Rahul Bindlish

404 total citations
25 papers, 291 citations indexed

About

Rahul Bindlish is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Rahul Bindlish has authored 25 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 3 papers in Computational Theory and Mathematics and 3 papers in Biomedical Engineering. Recurrent topics in Rahul Bindlish's work include Advanced Control Systems Optimization (25 papers), Fault Detection and Control Systems (16 papers) and Control Systems and Identification (10 papers). Rahul Bindlish is often cited by papers focused on Advanced Control Systems Optimization (25 papers), Fault Detection and Control Systems (16 papers) and Control Systems and Identification (10 papers). Rahul Bindlish collaborates with scholars based in United States, Canada and Japan. Rahul Bindlish's co-authors include James B. Rawlings, Yuhe Tian, Efstratios N. Pistikopoulos, Leo H. Chiang, Iván Castillo, Michael Bâldea, Robert E. Young, Siyun Wang, Kaiwen Ma and Nikolaos V. Sahinidis and has published in prestigious journals such as Industrial & Engineering Chemistry Research, AIChE Journal and Systems & Control Letters.

In The Last Decade

Rahul Bindlish

24 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rahul Bindlish United States	12	232	33	23	20	17	25	291
Tiago F. Finkler Germany	6	336 1.4×	20 0.6×	15 0.7×	19 0.9×	13 0.8×	11	376
Antônio Carlos Zanin Brazil	9	456 2.0×	49 1.5×	17 0.7×	17 0.8×	17 1.0×	16	490
V. Bansal United Kingdom	8	421 1.8×	25 0.8×	21 0.9×	13 0.7×	40 2.4×	13	463
Vassilis Sakizlis United Kingdom	9	474 2.0×	23 0.7×	16 0.7×	27 1.4×	38 2.2×	17	517
T. Larsson Norway	9	408 1.8×	71 2.2×	24 1.0×	15 0.8×	14 0.8×	15	457
Mohammed S. Alhajeri United States	9	250 1.1×	36 1.1×	17 0.7×	41 2.0×	4 0.2×	12	331
Mustafa R. Kılınç United States	7	106 0.5×	18 0.5×	14 0.6×	29 1.4×	49 2.9×	8	212
Panagiotis Petsagkourakis United Kingdom	8	206 0.9×	23 0.7×	48 2.1×	15 0.8×	42 2.5×	19	341
Kelvin T. Erickson United States	5	301 1.3×	42 1.3×	29 1.3×	13 0.7×	13 0.8×	12	348
Pradeep B. Deshpande United States	13	335 1.4×	48 1.5×	54 2.3×	40 2.0×	11 0.6×	44	458

Countries citing papers authored by Rahul Bindlish

Since Specialization

Citations

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

Fields of papers citing papers by Rahul Bindlish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Bindlish

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

All Works

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20 of 20 papers shown

Bindlish, Rahul, Michael Bâldea, Iiro Harjunkoski, & Víctor M. Zavala. (2023). Trends and perspectives in computed-aided process operations and control. Computers & Chemical Engineering. 182. 108575–108575.

Pappas, Iosif, et al.. (2023). Optimal Operation of an Industrial Dividing Wall Column through Multiparametric Programming. Industrial & Engineering Chemistry Research. 62(37). 15029–15035. 1 indexed citations

Tian, Yuhe, et al.. (2022). A Process Intensification synthesis framework for the design of dividing wall column systems. Computers & Chemical Engineering. 160. 107679–107679. 12 indexed citations

Ma, Kaiwen, et al.. (2022). Data-driven strategies for optimization of integrated chemical plants. Computers & Chemical Engineering. 166. 107961–107961. 14 indexed citations

Ma, Kaiwen, et al.. (2022). Data-driven strategies for extractive distillation unit optimization. Computers & Chemical Engineering. 167. 107970–107970. 25 indexed citations

Pistikopoulos, Efstratios N., Yuhe Tian, & Rahul Bindlish. (2021). Operability and control in process intensification and modular design: Challenges and opportunities. AIChE Journal. 67(5). 44 indexed citations

Ma, Yan, Zhenyu Wang, Iván Castillo, et al.. (2021). Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model. Civil War Book Review. 2581–2586. 5 indexed citations

Bindlish, Rahul. (2020). Nonlinear model predictive control of an industrial process with steady-state gain inversion. Computers & Chemical Engineering. 135. 106739–106739. 5 indexed citations

Xu, Xiaodong, et al.. (2020). Data‐driven plant‐model mismatch estimation for dynamic matrix control systems. International Journal of Robust and Nonlinear Control. 30(17). 7103–7129. 14 indexed citations

10.

Xu, Xiaodong, et al.. (2020). Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path. 2760–2765. 4 indexed citations

11.

Wang, Siyun, et al.. (2018). Plant–Model Mismatch Estimation from Closed-Loop Data for State-Space Model Predictive Control. Industrial & Engineering Chemistry Research. 57(10). 3732–3741. 13 indexed citations

12.

Wang, Siyun, et al.. (2017). Plant-model mismatch estimation in unconstrained state-space MPC. 3078–3083. 4 indexed citations

13.

Wang, Siyun, et al.. (2017). Plant-model mismatch evaluation for unconstrained MPC with state estimation. 19. 6177–6182. 4 indexed citations

14.

Wang, Siyun, et al.. (2017). Autocovariance-based plant-model mismatch estimation for linear model predictive control. Systems & Control Letters. 104. 5–14. 16 indexed citations

15.

Wang, Siyun, et al.. (2016). Data-Driven Plant-Model Mismatch Quantification in Input-Constrained Linear MPC. IFAC-PapersOnLine. 49(7). 25–30. 3 indexed citations

16.

Bindlish, Rahul. (2014). Nonlinear model predictive control of an industrial polymerization process. Computers & Chemical Engineering. 73. 43–48. 22 indexed citations

17.

Li, Keyu, et al.. (2010). Passivity-based adaptive inventory control. Journal of Process Control. 20(10). 1126–1132. 9 indexed citations

18.

Bindlish, Rahul. (2003). Model order selection for process identification applied to an industrial ethylene furnace. Journal of Process Control. 13(6). 569–577. 5 indexed citations

19.

Bindlish, Rahul & James B. Rawlings. (2003). Target linearization and model predictive control of polymerization processes. AIChE Journal. 49(11). 2885–2899. 19 indexed citations

20.

Rawlings, James B., et al.. (2002). Feasible Real-time Nonlinear Model Predictive Control. 16 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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