Ashish Cherukuri

1.1k total citations
32 papers, 601 citations indexed

About

Ashish Cherukuri is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Ashish Cherukuri has authored 32 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 12 papers in Electrical and Electronic Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Ashish Cherukuri's work include Smart Grid Energy Management (9 papers), Electric Power System Optimization (9 papers) and Risk and Portfolio Optimization (9 papers). Ashish Cherukuri is often cited by papers focused on Smart Grid Energy Management (9 papers), Electric Power System Optimization (9 papers) and Risk and Portfolio Optimization (9 papers). Ashish Cherukuri collaborates with scholars based in Netherlands, United States and Switzerland. Ashish Cherukuri's co-authors include Jorge Cortés, Ashish R. Hota, Bala Kameshwar Poolla, Duncan S. Callaway, Saverio Bolognani, Evrim Ursavas, Nima Monshizadeh, Sonia Martı́nez, Alejandro D. Domínguez-García and Debasish Chatterjee and has published in prestigious journals such as Automatica, IEEE Transactions on Power Systems and Annals of Operations Research.

In The Last Decade

Ashish Cherukuri

31 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Cherukuri Netherlands 9 339 258 199 80 46 32 601
Jueyou Li China 13 208 0.6× 234 0.9× 113 0.6× 49 0.6× 45 1.0× 37 503
Maben Rabi Sweden 11 442 1.3× 80 0.3× 314 1.6× 101 1.3× 22 0.5× 22 638
Yang‐Yang Qian United States 13 683 2.0× 170 0.7× 585 2.9× 129 1.6× 5 0.1× 31 912
Seyed Mehdi Abedi Pahnehkolaei Iran 13 188 0.6× 145 0.6× 165 0.8× 48 0.6× 11 0.2× 19 468
Bryan Van Scoy United States 7 228 0.7× 79 0.3× 106 0.5× 27 0.3× 12 0.3× 19 359
Kaihong Lu China 12 344 1.0× 62 0.2× 126 0.6× 93 1.2× 115 2.5× 35 495
Ivano Notarnicola Italy 10 217 0.6× 69 0.3× 67 0.3× 26 0.3× 27 0.6× 25 316
Akshay Kashyap United States 9 766 2.3× 266 1.0× 132 0.7× 15 0.2× 38 0.8× 11 867
Naoki Hayashi Japan 10 253 0.7× 62 0.2× 109 0.5× 22 0.3× 45 1.0× 58 385

Countries citing papers authored by Ashish Cherukuri

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Cherukuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Cherukuri

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Cherukuri. A scholar is included among the top collaborators of Ashish Cherukuri 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 Ashish Cherukuri. Ashish Cherukuri 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.
Ursavas, Evrim, et al.. (2025). Joint Investment-Operation Planning for Assessing the Economic Impact of Hydrogen Integration in Power Systems. University of Groningen research database (University of Groningen / Centre for Information Technology). 3(3). 236–250.
2.
Ursavas, Evrim, et al.. (2023). A Two-Step Approach to Wasserstein Distributionally Robust Chance- and Security-Constrained Dispatch. IEEE Transactions on Power Systems. 39(1). 1447–1459. 17 indexed citations
3.
Cherukuri, Ashish. (2023). Sample average approximation of conditional value-at-risk based variational inequalities. Optimization Letters. 18(2). 471–496. 1 indexed citations
4.
Cherukuri, Ashish, et al.. (2023). Dynamic Interventions With Limited Knowledge in Network Games. IEEE Transactions on Control of Network Systems. 11(3). 1153–1164. 1 indexed citations
5.
Jayawardhana, Bayu, et al.. (2022). Iterative Learning and Model Predictive Control for Repetitive Nonlinear Systems via Koopman Operator Approximation. 2022 IEEE 61st Conference on Decision and Control (CDC). 3059–3065. 5 indexed citations
6.
Cherukuri, Ashish, et al.. (2022). Data-driven distributionally robust iterative risk-constrained model predictive control. 2022 European Control Conference (ECC). 1578–1583. 11 indexed citations
7.
Cherukuri, Ashish, et al.. (2021). Adaptive interventions for social welfare maximization in network games. 2021 60th IEEE Conference on Decision and Control (CDC). 35. 942–947. 2 indexed citations
8.
Cherukuri, Ashish, et al.. (2021). Frequency-driven market mechanisms for optimal dispatch in power networks. Automatica. 133. 109861–109861. 4 indexed citations
9.
Cherukuri, Ashish, et al.. (2020). Steering the aggregative behavior of noncooperative agents: a nudge framework. arXiv (Cornell University). 3 indexed citations
10.
Hota, Ashish R., et al.. (2019). Data-Driven Regret Minimization in Routing Games under Uncertainty. University of Groningen research database (University of Groningen / Centre for Information Technology). 1702–1707. 1 indexed citations
11.
Cherukuri, Ashish, et al.. (2018). Integrating Iterative Bidding in Electricity Markets and Frequency Regulation. 6182–6187. 3 indexed citations
12.
Cherukuri, Ashish & Jorge Cortés. (2017). Data-driven distributed optimization using Wasserstein ambiguity sets. 38–44. 2 indexed citations
13.
Cherukuri, Ashish, Alejandro D. Domínguez-García, & Jorge Cortés. (2017). Distributed coordination of power generators for a linearized optimal power flow problem. 3962–3967. 6 indexed citations
14.
Cherukuri, Ashish & Jorge Cortés. (2017). Decentralized Nash equilibrium seeking by strategic generators for DC optimal power flow. 1–6. 4 indexed citations
15.
Cherukuri, Ashish & Jorge Cortés. (2016). Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment. Automatica. 74. 183–193. 193 indexed citations
16.
Cherukuri, Ashish & Jorge Cortés. (2015). Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch. IEEE Transactions on Control of Network Systems. 2(3). 226–237. 217 indexed citations
17.
Cherukuri, Ashish & Jorge Cortés. (2015). Asymptotic stability of saddle points under the saddle-point dynamics. 2020–2025. 10 indexed citations
18.
Cherukuri, Ashish, Sonia Martı́nez, & Jorge Cortés. (2014). Distributed, anytime optimization in power-generator networks for economic dispatch. 172–177. 8 indexed citations
19.
Cherukuri, Ashish & Jorge Cortés. (2014). Distributed coordination for economic dispatch with varying load and generator commitment. 7 indexed citations
20.
Nagy, Zoltán, Shuhei Miyashita, Simon Muntwyler, et al.. (2009). Morphology detection for magnetically self-assembled modular robots. 5281–5286. 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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