Sujit S. Pardeshi

31 papers receiving 361 citations

Peers

Sujit S. Pardeshi
Comparison fields: 5 of 76
  • Industrial and Manufacturing Engineering 65
  • Mechanical Engineering 187
  • Control and Systems Engineering 70
  • Automotive Engineering 34
  • Renewable Energy, Sustainability and the Environment 39
Replace Peter Frankovský with:
Peter Frankovský Slovakia
Mustafa Ayyıldız Türkiye
Payam Shams Ghahfarokhi Estonia
Mohammad Shakeel Laghari United Arab Emirates
Rongyi Li China
Tanweer Hussain Pakistan
Roman Mykhailyshyn Ukraine
Mehmet Recep Mınaz Türkiye
Sujit S. Pardeshi relative to Peter Frankovský Slovakia Peter Frankovský's profile →
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Citations per year

Countries citing papers authored by Sujit S. Pardeshi

Since Specialization
Citations

This map shows the geographic impact of Sujit S. Pardeshi'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. Pardeshi 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. Pardeshi more than expected).

Fields of papers citing papers by Sujit S. Pardeshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Sujit S. Pardeshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sujit S. Pardeshi Line = papers co-authored together Sujit S. Pardeshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202348
2 202345
3 202332
4 202230
5 202125
6 202119
7 202218
8 202118
9 202116
10 202115
11 202313
12 202211
13 201410
14 20229
15 20218
16 20248
17 20156
18 20226
19 20176
20 20245

About Sujit S. Pardeshi

Sujit S. Pardeshi is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Civil and Structural Engineering and Biomedical Engineering, having authored 35 papers that have together received 376 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (13 papers), Piezoelectric Actuators and Control (9 papers), Advanced Machining and Optimization Techniques (8 papers), Topology Optimization in Engineering (4 papers), Manufacturing Process and Optimization (3 papers), Advanced Surface Polishing Techniques (3 papers), Iterative Learning Control Systems (3 papers) and Adsorption and Cooling Systems (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (65 citations), Mechanical Engineering (187 citations), Control and Systems Engineering (70 citations), Automotive Engineering (34 citations) and Renewable Energy, Sustainability and the Environment (39 citations). Sujit S. Pardeshi has collaborated with scholars based in India, Türkiye and Saudi Arabia. Frequent co-authors include Abhishek D. Patange, R. Jegadeeshwaran, Rüstem Binali, Dinesh Kumar Madheswaran, T. Mohanraj, A. Tamilvanan, Wiesław Ostachowicz, Mustafa Kuntoğlu, Emad Abouel Nasr and Róbert Čep. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Eksploatacja i Niezawodnosc - Maintenance and Reliability, Intelligent Systems with Applications, Sustainability and International Journal of Prognostics and Health Management.

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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