Pritesh Shah

2.6k total citations · 1 hit paper
90 papers, 1.7k citations indexed

About

Pritesh Shah is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Pritesh Shah has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 21 papers in Electrical and Electronic Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Pritesh Shah's work include Advanced Control Systems Design (17 papers), Digital Transformation in Industry (9 papers) and Advanced machining processes and optimization (7 papers). Pritesh Shah is often cited by papers focused on Advanced Control Systems Design (17 papers), Digital Transformation in Industry (9 papers) and Advanced machining processes and optimization (7 papers). Pritesh Shah collaborates with scholars based in India, Iraq and United States. Pritesh Shah's co-authors include Sudhir Agashe, Ravi Sekhar, Firdaus E. Udwadia, George R. Gavalas, John H. Seinfeld, T.P. Singh, Dharmendra Sharma, Roydon Fraser, Satyam Panchal and Michael Fowler and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Access.

In The Last Decade

Pritesh Shah

77 papers receiving 1.6k citations

Hit Papers

Review of fractional PID controller 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pritesh Shah India 19 844 417 318 199 170 90 1.7k
Rosdiazli Ibrahim Malaysia 22 808 1.0× 490 1.2× 284 0.9× 77 0.4× 113 0.7× 186 1.6k
Guo Xie China 23 1.4k 1.6× 313 0.8× 479 1.5× 325 1.6× 73 0.4× 157 2.5k
Yupu Yang China 22 754 0.9× 261 0.6× 307 1.0× 54 0.3× 49 0.3× 97 1.9k
Ahmad Bagheri Iran 21 662 0.8× 169 0.4× 286 0.9× 143 0.7× 122 0.7× 66 1.4k
Valder Steffen Brazil 26 724 0.9× 90 0.2× 716 2.3× 862 4.3× 66 0.4× 160 2.2k
Ademir Nied Brazil 26 360 0.4× 972 2.3× 203 0.6× 118 0.6× 39 0.2× 86 1.6k
Eduardo Camponogara Brazil 24 1.7k 2.0× 507 1.2× 280 0.9× 35 0.2× 565 3.3× 160 2.9k
Cédric Join France 27 2.2k 2.6× 470 1.1× 330 1.0× 125 0.6× 49 0.3× 103 2.9k
Yuehua Huang China 26 998 1.2× 1.1k 2.6× 135 0.4× 79 0.4× 74 0.4× 89 2.4k
Samson S. Yu Australia 26 893 1.1× 1.5k 3.6× 116 0.4× 54 0.3× 38 0.2× 166 2.2k

Countries citing papers authored by Pritesh Shah

Since Specialization
Citations

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

Fields of papers citing papers by Pritesh Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritesh Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Pritesh Shah. A scholar is included among the top collaborators of Pritesh Shah 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 Pritesh Shah. Pritesh Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Desai, Mihir, et al.. (2025). Derivatives in Financial Market Development. International Journal For Multidisciplinary Research. 7(4).
3.
Sekhar, Ravi, Sharnil Pandya, Pritesh Shah, et al.. (2024). Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance. Results in Control and Optimization. 17. 100491–100491. 1 indexed citations
4.
Ahmed, Saadaldeen Rashid, et al.. (2024). Real-Time Image Denoising Using Deep Learning for Cybersecurity Applications. 328–334.
5.
Sekhar, Ravi, et al.. (2024). Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing. SHILAP Revista de lepidopterología. 6(1). 111–126. 3 indexed citations
6.
Ahmed, Saadaldeen Rashid, et al.. (2024). Adaptive Intrusion Detection System Using Deep Learning for Network Security. 279–284. 1 indexed citations
7.
Niu, Yitong, et al.. (2024). Experimental Research in Frequency and Time Domain for Electromechanical System with Distributed Parameters in Mechanical Part. Mathematical Modelling and Engineering Problems. 11(4). 1107–1114.
8.
Shah, Pritesh, et al.. (2023). Fractional order control: A bibliometric analysis (2000–2022). Results in Control and Optimization. 14. 100366–100366. 6 indexed citations
9.
Jagatheesan, K., et al.. (2023). Fractional order P I λ D μ controller for microgrid power system using cohort intelligence optimization. Results in Control and Optimization. 11. 100218–100218. 20 indexed citations
10.
Shah, Pritesh, et al.. (2023). Design of an Optimal Fractional Complex Order PID Controller for Buck Converter. Journal of Robotics and Control (JRC). 4(3). 243–262. 7 indexed citations
11.
Sekhar, Ravi, et al.. (2023). Lean Manufacturing Soft Sensors for Automotive Industries. Applied System Innovation. 6(1). 22–22. 17 indexed citations
12.
Sharkawy, Abdel‐Nasser, et al.. (2023). A Comprehensive Pattern Recognition Neural Network for Collision Classification Using Force Sensor Signals. Robotics. 12(5). 124–124. 2 indexed citations
13.
Jagatheesan, K., et al.. (2023). Optimization of Load Frequency Control Gain Parameters for Stochastic Microgrid Power System. Journal of Robotics and Control (JRC). 4(5). 726–742.
14.
Shah, Pritesh, et al.. (2023). Sustainable electronic document security: a comprehensive framework integrating encryption, digital signature and watermarking algorithms. SHILAP Revista de lepidopterología. 5(2). 391–404. 5 indexed citations
15.
Shah, Pritesh, et al.. (2021). Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry. Global Journal of Flexible Systems Management. 23(1). 89–112. 30 indexed citations
16.
Shah, Pritesh, et al.. (2021). Fractional Order Control of Power Electronic Converters in Industrial Drives and Renewable Energy Systems: A Review. IEEE Access. 9. 58982–59009. 65 indexed citations
17.
Shah, Pritesh, et al.. (2021). Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm. Applied System Innovation. 4(3). 50–50. 31 indexed citations
18.
Sekhar, Ravi & Pritesh Shah. (2020). Predictive Modeling of a Flexible Robotic Arm using Cohort Intelligence Socio-Inspired Optimization. 193–198. 7 indexed citations
19.
Shah, Pritesh, et al.. (2015). Methods for closed loop system identification in industry. Journal of chemical and pharmaceutical research. 7(1). 4 indexed citations
20.
Seinfeld, John H., Pritesh Shah, & George R. Gavalas. (1977). The structure of history matching problems. IEEE Transactions on Automatic Control. 14(14). 118–123. 1 indexed citations

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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