Harish Mudila

86 total papers · 1.4k total citations
49 papers, 950 citations indexed

About

Harish Mudila is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Harish Mudila has authored 49 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Polymers and Plastics, 20 papers in Electrical and Electronic Engineering and 15 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Harish Mudila's work include Conducting polymers and applications (28 papers), Supercapacitor Materials and Fabrication (11 papers) and Analytical Chemistry and Sensors (9 papers). Harish Mudila is often cited by papers focused on Conducting polymers and applications (28 papers), Supercapacitor Materials and Fabrication (11 papers) and Analytical Chemistry and Sensors (9 papers). Harish Mudila collaborates with scholars based in India, Chile and Brunei. Harish Mudila's co-authors include Parteek Prasher, M.G.H. Zaidi, Anil Kumar, Shweta Rana, Manjeet Singh, Amit Verma, Pankaj Bhatt, Mousmee Sharma, Mukesh Kumar and Kamlendra Awasthi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Analytical Biochemistry.

In The Last Decade

Harish Mudila

48 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Harish Mudila 314 287 277 276 268 49 950
Serkan Naci Koç 160 0.5× 328 1.1× 422 1.5× 292 1.1× 210 0.8× 50 929
Tuğrul Yumak 226 0.7× 401 1.4× 430 1.6× 211 0.8× 478 1.8× 29 1.2k
Jincheng Wang 156 0.5× 188 0.7× 203 0.7× 230 0.8× 175 0.7× 35 1.1k
Juanjuan Xu 169 0.5× 261 0.9× 408 1.5× 403 1.5× 188 0.7× 32 1.1k
Mohammad Luqman 234 0.7× 322 1.1× 196 0.7× 375 1.4× 157 0.6× 64 1.0k
Mohammad Mizanur Rahman Khan 341 1.1× 241 0.8× 228 0.8× 178 0.6× 206 0.8× 59 894
CH. V. V. Ramana 378 1.2× 255 0.9× 477 1.7× 255 0.9× 115 0.4× 48 1.0k
Trung‐Dung Dang 227 0.7× 427 1.5× 367 1.3× 368 1.3× 122 0.5× 68 1.1k
Mathias Strauss 150 0.5× 353 1.2× 205 0.7× 360 1.3× 99 0.4× 46 981
Vũ Quốc Trung 415 1.3× 222 0.8× 211 0.8× 313 1.1× 96 0.4× 91 1.1k

Countries citing papers authored by Harish Mudila

Since Specialization
Citations

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

Fields of papers citing papers by Harish Mudila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Mudila

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