T. K. Radhakrishnan

3.4k total citations · 1 hit paper
128 papers, 2.6k citations indexed

About

T. K. Radhakrishnan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, T. K. Radhakrishnan has authored 128 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Control and Systems Engineering, 18 papers in Artificial Intelligence and 15 papers in Biomedical Engineering. Recurrent topics in T. K. Radhakrishnan's work include Advanced Control Systems Optimization (65 papers), Advanced Control Systems Design (37 papers) and Fault Detection and Control Systems (34 papers). T. K. Radhakrishnan is often cited by papers focused on Advanced Control Systems Optimization (65 papers), Advanced Control Systems Design (37 papers) and Fault Detection and Control Systems (34 papers). T. K. Radhakrishnan collaborates with scholars based in India, Canada and Vietnam. T. K. Radhakrishnan's co-authors include S. Karthika, P. Kalaichelvi, K. N. Sheeba, S. Jaisankar, N. Sivakumaran, Samsudeen Naina Mohamed, K. Ghousiya Begum, A. Seshagiri Rao, Manickam Matheswaran and D. Devaraj and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

T. K. Radhakrishnan

122 papers receiving 2.5k citations

Hit Papers

A Review of Classical and Nonclassical Nucleation Theories 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
T. K. Radhakrishnan India 24 731 647 589 423 407 128 2.6k
Jean‐Pierre Corriou France 30 755 1.0× 789 1.2× 975 1.7× 395 0.9× 202 0.5× 139 2.8k
Yan He China 26 226 0.3× 337 0.5× 289 0.5× 497 1.2× 428 1.1× 127 1.9k
Bernard P. A. Grandjean Canada 32 285 0.4× 1.1k 1.6× 790 1.3× 490 1.2× 373 0.9× 82 3.5k
Di Tang China 26 537 0.7× 861 1.3× 113 0.2× 664 1.6× 661 1.6× 126 2.6k
Yongliang Zhao China 30 326 0.4× 1.2k 1.8× 391 0.7× 1.1k 2.6× 396 1.0× 93 2.7k
Tingting Wang China 26 563 0.8× 619 1.0× 355 0.6× 1.1k 2.5× 243 0.6× 194 2.5k
Lei Ni China 27 227 0.3× 473 0.7× 267 0.5× 415 1.0× 159 0.4× 187 2.7k
Xinxiang Pan China 31 456 0.6× 1.6k 2.4× 2.5k 4.2× 1.0k 2.5× 251 0.6× 177 4.6k
Yuting Liu China 28 153 0.2× 524 0.8× 734 1.2× 447 1.1× 234 0.6× 129 2.4k

Countries citing papers authored by T. K. Radhakrishnan

Since Specialization
Citations

This map shows the geographic impact of T. K. Radhakrishnan'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 T. K. Radhakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. K. Radhakrishnan more than expected).

Fields of papers citing papers by T. K. Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. K. Radhakrishnan. 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 T. K. Radhakrishnan. The network helps show where T. K. Radhakrishnan may publish in the future.

Co-authorship network of co-authors of T. K. Radhakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of T. K. Radhakrishnan. A scholar is included among the top collaborators of T. K. Radhakrishnan 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 T. K. Radhakrishnan. T. K. Radhakrishnan 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.
Radhakrishnan, T. K., et al.. (2025). Deep deterministic policy gradient reinforcement learning based temperature control of a fermentation bioreactor for ethanol production. Journal of the Indian Chemical Society. 102(2). 101575–101575. 4 indexed citations
2.
Radhakrishnan, T. K., et al.. (2024). Deep learning based modelling and control of a microbial electrolysis cell for enhanced bio hydrogen production. International Journal of Hydrogen Energy. 137. 1308–1321. 3 indexed citations
3.
Sivakumaran, N., et al.. (2024). Short-term water demand prediction using stacking regression–based machine learning. Water Practice & Technology. 19(12). 4773–4796.
4.
Babu, J. Sarat Chandra, et al.. (2020). Optimisation of interaction parameters for CFD modelling of multiphase flow using NR method. International journal of computational fluid dynamics. 34(4). 249–266.
5.
Kalaichelvi, P., et al.. (2020). Review on Suitability of Ionic Liquids for Heat Transfer Applications. 3(3). 40–51.
6.
Karthika, S., T. K. Radhakrishnan, & P. Kalaichelvi. (2019). Crystallization and Kinetic Studies of an Active Pharmaceutical Compound Using Ethyl Lactate As a Green Solvent. ACS Sustainable Chemistry & Engineering. 8(3). 1527–1537. 10 indexed citations
7.
Begum, K. Ghousiya, A. Seshagiri Rao, & T. K. Radhakrishnan. (2019). Assessment of Proportional Integral Derivative Control Loops for Large Dominant Time Constant Processes. Chemical Product and Process Modeling. 15(1). 4 indexed citations
8.
Kirubakaran, V., et al.. (2017). Real Time Modeling and Control of Three Tank Hybrid System. Chemical Product and Process Modeling. 13(1). 12 indexed citations
9.
Radhakrishnan, T. K., et al.. (2017). Modeling and control of a real time shell and tube heat exchanger. Resource-Efficient Technologies. 124–132. 3 indexed citations
10.
Kirubakaran, V., et al.. (2015). GOBF-ARMA based model predictive control for an ideal reactive distillation column. Ecotoxicology and Environmental Safety. 121. 110–115. 9 indexed citations
11.
Kirubakaran, V., et al.. (2015). Energy efficient model based algorithm for control of building HVAC systems. Ecotoxicology and Environmental Safety. 121. 236–243. 11 indexed citations
12.
Radhakrishnan, T. K., et al.. (2010). Modeling and Control of Multivariable Process Using Intelligent Techniques. SHILAP Revista de lepidopterología.
13.
Nithya, S., N. Sivakumaran, T. K. Radhakrishnan, & N. Anantharaman. (2010). Control of Nonlinear Process Using Soft Computing. SSRN Electronic Journal. 2 indexed citations
14.
Radhakrishnan, T. K., et al.. (2010). Soft sensor based composition estimation and controller design for an ideal reactive distillation column. ISA Transactions. 50(1). 61–70. 37 indexed citations
15.
Perumalsamy, Muthiah, P. Kalaichelvi, & T. K. Radhakrishnan. (2009). CFD Modeling of Flow Pattern and Phase Holdup of Three Phase Fluidized Bed Contactor. Chemical Product and Process Modeling. 4(1). 6 indexed citations
16.
Jaisankar, S., T. K. Radhakrishnan, & K. N. Sheeba. (2008). Experimental Studies on Heat Transfer and Friction Factor Characteristics of Forced Circulation Solar Water Heater System Fitted with Left-Right Twisted Tapes. International Energy Journal. 9(3). 17 indexed citations
17.
Sivakumaran, N., et al.. (2008). Adaptive Control of Neutralization Process using Neural Networks. Instrumentation Science & Technology. 36(2). 146–160. 1 indexed citations
18.
Devaraj, D., et al.. (2008). Real-coded genetic algorithm for system identification and controller tuning. Applied Mathematical Modelling. 33(8). 3392–3401. 56 indexed citations
19.
Sivakumaran, N. & T. K. Radhakrishnan. (2007). Predictive controller design for non-linear chemical processes. Indian Journal of Chemical Technology. 14(4). 341–349. 4 indexed citations
20.
Ganesh, A. Balaji, T. K. Radhakrishnan, G. Gobi, & D. Sastikumar. (2006). Estimation of Corrosion of Metals Using Fiber Optic Displacement Sensor System. SHILAP Revista de lepidopterología. 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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