citations per year, relative to Matthew Varghese
Matthew Varghese · 1×

Countries citing papers authored by Matthew Varghese

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Varghese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Varghese

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Varghese. A scholar is included among the top collaborators of Matthew Varghese 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 Matthew Varghese. Matthew Varghese 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 9
2 24
3 70
4 12
5 13
6 4
7 2
8 5
9 30
10 6
11 28
12 19
13 25
14 26
15 2
16 2
17 14
18 3
19 1
20 49

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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