V.K. Agrawal

65 total papers · 631 total citations
42 papers, 448 citations indexed

About

V.K. Agrawal is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, V.K. Agrawal has authored 42 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 10 papers in Computational Theory and Mathematics and 9 papers in Artificial Intelligence. Recurrent topics in V.K. Agrawal's work include Quantum-Dot Cellular Automata (7 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Information and Cryptography (5 papers). V.K. Agrawal is often cited by papers focused on Quantum-Dot Cellular Automata (7 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Information and Cryptography (5 papers). V.K. Agrawal collaborates with scholars based in India, United States and Australia. V.K. Agrawal's co-authors include Santanu Sarma, L.M. Patnaik, H. S. Jamadagni, Himanshu Thapliyal, Hamid R. Arabnia, K. Parameswaran, J. K. Kishore, S.K. Soonee, Mini S. Thomas and Akash Saxena and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Pattern Recognition and IEEE Transactions on Software Engineering.

In The Last Decade

V.K. Agrawal

41 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
V.K. Agrawal	219	155	105	100	100	42	448
T. Ravichandran	73 0.3×	147 0.9×	43 0.4×	50 0.5×	50 0.5×	50	430
R.E. Seviora	109 0.5×	130 0.8×	14 0.1×	88 0.9×	122 1.2×	48	432
V.P. Nelson	140 0.6×	193 1.2×	21 0.2×	48 0.5×	55 0.6×	35	411
Jiaqi Yan	330 1.5×	121 0.8×	55 0.5×	82 0.8×	117 1.2×	48	545
Mauricio Papa	320 1.5×	57 0.4×	28 0.3×	160 1.6×	190 1.9×	46	547
Anjan Kumar Ray	158 0.7×	70 0.5×	12 0.1×	73 0.7×	81 0.8×	53	414
Shanker Shreejith	217 1.0×	189 1.2×	16 0.2×	47 0.5×	65 0.7×	38	449
C.P. Kwong	95 0.4×	136 0.9×	17 0.2×	55 0.6×	144 1.4×	45	419
Ali Mahani	157 0.7×	227 1.5×	18 0.2×	13 0.1×	128 1.3×	67	422
H.A. Thompson	95 0.4×	59 0.4×	21 0.2×	12 0.1×	53 0.5×	58	544

Countries citing papers authored by V.K. Agrawal

Since Specialization

Citations

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

Fields of papers citing papers by V.K. Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.K. Agrawal. 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 V.K. Agrawal. The network helps show where V.K. Agrawal may publish in the future.

Co-authorship network of co-authors of V.K. Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of V.K. Agrawal. A scholar is included among the top collaborators of V.K. Agrawal 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 V.K. Agrawal. V.K. Agrawal 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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