Mayank Baranwal

663 total citations
37 papers, 367 citations indexed

About

Mayank Baranwal is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mayank Baranwal has authored 37 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 9 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Mayank Baranwal's work include Microgrid Control and Optimization (4 papers), Smart Grid Energy Management (4 papers) and Force Microscopy Techniques and Applications (3 papers). Mayank Baranwal is often cited by papers focused on Microgrid Control and Optimization (4 papers), Smart Grid Energy Management (4 papers) and Force Microscopy Techniques and Applications (3 papers). Mayank Baranwal collaborates with scholars based in United States, India and South Korea. Mayank Baranwal's co-authors include Srinivasa M. Salapaka, Alfred O. Hero, Abram Magner, Angela Violi, Paolo Elvati, Murti V. Salapaka, Kunal Garg, Ophelia S. Venturelli, Ryan L. Clark and Jaron Thompson and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Mayank Baranwal

35 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayank Baranwal United States 9 131 99 89 69 41 37 367
Zhixiang Yin China 11 105 0.8× 52 0.5× 82 0.9× 26 0.4× 34 0.8× 70 392
Yongyi Yan China 10 119 0.9× 93 0.9× 41 0.5× 191 2.8× 104 2.5× 51 407
Stuart M. Harwood United States 9 105 0.8× 114 1.2× 28 0.3× 79 1.1× 108 2.6× 18 345
Juan Carlos Seck-Tuoh-Mora Mexico 13 77 0.6× 32 0.3× 42 0.5× 190 2.8× 104 2.5× 70 415
Nicoletta Bof Italy 8 133 1.0× 90 0.9× 143 1.6× 47 0.7× 38 0.9× 10 388
Rajashree Mishra India 12 28 0.2× 145 1.5× 34 0.4× 33 0.5× 42 1.0× 28 343
Ekaterina Kostina Germany 8 51 0.4× 181 1.8× 36 0.4× 94 1.4× 10 0.2× 24 386
Max Tschaikowski Italy 10 120 0.9× 24 0.2× 30 0.3× 72 1.0× 68 1.7× 35 300
Kurt Reinschke Germany 10 63 0.5× 245 2.5× 40 0.4× 105 1.5× 50 1.2× 29 453

Countries citing papers authored by Mayank Baranwal

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Baranwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Baranwal

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Baranwal. A scholar is included among the top collaborators of Mayank Baranwal 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 Mayank Baranwal. Mayank Baranwal 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.
2.
Baranwal, Mayank, et al.. (2024). SPIN: A data-driven model to reduce large chemical reaction networks. Fuel. 367. 131299–131299. 1 indexed citations
3.
Baranwal, Mayank, et al.. (2024). A deep learning architecture for metabolic pathway prediction. Bioinformatics. 40(7). 1 indexed citations
4.
Baranwal, Mayank, et al.. (2023). Generalized Gradient Flows With Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points. IEEE Transactions on Automatic Control. 69(4). 2281–2293.
5.
Baranwal, Mayank, et al.. (2023). Challenges in utilizing diethylene glycol and ethylene glycol as excipient: A thorough overview. 15(1). 8–15. 3 indexed citations
6.
Baranwal, Mayank, et al.. (2023). PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14757–14764. 5 indexed citations
7.
Garg, Kunal, Mayank Baranwal, Rohit Gupta, & Mouhacine Benosman. (2022). Fixed-Time Stable Proximal Dynamical System for Solving MVIPs. IEEE Transactions on Automatic Control. 68(8). 5029–5036. 19 indexed citations
8.
Baranwal, Mayank, Abram Magner, Emine Sumeyra Turali Emre, et al.. (2022). Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions. BMC Bioinformatics. 23(1). 370–370. 39 indexed citations
9.
Baranwal, Mayank, et al.. (2022). Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics. eLife. 11. 37 indexed citations
10.
Baranwal, Mayank, Lavanya Marla, Carolyn L. Beck, & Srinivasa M. Salapaka. (2022). A unified Maximum Entropy Principle approach for a large class of routing problems. Computers & Industrial Engineering. 171. 108383–108383. 2 indexed citations
11.
Baranwal, Mayank, et al.. (2022). Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6115–6122. 7 indexed citations
12.
Baranwal, Mayank, et al.. (2021). CGAT: Cell Graph ATtention Network for Grading of Pancreatic Disease Histology Images. Frontiers in Immunology. 12. 727610–727610. 7 indexed citations
13.
Kim, Doo-Hyun, Sijia Liu, Paolo Elvati, et al.. (2020). On sparse identification of complex dynamical systems: A study on discovering influential reactions in chemical reaction networks. Fuel. 279. 118204–118204. 7 indexed citations
14.
Garg, Kunal, Mayank Baranwal, & Dimitra Panagou. (2020). A Fixed-Time Convergent Distributed Algorithm for Strongly Convex Functions in a Time-Varying Network. 4405–4410. 14 indexed citations
15.
Baranwal, Mayank & Srinivasa M. Salapaka. (2018). Weighted kernel deterministic annealing: A maximum-entropy principle approach for shape clustering. 1–6. 1 indexed citations
16.
Baranwal, Mayank & Srinivasa M. Salapaka. (2017). Clustering of power networks: An information-theoretic perspective. 3323–3328. 3 indexed citations
17.
Baranwal, Mayank, et al.. (2017). DC bus voltage regulation using photovoltaic module: A non-iterative method. 4099–4104. 1 indexed citations
18.
Baranwal, Mayank, et al.. (2016). Robust atomic force microscopy using multiple sensors. Review of Scientific Instruments. 87(8). 83704–83704. 5 indexed citations
19.
20.
Quadrelli, Marco B., et al.. (2014). Modeling and Simulation of Flight Dynamics of Variable Mass Systems. 2 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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