Arvind Sridhar

49 total papers · 1.1k total citations
36 papers, 846 citations indexed

About

Arvind Sridhar is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Arvind Sridhar has authored 36 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 22 papers in Mechanical Engineering and 6 papers in Computational Mechanics. Recurrent topics in Arvind Sridhar's work include Heat Transfer and Optimization (22 papers), 3D IC and TSV technologies (13 papers) and Silicon Carbide Semiconductor Technologies (12 papers). Arvind Sridhar is often cited by papers focused on Heat Transfer and Optimization (22 papers), 3D IC and TSV technologies (13 papers) and Silicon Carbide Semiconductor Technologies (12 papers). Arvind Sridhar collaborates with scholars based in Switzerland, United States and Canada. Arvind Sridhar's co-authors include David Atienza, Thomas Brunschwiler, Alessandro Vincenzi, Martino Ruggiero, Mohamed M. Sabry, José L. Ayala, David Cuesta, Bruno Michel, Mohamed M. Sabry and Chin Lee Ong and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Electromagnetic Compatibility.

In The Last Decade

Arvind Sridhar

36 papers receiving 825 citations

Author Peers

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

Author Last Decade Papers Cites
Arvind Sridhar 679 288 219 134 68 36 846
Alan J. Weger 784 1.2× 104 0.4× 364 1.7× 105 0.8× 93 1.4× 58 962
Zahava Koren 596 0.9× 150 0.5× 272 1.2× 191 1.4× 37 0.5× 72 928
Vishal Gupta 489 0.7× 205 0.7× 165 0.8× 214 1.6× 56 0.8× 61 960
Jie Wei 545 0.8× 68 0.2× 106 0.5× 187 1.4× 28 0.4× 42 706
Chang Chen 685 1.0× 46 0.2× 192 0.9× 278 2.1× 67 1.0× 56 1.0k
J. Q. Xu 732 1.1× 68 0.2× 221 1.0× 300 2.2× 52 0.8× 42 971
J. Bhasker 273 0.4× 80 0.3× 244 1.1× 68 0.5× 89 1.3× 37 713
Daeyeon Kim 904 1.3× 135 0.5× 156 0.7× 112 0.8× 42 0.6× 54 1.1k
Y. Nagata 438 0.6× 127 0.4× 40 0.2× 182 1.4× 119 1.8× 42 933
Fabrice Paillet 833 1.2× 86 0.3× 99 0.5× 48 0.4× 62 0.9× 21 1.0k

Countries citing papers authored by Arvind Sridhar

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Sridhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Sridhar

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Sridhar. A scholar is included among the top collaborators of Arvind Sridhar 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 Arvind Sridhar. Arvind Sridhar 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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