Indranil Pan

4.8k total citations · 1 hit paper
78 papers, 3.7k citations indexed

About

Indranil Pan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Indranil Pan has authored 78 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 16 papers in Artificial Intelligence and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Indranil Pan's work include Advanced Control Systems Design (30 papers), Extremum Seeking Control Systems (12 papers) and Fractional Differential Equations Solutions (11 papers). Indranil Pan is often cited by papers focused on Advanced Control Systems Design (30 papers), Extremum Seeking Control Systems (12 papers) and Fractional Differential Equations Solutions (11 papers). Indranil Pan collaborates with scholars based in United Kingdom, India and United States. Indranil Pan's co-authors include Saptarshi Das, Shantanu Das, Amitava Gupta, Edward O’Dwyer, Salvador Acha, Nilay Shah, Daya Shankar Pandey, Thilo Wrona, Robert L. Gawthorpe and Haakon Fossen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Water Resources Research.

In The Last Decade

Indranil Pan

77 papers receiving 3.6k citations

Hit Papers

Smart energy systems for ... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Indranil Pan 2.2k 1.3k 439 406 335 78 3.7k
Dongsheng Yang 1.3k 0.6× 1.2k 0.9× 96 0.2× 429 1.1× 415 1.2× 245 3.4k
Saptarshi Das 2.7k 1.2× 1.5k 1.2× 585 1.3× 380 0.9× 282 0.8× 167 4.2k
Maâmar Bettayeb 2.5k 1.1× 1.6k 1.2× 384 0.9× 463 1.1× 459 1.4× 274 4.9k
Peter W. Tse 4.6k 2.1× 574 0.4× 120 0.3× 396 1.0× 3.5k 10.3× 166 7.2k
Costas Papadimitriou 953 0.4× 232 0.2× 53 0.1× 547 1.3× 1.1k 3.4× 209 7.0k
Chaoshun Li 2.6k 1.2× 3.0k 2.3× 45 0.1× 1.7k 4.2× 972 2.9× 225 6.3k
Agnieszka Wyłomańska 1.2k 0.6× 129 0.1× 387 0.9× 167 0.4× 682 2.0× 224 2.6k
Gerasimos Rigatos 2.6k 1.2× 1.0k 0.8× 38 0.1× 680 1.7× 458 1.4× 330 4.0k
Ardashir Mohammadzadeh 1.6k 0.8× 1.0k 0.8× 131 0.3× 1.4k 3.5× 196 0.6× 198 4.0k
Singiresu S. Rao 1.0k 0.5× 726 0.5× 40 0.1× 473 1.2× 905 2.7× 57 4.3k

Countries citing papers authored by Indranil Pan

Since Specialization
Citations

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

Fields of papers citing papers by Indranil Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indranil Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Indranil Pan. A scholar is included among the top collaborators of Indranil Pan 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 Indranil Pan. Indranil Pan 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.
Wrona, Thilo, Indranil Pan, Rebecca Bell, et al.. (2023). Complex fault system revealed by 3-D seismic reflection data with deep learning and fault network analysis. Solid Earth. 14(11). 1181–1195. 5 indexed citations
2.
Pan, Indranil, et al.. (2022). Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation. SHILAP Revista de lepidopterología. 3. 3 indexed citations
3.
Mason, Lachlan, et al.. (2022). Rule-based Bayesian regression. Statistics and Computing. 32(3). 3 indexed citations
4.
Savage, Zachary, Cian Duggan, Pooja Pandey, et al.. (2021). Chloroplasts alter their morphology and accumulate at the pathogen interface during infection by Phytophthora infestans. The Plant Journal. 107(6). 1771–1787. 40 indexed citations
5.
Wrona, Thilo, Indranil Pan, Rebecca Bell, et al.. (2021). 3D seismic interpretation with deep learning: A brief introduction. The Leading Edge. 40(7). 524–532. 18 indexed citations
6.
Pan, Indranil, et al.. (2019). Active learning methodologies for surrogate model development in CFD applications. APS Division of Fluid Dynamics Meeting Abstracts. 2 indexed citations
7.
Mason, Lachlan, et al.. (2018). Will it flood? Classifying entrainment outcomes via machine learning. Bulletin of the American Physical Society. 1 indexed citations
8.
Pan, Indranil & Saptarshi Das. (2018). Evolving chaos: Identifying new attractors of the generalised Lorenz family. Applied Mathematical Modelling. 57. 391–405. 6 indexed citations
9.
Das, Saptarshi, Saptarshi Das, Indranil Pan, Shantanu Das, & Shantanu Das. (2016). Effect of random parameter switching on commensurate fractional order chaotic systems. Chaos Solitons & Fractals. 91. 157–173. 4 indexed citations
10.
Pandey, Daya Shankar, Saptarshi Das, Indranil Pan, James J. Leahy, & Witold Kwapiński. (2016). Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor. Waste Management. 58. 202–213. 132 indexed citations
11.
Das, Saptarshi, Saptarshi Das, Indranil Pan, Shantanu Das, & Shantanu Das. (2015). Multi-objective LQR with optimum weight selection to design FOPID controllers for delayed fractional order processes. ISA Transactions. 58. 35–49. 28 indexed citations
12.
13.
Pan, Indranil & Saptarshi Das. (2015). Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO. ISA Transactions. 62. 19–29. 252 indexed citations
14.
Pan, Indranil, et al.. (2014). Towards a global controller design for guaranteed synchronization of switched chaotic systems. Applied Mathematical Modelling. 39(8). 2311–2331. 10 indexed citations
15.
Pan, Indranil, Saptarshi Das, & Shantanu Das. (2014). Multi-objective active control policy design for commensurate and incommensurate fractional order chaotic financial systems. Applied Mathematical Modelling. 39(2). 500–514. 45 indexed citations
17.
Das, Saptarshi, Saptarshi Das, Indranil Pan, et al.. (2012). LQR based improved discrete PID controller design via optimum selection of weighting matrices using fractional order integral performance index. Applied Mathematical Modelling. 37(6). 4253–4268. 105 indexed citations
18.
Das, Saptarshi, et al.. (2012). Multi-objective optimization framework for networked predictive controller design. ISA Transactions. 52(1). 56–77. 14 indexed citations
19.
Das, Saptarshi, Indranil Pan, Shantanu Das, & Amitava Gupta. (2011). Improved model reduction and tuning of fractional-order PIλDμ controllers for analytical rule extraction with genetic programming. ISA Transactions. 51(2). 237–261. 64 indexed citations
20.
Pan, Indranil, Saptarshi Das, & Amitava Gupta. (2010). Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay. ISA Transactions. 50(1). 28–36. 196 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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