Sujit S. Jogwar

62 total papers · 563 total citations
38 papers, 458 citations indexed

About

Sujit S. Jogwar is a scholar working on Control and Systems Engineering, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Sujit S. Jogwar has authored 38 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Control and Systems Engineering, 15 papers in Molecular Biology and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Sujit S. Jogwar's work include Advanced Control Systems Optimization (27 papers), Process Optimization and Integration (26 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). Sujit S. Jogwar is often cited by papers focused on Advanced Control Systems Optimization (27 papers), Process Optimization and Integration (26 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). Sujit S. Jogwar collaborates with scholars based in India and United States. Sujit S. Jogwar's co-authors include Pródromos Daoutidis, Michael Bâldea, Ali Almansoori, Wentao Tang, Srinivas Rangarajan, Seongmin Heo, Ana I. Torres, Channamallikarjun S. Mathpati and Davood Babaei Pourkargar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Chemical Engineering Science.

In The Last Decade

Sujit S. Jogwar

33 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Sujit S. Jogwar 340 89 78 57 54 38 458
Davood Babaei Pourkargar 338 1.0× 71 0.8× 37 0.5× 47 0.8× 25 0.5× 46 480
Tomio Umeda 334 1.0× 27 0.3× 24 0.3× 79 1.4× 18 0.3× 28 434
Xigang Yuan 254 0.7× 32 0.4× 30 0.4× 102 1.8× 32 0.6× 37 465
Mariusz Markowski 262 0.8× 26 0.3× 33 0.4× 165 2.9× 17 0.3× 37 477
Masaru Noda 215 0.6× 24 0.3× 56 0.7× 141 2.5× 80 1.5× 58 516
Arnab Dutta 102 0.3× 35 0.4× 45 0.6× 210 3.7× 96 1.8× 45 547
Yi Ren 127 0.4× 8 0.1× 82 1.1× 96 1.7× 48 0.9× 28 447
T. Hertzberg 232 0.7× 41 0.5× 10 0.1× 110 1.9× 81 1.5× 32 544
Yu Yang 192 0.6× 46 0.5× 124 1.6× 22 0.4× 51 0.9× 61 463
Chenglin Chang 350 1.0× 55 0.6× 24 0.3× 116 2.0× 21 0.4× 34 421

Countries citing papers authored by Sujit S. Jogwar

Since Specialization
Citations

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

Fields of papers citing papers by Sujit S. Jogwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujit S. Jogwar. 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 Sujit S. Jogwar. The network helps show where Sujit S. Jogwar may publish in the future.

Co-authorship network of co-authors of Sujit S. Jogwar

This figure shows the co-authorship network connecting the top 25 collaborators of Sujit S. Jogwar. A scholar is included among the top collaborators of Sujit S. Jogwar 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 Sujit S. Jogwar. Sujit S. Jogwar 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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