Rohit S. Patwardhan

1.4k total citations
36 papers, 1.1k citations indexed

About

Rohit S. Patwardhan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Rohit S. Patwardhan has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Control and Systems Engineering, 5 papers in Mechanical Engineering and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Rohit S. Patwardhan's work include Fault Detection and Control Systems (32 papers), Advanced Control Systems Optimization (25 papers) and Control Systems and Identification (21 papers). Rohit S. Patwardhan is often cited by papers focused on Fault Detection and Control Systems (32 papers), Advanced Control Systems Optimization (25 papers) and Control Systems and Identification (21 papers). Rohit S. Patwardhan collaborates with scholars based in Canada, Saudi Arabia and United States. Rohit S. Patwardhan's co-authors include Sirish L. Shah, R. Bhushan Gopaluni, Michael G. Forbes, Sachin C. Patwardhan, Ravindra D. Gudi, S. Lakshminarayanan, Tongwen Chen, Arun K. Tangirala, David Li and Yucai Zhu and has published in prestigious journals such as Automatica, Industrial & Engineering Chemistry Research and AIChE Journal.

In The Last Decade

Rohit S. Patwardhan

36 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohit S. Patwardhan Canada 17 958 121 71 65 58 36 1.1k
Lingjian Ye China 20 867 0.9× 288 2.4× 58 0.8× 69 1.1× 260 4.5× 103 1.2k
Sylvain Verron France 13 650 0.7× 306 2.5× 34 0.5× 173 2.7× 116 2.0× 37 809
Daniel Jung Sweden 13 439 0.5× 85 0.7× 107 1.5× 76 1.2× 130 2.2× 58 603
Ashish Singhal India 15 643 0.7× 323 2.7× 78 1.1× 75 1.2× 141 2.4× 51 930
Nizar Chatti France 8 374 0.4× 145 1.2× 32 0.5× 66 1.0× 65 1.1× 18 460
Shunsuke Chigusa United States 12 441 0.5× 95 0.8× 50 0.7× 53 0.8× 74 1.3× 22 574
Zhenyu Wang China 13 290 0.3× 71 0.6× 111 1.6× 29 0.4× 46 0.8× 76 538
Kihoon Choi United States 10 266 0.3× 53 0.4× 66 0.9× 35 0.5× 66 1.1× 22 404
Xu Yang China 16 535 0.6× 280 2.3× 71 1.0× 53 0.8× 80 1.4× 70 664
Ramesh Kadali Canada 10 526 0.5× 86 0.7× 28 0.4× 58 0.9× 50 0.9× 22 587

Countries citing papers authored by Rohit S. Patwardhan

Since Specialization
Citations

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

Fields of papers citing papers by Rohit S. Patwardhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit S. Patwardhan

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit S. Patwardhan. A scholar is included among the top collaborators of Rohit S. Patwardhan 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 Rohit S. Patwardhan. Rohit S. Patwardhan 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.
Al‐Dhaifallah, Mujahed, et al.. (2024). Identification of Crude Distillation Unit: A Comparison between Neural Network and Koopman Operator. Algorithms. 17(8). 368–368. 2 indexed citations
2.
Patwardhan, Rohit S., et al.. (2024). Machine learning & conventional approaches to process control & optimization: Industrial applications & perspectives. Computers & Chemical Engineering. 189. 108789–108789. 11 indexed citations
3.
Allemang, Randall J., et al.. (2021). Frequency response function estimation techniques and the corresponding coherence functions: A review and update. Mechanical Systems and Signal Processing. 162. 108100–108100. 21 indexed citations
4.
Patwardhan, Rohit S., et al.. (2019). Applications of Advanced Analytics at Saudi Aramco: A Practitioners’ Perspective. Industrial & Engineering Chemistry Research. 58(26). 11338–11351. 14 indexed citations
5.
Forbes, Michael G., et al.. (2015). Model Predictive Control in Industry: Challenges and Opportunities. IFAC-PapersOnLine. 48(8). 531–538. 201 indexed citations
6.
Zhao, Jun, Yucai Zhu, & Rohit S. Patwardhan. (2014). Some notes on MPC relevant identification. 3680–3685. 5 indexed citations
7.
Zhao, Jun, Yucai Zhu, & Rohit S. Patwardhan. (2013). Identification of k-step-ahead prediction error model and MPC control. Journal of Process Control. 24(1). 48–56. 13 indexed citations
8.
Zhu, Yucai, et al.. (2012). Toward a low cost and high performance MPC: The role of system identification. Computers & Chemical Engineering. 51. 124–135. 35 indexed citations
9.
Shah, Sirish L., et al.. (2011). Model analysis and performance analysis of two industrial MPCs. Control Engineering Practice. 20(3). 219–235. 16 indexed citations
10.
Patwardhan, Rohit S., et al.. (2010). Quantifying the impact of model-plant mismatch on controller performance. Journal of Process Control. 20(4). 408–425. 76 indexed citations
11.
Shah, Sirish L., et al.. (2008). Performance Assessment and Model Validation of Two Industrial MPC Controllers. IFAC Proceedings Volumes. 41(2). 8387–8394. 5 indexed citations
12.
Imtiaz, Syed, et al.. (2007). Detection, Diagnosis and Root Cause Analysis of Sheet‐Break in a Pulp and Paper Mill with Economic Impact Analysis. The Canadian Journal of Chemical Engineering. 85(4). 512–525. 7 indexed citations
13.
Gopaluni, R. Bhushan, et al.. (2006). Identification of delay dominant recycle systems. Journal of Process Control. 16(9). 903–912. 1 indexed citations
14.
Koka, Kanthaiah, et al.. (2005). Computer simulation and tank experimental verification of concentric ring electrodes. PubMed. 3. 2243–2246. 9 indexed citations
15.
Gopaluni, R. Bhushan, Rohit S. Patwardhan, & Sirish L. Shah. (2003). MPC relevant identification––tuning the noise model. Journal of Process Control. 14(6). 699–714. 48 indexed citations
16.
Gopaluni, R. Bhushan, Rohit S. Patwardhan, & Sirish L. Shah. (2003). The nature of data pre-filters in MPC relevant identification—open- and closed-loop issues. Automatica. 39(9). 1617–1626. 22 indexed citations
17.
Gopaluni, R. Bhushan, Rohit S. Patwardhan, & Sirish L. Shah. (2002). BIAS DISTRIBUTION IN MPC RELEVANT IDENTIFICATION. IFAC Proceedings Volumes. 35(1). 435–440. 19 indexed citations
18.
Patwardhan, Rohit S. & Sirish L. Shah. (2002). Issues in performance diagnostics of model-based controllers. Journal of Process Control. 12(3). 413–427. 81 indexed citations
19.
Tangirala, Arun K., David Li, Rohit S. Patwardhan, Sirish L. Shah, & Tongwen Chen. (2001). Ripple-free conditions for lifted multirate control systems. Automatica. 37(10). 1637–1645. 48 indexed citations
20.
Patwardhan, Rohit S.. (1999). Studies in synthesis and analysis of model predictive controllers. University of Alberta Library. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lingjian Ye Breakdown of academic impact, for papers by Sylvain Verron Breakdown of academic impact, for papers by Daniel Jung Breakdown of academic impact, for papers by Ashish Singhal Breakdown of academic impact, for papers by Nizar Chatti Breakdown of academic impact, for papers by Shunsuke Chigusa Breakdown of academic impact, for papers by Zhenyu Wang Breakdown of academic impact, for papers by Kihoon Choi Breakdown of academic impact, for papers by Xu Yang Breakdown of academic impact, for papers by Ramesh Kadali
Rankless by CCL
2026