Vivek Parmar

53 total papers · 1.8k total citations
36 papers, 434 citations indexed

About

Vivek Parmar is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vivek Parmar has authored 36 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vivek Parmar's work include Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (23 papers) and Machine Learning and ELM (7 papers). Vivek Parmar is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (23 papers) and Machine Learning and ELM (7 papers). Vivek Parmar collaborates with scholars based in India, France and Taiwan. Vivek Parmar's co-authors include Manan Suri, Sandeep Kaur Kingra, Tuo‐Hung Hou, Boris Hudec, Che‐Chia Chang, Earl E. Swartzlander, Fabien Alibart, Shubham Sahay, Damien Querlioz and Alessandro Bricalli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

Vivek Parmar

33 papers receiving 426 citations

Author Peers

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

Author						Papers	Cites
Vivek Parmar	249	66	42	42	36	36	434
Nakamura	156 0.6×	25 0.4×	24 0.6×	79 1.9×	9 0.3×	49	430
Tatsuya Suzuki	68 0.3×	28 0.4×	7 0.2×	45 1.1×	32 0.9×	42	381
Ramtin Zand	401 1.6×	90 1.4×	11 0.3×	67 1.6×	23 0.6×	53	485
Qilin Zheng	310 1.2×	92 1.4×	36 0.9×	28 0.7×	46 1.3×	41	416
Zhehong Wang	194 0.8×	40 0.6×	11 0.3×	32 0.8×	61 1.7×	31	407
Narayanan Krishnamurthy	245 1.0×	54 0.8×	15 0.4×	198 4.7×	18 0.5×	34	473
Zia Abbas	269 1.1×	18 0.3×	9 0.2×	45 1.1×	11 0.3×	64	369
Motonobu Hattori	104 0.4×	251 3.8×	24 0.6×	9 0.2×	56 1.6×	52	420
Tommaso Zanotti	364 1.5×	42 0.6×	127 3.0×	54 1.3×	27 0.8×	32	406
Roberto Guerrieri	226 0.9×	33 0.5×	71 1.7×	52 1.2×	10 0.3×	24	410

Countries citing papers authored by Vivek Parmar

Since Specialization

Citations

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

Fields of papers citing papers by Vivek Parmar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Parmar

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