Mukul Agarwal

1.2k total citations · 1 hit paper
27 papers, 717 citations indexed

About

Mukul Agarwal is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mukul Agarwal has authored 27 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 10 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Mukul Agarwal's work include Fault Detection and Control Systems (13 papers), Advanced Control Systems Optimization (12 papers) and Control Systems and Identification (10 papers). Mukul Agarwal is often cited by papers focused on Fault Detection and Control Systems (13 papers), Advanced Control Systems Optimization (12 papers) and Control Systems and Identification (10 papers). Mukul Agarwal collaborates with scholars based in Switzerland, United States and India. Mukul Agarwal's co-authors include Peter Terwiesch, Dale E. Seborg, D.W.T. Rippin, C. Canudas, Jonas Sjöberg, Abhay Karandikar, Vivek S. Borkar, Per‐Olof Gutman, Dominique Bonvin and Shailendra Kumar and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and AIChE Journal.

In The Last Decade

Mukul Agarwal

27 papers receiving 680 citations

Hit Papers

A comparison between VGG16, VGG19 and ResNet50 architectu... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A comparison between VGG16, VGG19 and ResNet50 architecture frameworks for Image Classification
    2021 257 citations Mukul Agarwal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukul Agarwal Switzerland 13 352 147 82 55 51 27 717
Monika Agarwal Switzerland 15 444 1.3× 180 1.2× 126 1.5× 49 0.9× 21 0.4× 34 721
Lihua Wang China 11 172 0.5× 131 0.9× 82 1.0× 113 2.1× 39 0.8× 39 519
Mingyuan Xin China 10 96 0.3× 73 0.5× 70 0.9× 32 0.6× 65 1.3× 27 438
Yixin Chen China 14 159 0.5× 370 2.5× 151 1.8× 59 1.1× 87 1.7× 77 918
Minghu Wu China 15 374 1.1× 245 1.7× 155 1.9× 38 0.7× 129 2.5× 56 793
Marius-Constantin Popescu Romania 7 81 0.2× 133 0.9× 58 0.7× 52 0.9× 113 2.2× 43 548
Dante Mújica‐Vargas Mexico 16 231 0.7× 139 0.9× 156 1.9× 41 0.7× 71 1.4× 53 618
Genaro Ochoa Mexico 15 304 0.9× 156 1.1× 81 1.0× 64 1.2× 92 1.8× 18 606
M. Arafa Egypt 10 162 0.5× 120 0.8× 65 0.8× 29 0.5× 114 2.2× 16 543
E.B. Bartlett United States 10 283 0.8× 209 1.4× 55 0.7× 50 0.9× 32 0.6× 27 529

Countries citing papers authored by Mukul Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Mukul Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukul Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Mukul Agarwal. A scholar is included among the top collaborators of Mukul Agarwal 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 Mukul Agarwal. Mukul Agarwal 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.
Agarwal, Mukul, et al.. (2021). A comparison between VGG16, VGG19 and ResNet50 architecture frameworks for Image Classification. 96–99. 257 indexed citations breakdown →
2.
Agarwal, Mukul & Shailendra Kumar. (2020). Selection of Karanja Biodiesel Blend for Engine Performance by using TOPSIS and VIKOR Method. International Journal of Engineering and Advanced Technology. 9(5). 1222–1231. 2 indexed citations
3.
Agarwal, Mukul & Sanjoy K. Mitter. (2010). Communication to within a fidelity criterion over unknown networks by reduction to reliable communication problems over unknown networks. arXiv (Cornell University). 1 indexed citations
4.
Sjöberg, Jonas, et al.. (2008). Nonlinear controller tuning based on a sequence of identifications of linearized time-varying models. Control Engineering Practice. 17(2). 311–321. 15 indexed citations
5.
Sjöberg, Jonas & Mukul Agarwal. (2002). Trajectory tracking in batch processes using neural controllers. Engineering Applications of Artificial Intelligence. 15(1). 41–51. 9 indexed citations
6.
Agarwal, Mukul, et al.. (2000). Online-optimized feed switching in semi-batch reactors using semi-empirical dynamic models. Control Engineering Practice. 8(12). 1393–1403. 14 indexed citations
7.
Agarwal, Mukul. (1998). Practical issues in designing estimators under realistic model and sensor errors. Control Engineering Practice. 6(2). 197–208. 2 indexed citations
8.
Agarwal, Mukul, et al.. (1997). Dynamic modelling using neural networks. International Journal of Systems Science. 28(12). 1285–1298. 2 indexed citations
9.
Agarwal, Mukul. (1997). FEASIBILITY OF ON-LINE REOPTIMIZATION IN BATCH PROCESSES. Chemical Engineering Communications. 158(1). 19–29. 15 indexed citations
10.
Agarwal, Mukul, et al.. (1997). Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons. Neural Networks. 10(8). 1435–1443. 38 indexed citations
11.
Terwiesch, Peter & Mukul Agarwal. (1995). ROBUST INPUT POLICIES FOR BATCH REACTORS UNDER PARAMETRIC UNCERTAINTY. Chemical Engineering Communications. 131(1). 33–52. 10 indexed citations
12.
Agarwal, Mukul, et al.. (1995). Prediction of infrequently measurable quantities in poorly modelled processes. Journal of Process Control. 5(5). 329–339. 11 indexed citations
13.
Terwiesch, Peter, Mukul Agarwal, & D.W.T. Rippin. (1994). Batch unit optimization with imperfect modelling: a survey. Journal of Process Control. 4(4). 238–258. 96 indexed citations
14.
Agarwal, Mukul, et al.. (1994). Improved Training of Neural Networks with Complex Search Spaces. IFAC Proceedings Volumes. 27(2). 65–70. 1 indexed citations
15.
Terwiesch, Peter & Mukul Agarwal. (1994). Online correction of pre-optimized input profiles for batch reactors. Computers & Chemical Engineering. 18. S433–S437. 12 indexed citations
16.
Agarwal, Mukul & Dale E. Seborg. (1987). A Self-tuning Controller for MIMO Nonlinear Systems. IFAC Proceedings Volumes. 20(2). 119–124. 3 indexed citations
17.
Agarwal, Mukul & Dale E. Seborg. (1987). A multivariable nonlinear self‐tuning controller. AIChE Journal. 33(8). 1379–1386. 13 indexed citations
18.
Agarwal, Mukul & Dale E. Seborg. (1987). A self‐tuning controller for mimo non‐linear systems. International Journal of Adaptive Control and Signal Processing. 1(2). 129–142. 4 indexed citations
19.
Agarwal, Mukul & C. Canudas. (1987). On-line estimation of time delay and continuous-time process parameters†. International Journal of Control. 46(1). 295–311. 26 indexed citations
20.
Agarwal, Mukul & C. Canudas. (1986). On-Line Estimation of Time Delay and Continuous-Time Process Parameters. 728–733. 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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