Jai Bhagwan

73 total papers · 1.4k total citations
52 papers, 1.1k citations indexed

About

Jai Bhagwan is a scholar working on Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Jai Bhagwan has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electronic, Optical and Magnetic Materials, 28 papers in Electrical and Electronic Engineering and 20 papers in Polymers and Plastics. Recurrent topics in Jai Bhagwan's work include Supercapacitor Materials and Fabrication (36 papers), Conducting polymers and applications (18 papers) and Advancements in Battery Materials (16 papers). Jai Bhagwan is often cited by papers focused on Supercapacitor Materials and Fabrication (36 papers), Conducting polymers and applications (18 papers) and Advancements in Battery Materials (16 papers). Jai Bhagwan collaborates with scholars based in South Korea, India and United States. Jai Bhagwan's co-authors include Jae Su Yu, K. L. Yadav, Yogesh Sharma, Sk. Khaja Hussain, Jeong In Han, B. N. Vamsi Krishna, Bhimanaboina Ramulu, Goli Nagaraju, Asit Sahoo and S. Chandra Sekhar and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Jai Bhagwan

49 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jai Bhagwan 793 751 229 184 183 52 1.1k
Jianhua Yang 318 0.4× 1.1k 1.5× 59 0.3× 274 1.5× 89 0.5× 47 1.4k
Biao He 412 0.5× 569 0.8× 45 0.2× 354 1.9× 172 0.9× 52 1.2k
M. Rafat 610 0.8× 668 0.9× 276 1.2× 166 0.9× 79 0.4× 54 1.0k
SangGap Lee 379 0.5× 473 0.6× 101 0.4× 184 1.0× 68 0.4× 45 995
Adrian Beda 369 0.5× 669 0.9× 34 0.1× 124 0.7× 27 0.1× 40 1.1k
Shengli Zhang 427 0.5× 914 1.2× 168 0.7× 635 3.5× 122 0.7× 45 1.1k
D.C. DeGroot 260 0.3× 739 1.0× 605 2.6× 448 2.4× 42 0.2× 46 1.3k
Kamakhya Prakash Misra 258 0.3× 505 0.7× 83 0.4× 805 4.4× 121 0.7× 67 1.0k
Juanyu Yang 321 0.4× 731 1.0× 37 0.2× 249 1.4× 38 0.2× 70 950
Zhiwei Li 926 1.2× 220 0.3× 56 0.2× 678 3.7× 92 0.5× 86 1.3k

Countries citing papers authored by Jai Bhagwan

Since Specialization
Citations

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

Fields of papers citing papers by Jai Bhagwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jai Bhagwan

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