Pramode K. Verma

171 total papers · 787 total citations
85 papers, 504 citations indexed

About

Pramode K. Verma is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Pramode K. Verma has authored 85 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 25 papers in Artificial Intelligence and 22 papers in Computer Networks and Communications. Recurrent topics in Pramode K. Verma's work include Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (19 papers) and Quantum Mechanics and Applications (15 papers). Pramode K. Verma is often cited by papers focused on Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (19 papers) and Quantum Mechanics and Applications (15 papers). Pramode K. Verma collaborates with scholars based in United States, China and Germany. Pramode K. Verma's co-authors include Samuel Cheng, Subhash Kak, Yuhua Chen, Kam Wai Clifford Chan, Stamatios V. Kartalopoulos, Bei Li, James J. Sluss, Bhushan Trivedi, Di Jin and Anjan Ghosh and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Pramode K. Verma

79 papers receiving 468 citations

Author Peers

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

Author						Papers	Cites
Pramode K. Verma	196	164	108	107	89	85	504
Zhichao Zhou	199 1.0×	150 0.9×	63 0.6×	46 0.4×	89 1.0×	38	545
Wen Jiang	189 1.0×	135 0.8×	70 0.6×	36 0.3×	59 0.7×	44	571
Wei Pan	190 1.0×	157 1.0×	118 1.1×	120 1.1×	66 0.7×	49	515
Xiao Li	97 0.5×	224 1.4×	40 0.4×	92 0.9×	55 0.6×	67	595
Jian Wang	69 0.4×	357 2.2×	67 0.6×	44 0.4×	43 0.5×	64	545
Kefeng Fan	110 0.6×	134 0.8×	46 0.4×	68 0.6×	56 0.6×	67	480
Mehmet Keskinöz	212 1.1×	113 0.7×	178 1.6×	96 0.9×	21 0.2×	41	463
Zhan Shi	175 0.9×	54 0.3×	59 0.5×	41 0.4×	39 0.4×	67	467
Rong Cheng	73 0.4×	181 1.1×	53 0.5×	32 0.3×	109 1.2×	85	560
Kaijun Wu	172 0.9×	90 0.5×	136 1.3×	49 0.5×	14 0.2×	63	455

Countries citing papers authored by Pramode K. Verma

Since Specialization

Citations

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

Fields of papers citing papers by Pramode K. Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramode K. Verma

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