Venkatesh Choppella

96 total papers · 696 total citations
51 papers, 399 citations indexed

About

Venkatesh Choppella is a scholar working on Artificial Intelligence, Information Systems and Media Technology. According to data from OpenAlex, Venkatesh Choppella has authored 51 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Information Systems and 12 papers in Media Technology. Recurrent topics in Venkatesh Choppella's work include Experimental Learning in Engineering (12 papers), Distributed and Parallel Computing Systems (6 papers) and Formal Methods in Verification (5 papers). Venkatesh Choppella is often cited by papers focused on Experimental Learning in Engineering (12 papers), Distributed and Parallel Computing Systems (6 papers) and Formal Methods in Verification (5 papers). Venkatesh Choppella collaborates with scholars based in India, United States and Canada. Venkatesh Choppella's co-authors include Sandhya Krishnan, Gerald Baumgartner, Sriram Krishnamoorthy, Chi‐Chung Lam, P. Sadayappan, J. Ramanujam, A. G. Sibiryakov, Daniel Cociorva, Xiaoyang Gao and David E. Bernholdt and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Molecular Physics.

In The Last Decade

Venkatesh Choppella

44 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Venkatesh Choppella	159	151	87	71	64	51	399
Changwan Hong	239 1.5×	156 1.0×	39 0.4×	145 2.0×	23 0.4×	26	421
Xin Liu	106 0.7×	159 1.1×	83 1.0×	88 1.2×	24 0.4×	41	360
Chi‐Chung Lam	242 1.5×	171 1.1×	15 0.2×	47 0.7×	79 1.2×	17	343
Jiaquan Gao	58 0.4×	79 0.5×	19 0.2×	107 1.5×	66 1.0×	47	360
Ahmad Abdelfattah	238 1.5×	162 1.1×	37 0.4×	73 1.0×	73 1.1×	48	431
F. H. Sumner	113 0.7×	149 1.0×	29 0.3×	67 0.9×	31 0.5×	21	392
Riyadh Baghdadi	231 1.5×	121 0.8×	72 0.8×	145 2.0×	4 0.1×	21	422
Yongfeng Gu	189 1.2×	112 0.7×	67 0.8×	110 1.5×	15 0.2×	30	417
Paul A. Gray	91 0.6×	136 0.9×	45 0.5×	18 0.3×	24 0.4×	32	332
Padma Raghavan	148 0.9×	195 1.3×	41 0.5×	31 0.4×	19 0.3×	24	337

Countries citing papers authored by Venkatesh Choppella

Since Specialization

Citations

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

Fields of papers citing papers by Venkatesh Choppella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkatesh Choppella

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