Girish Parmar

110 total papers · 1.2k total citations
65 papers, 801 citations indexed

About

Girish Parmar is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Girish Parmar has authored 65 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 26 papers in Electrical and Electronic Engineering and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Girish Parmar's work include Model Reduction and Neural Networks (15 papers), Advanced Control Systems Design (13 papers) and Frequency Control in Power Systems (10 papers). Girish Parmar is often cited by papers focused on Model Reduction and Neural Networks (15 papers), Advanced Control Systems Design (13 papers) and Frequency Control in Power Systems (10 papers). Girish Parmar collaborates with scholars based in India. Girish Parmar's co-authors include Rajendra Prasad, S. Mukherjee, Rajeev Gupta, Afzal Sikander, Manish Gupta, Supriya Mukherjee, Mukesh Saraswat, Mithilesh Kumar, Vishal Kumar and Sidhartha Panda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Mathematical Modelling and Microsystem Technologies.

In The Last Decade

Girish Parmar

63 papers receiving 749 citations

Author Peers

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

Author Last Decade Papers Cites
Girish Parmar 429 300 216 143 104 65 801
A.S. Hodel 372 0.9× 93 0.3× 194 0.9× 49 0.3× 83 0.8× 56 819
Wei‐Yong Yan 540 1.3× 242 0.8× 72 0.3× 37 0.3× 86 0.8× 55 1.0k
Wiesław Marszałek 401 0.9× 316 1.1× 181 0.8× 41 0.3× 63 0.6× 83 964
Maâmar Bettayeb 290 0.7× 405 1.4× 129 0.6× 118 0.8× 54 0.5× 60 908
F.W. Fairman 650 1.5× 179 0.6× 84 0.4× 31 0.2× 144 1.4× 78 994
Da‐Wei Gu 461 1.1× 205 0.7× 65 0.3× 233 1.6× 39 0.4× 63 933
Liang Hua 417 1.0× 44 0.1× 257 1.2× 52 0.4× 142 1.4× 122 887
P. Julián 318 0.7× 125 0.4× 381 1.8× 82 0.6× 212 2.0× 96 1.0k
Danchi Jiang 521 1.2× 86 0.3× 199 0.9× 141 1.0× 305 2.9× 47 952
Amr M. AbdelAty 365 0.9× 189 0.6× 294 1.4× 96 0.7× 206 2.0× 45 859

Countries citing papers authored by Girish Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Girish Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girish Parmar

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