Vijay D. Chavan

47 total papers · 891 total citations
37 papers, 664 citations indexed

About

Vijay D. Chavan is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Vijay D. Chavan has authored 37 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 10 papers in Electronic, Optical and Magnetic Materials and 10 papers in Materials Chemistry. Recurrent topics in Vijay D. Chavan's work include Advanced Memory and Neural Computing (9 papers), Supercapacitor Materials and Fabrication (9 papers) and Semiconductor materials and devices (7 papers). Vijay D. Chavan is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Supercapacitor Materials and Fabrication (9 papers) and Semiconductor materials and devices (7 papers). Vijay D. Chavan collaborates with scholars based in South Korea, India and Germany. Vijay D. Chavan's co-authors include Deok‐kee Kim, Tukaram D. Dongale, Prashant Patil, Zulfqar Ali Sheikh, Honggyun Kim, Pranav K. Katkar, Supriya A. Patil, S.R. Shingte, Ghulam Dastgeer and Sobia Nisar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Nano Energy.

In The Last Decade

Vijay D. Chavan

35 papers receiving 657 citations

Author Peers

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

Author						Papers	Cites
Vijay D. Chavan	356	295	188	177	91	37	664
Xiaohui Su	444 1.2×	251 0.9×	326 1.7×	164 0.9×	90 1.0×	32	711
V. S. Kuts	304 0.9×	323 1.1×	195 1.0×	289 1.6×	84 0.9×	31	685
Haryeong Choi	258 0.7×	346 1.2×	156 0.8×	188 1.1×	97 1.1×	43	789
Ke Xu	373 1.0×	261 0.9×	244 1.3×	121 0.7×	58 0.6×	34	641
M.S.P. Sudhakaran	472 1.3×	220 0.7×	312 1.7×	144 0.8×	105 1.2×	26	756
Jeseung Yoo	299 0.8×	254 0.9×	236 1.3×	165 0.9×	89 1.0×	22	681
M. Mylarappa	292 0.8×	322 1.1×	129 0.7×	133 0.8×	167 1.8×	55	630
Yuting Sun	296 0.8×	185 0.6×	122 0.6×	78 0.4×	80 0.9×	50	616
Tauseef Anwar	391 1.1×	361 1.2×	159 0.8×	189 1.1×	53 0.6×	36	715
Yanhong Ding	194 0.5×	269 0.9×	253 1.3×	99 0.6×	54 0.6×	35	649

Countries citing papers authored by Vijay D. Chavan

Since Specialization

Citations

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

Fields of papers citing papers by Vijay D. Chavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay D. Chavan. 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 Vijay D. Chavan. The network helps show where Vijay D. Chavan may publish in the future.

Co-authorship network of co-authors of Vijay D. Chavan

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay D. Chavan. A scholar is included among the top collaborators of Vijay D. Chavan 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 Vijay D. Chavan. Vijay D. Chavan 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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