Prabhakar Kudva

87 total papers · 2.8k total citations
71 papers, 1.9k citations indexed

About

Prabhakar Kudva is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Prabhakar Kudva has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hardware and Architecture, 32 papers in Electrical and Electronic Engineering and 17 papers in Control and Systems Engineering. Recurrent topics in Prabhakar Kudva's work include Low-power high-performance VLSI design (22 papers), VLSI and Analog Circuit Testing (19 papers) and Radiation Effects in Electronics (14 papers). Prabhakar Kudva is often cited by papers focused on Low-power high-performance VLSI design (22 papers), VLSI and Analog Circuit Testing (19 papers) and Radiation Effects in Electronics (14 papers). Prabhakar Kudva collaborates with scholars based in United States, Canada and United Arab Emirates. Prabhakar Kudva's co-authors include Kumpati S. Narendra, A. Ramakrishna, N. Viswanadham, Hans Jacobson, Pradip Bose, S.E. Schuster, Peter W. Cook, John-David Wellman, Manoj Gupta and David Brooks and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Access and Sustainability.

In The Last Decade

Prabhakar Kudva

68 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Prabhakar Kudva 759 724 720 491 207 71 1.9k
B.W. Johnson 743 1.0× 677 0.9× 216 0.3× 429 0.9× 184 0.9× 91 1.7k
David Powell 565 0.7× 592 0.8× 159 0.2× 921 1.9× 267 1.3× 71 1.7k
Xiaodong Zhang 288 0.4× 326 0.5× 1.3k 1.8× 1.1k 2.2× 271 1.3× 100 2.4k
Bin Li 772 1.0× 344 0.5× 450 0.6× 830 1.7× 143 0.7× 116 2.1k
Marcian Cirstea 1.2k 1.6× 304 0.4× 936 1.3× 142 0.3× 197 1.0× 82 1.9k
Xiaowei Jiang 317 0.4× 594 0.8× 596 0.8× 1.2k 2.5× 189 0.9× 111 1.9k
Pierluigi Nuzzo 1.1k 1.4× 424 0.6× 284 0.4× 222 0.5× 316 1.5× 106 1.9k
Mihalis Psarakis 1.0k 1.4× 946 1.3× 249 0.3× 426 0.9× 162 0.8× 79 1.6k
David L. Mills 550 0.7× 506 0.7× 155 0.2× 2.1k 4.3× 176 0.9× 66 2.6k
Suhaib A. Fahmy 914 1.2× 1.0k 1.4× 120 0.2× 955 1.9× 260 1.3× 128 2.0k

Countries citing papers authored by Prabhakar Kudva

Since Specialization
Citations

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

Fields of papers citing papers by Prabhakar Kudva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhakar Kudva

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

All Works

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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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