Maximilian Balandat

1.3k total citations
22 papers, 302 citations indexed

About

Maximilian Balandat is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Maximilian Balandat has authored 22 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 7 papers in Management Science and Operations Research and 5 papers in Artificial Intelligence. Recurrent topics in Maximilian Balandat's work include Smart Grid Energy Management (7 papers), Energy Efficiency and Management (5 papers) and Advanced Bandit Algorithms Research (5 papers). Maximilian Balandat is often cited by papers focused on Smart Grid Energy Management (7 papers), Energy Efficiency and Management (5 papers) and Advanced Bandit Algorithms Research (5 papers). Maximilian Balandat collaborates with scholars based in United States, Netherlands and Israel. Maximilian Balandat's co-authors include Claire J. Tomlin, Samuel Daulton, Andrew Gordon Wilson, Daniel Jiang, Brian Karrer, Eytan Bakshy, Benjamin Letham, Frauke Oldewurtel, Alessandro Abate and Mo Chen and has published in prestigious journals such as Systems & Control Letters, Nuclear Fusion and arXiv (Cornell University).

In The Last Decade

Maximilian Balandat

19 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maximilian Balandat United States	10	118	63	57	49	43	22	302
Yuning Liu China	9	25 0.2×	60 1.0×	26 0.5×	67 1.4×	90 2.1×	30	413
Hui Sun China	13	354 3.0×	115 1.8×	106 1.9×	71 1.4×	16 0.4×	63	554
Bernd Dammann Denmark	8	20 0.2×	121 1.9×	24 0.4×	53 1.1×	14 0.3×	24	345
Nikhil Arora Canada	11	133 1.1×	286 4.5×	24 0.4×	16 0.3×	65 1.5×	28	555
Ying‐Chao Hung Taiwan	11	112 0.9×	46 0.7×	27 0.5×	36 0.7×	19 0.4×	34	328
T. Srinivasan India	11	129 1.1×	125 2.0×	63 1.1×	40 0.8×	13 0.3×	65	463
Muhammad Mujtaba Shaikh Pakistan	11	98 0.8×	52 0.8×	63 1.1×	48 1.0×	17 0.4×	42	340
Michael Schmidt Germany	12	242 2.1×	84 1.3×	13 0.2×	8 0.2×	24 0.6×	60	549
Axinia Radeva United States	7	129 1.1×	75 1.2×	79 1.4×	11 0.2×	3 0.1×	14	309

Countries citing papers authored by Maximilian Balandat

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian Balandat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Balandat

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Balandat. A scholar is included among the top collaborators of Maximilian Balandat 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 Maximilian Balandat. Maximilian Balandat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bakshy, Eytan, et al.. (2024). Robust Gaussian Processes via Relevance Pursuit. 61700–61734.

Owen, Art B., et al.. (2023). Quasi-Monte Carlo Methods in Python. The Journal of Open Source Software. 8(84). 5309–5309. 8 indexed citations

Bakshy, Eytan, et al.. (2022). Bayesian Optimization Over Discrete and Mixed Spaces Via Probabilistic Reparameterization. 12760–12774.

Zhong, Zhizhen, Manya Ghobadi, Maximilian Balandat, et al.. (2021). BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration. F3B.1–F3B.1. 11 indexed citations

Balandat, Maximilian, Brian Karrer, Daniel Jiang, et al.. (2019). BoTorch: Programmable Bayesian Optimization in PyTorch.. 32 indexed citations

Balandat, Maximilian, Brian Karrer, Daniel Jiang, et al.. (2019). BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization. arXiv (Cornell University). 33. 21524–21538. 82 indexed citations

Balandat, Maximilian, et al.. (2018). Estimation and Targeting of Residential Households for Hour-Ahead Demand Response Interventions – A Case Study in California. 2018 IEEE Conference on Control Technology and Applications (CCTA). 18–23. 2 indexed citations

Balandat, Maximilian, et al.. (2017). Eliciting private user information for residential demand response. 189–195. 8 indexed citations

Balandat, Maximilian, et al.. (2017). Estimating Treatment Effects of a Residential Demand Response Program Using Non-experimental Data. 95–102. 7 indexed citations

10.

Balandat, Maximilian, Walid Krichene, Claire J. Tomlin, & Alexandre M. Bayen. (2016). Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games. Neural Information Processing Systems. 29. 154–162. 2 indexed citations

11.

Hu, Qie, et al.. (2016). Building model identification during regular operation - empirical results and challenges. 11 indexed citations

12.

Balandat, Maximilian. (2016). New Tools for Econometric Analysis of High-Frequency Time Series Data - Application to Demand-Side Management in Electricity Markets. eScholarship (California Digital Library). 1 indexed citations

13.

Balandat, Maximilian, et al.. (2016). Residential demand response targeting using machine learning with observational data. 6663–6668. 36 indexed citations

14.

Balandat, Maximilian, et al.. (2016). A Bayesian perspective on Residential Demand Response using smart meter data. 1212–1219. 14 indexed citations

15.

Krichene, Walid, Maximilian Balandat, Claire J. Tomlin, & Alexandre M. Bayen. (2015). The Hedge Algorithm on a Continuum. International Conference on Machine Learning. 824–832. 2 indexed citations

16.

Balandat, Maximilian, Frauke Oldewurtel, Mo Chen, & Claire J. Tomlin. (2014). Contract design for frequency regulation by aggregations of commercial buildings. 38–45. 33 indexed citations

17.

Balandat, Maximilian & Claire J. Tomlin. (2013). On efficiency in mean field differential games. 2527–2532. 9 indexed citations

18.

Balandat, Maximilian & Claire J. Tomlin. (2013). A dynamic VCG mechanism for random allocation spaces. 78. 925–931.

19.

Balandat, Maximilian, Wei Zhang, & Alessandro Abate. (2012). On infinite horizon switched LQR problems with state and control constraints. Systems & Control Letters. 61(4). 464–471. 25 indexed citations

20.

Balandat, Maximilian, Wei Zhang, & Alessandro Abate. (2010). On the infinite horizon constrained switched LQR problem. 290. 2131–2136. 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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