Maximilian Weininger

590 total citations
12 papers, 32 citations indexed

About

Maximilian Weininger is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Maximilian Weininger has authored 12 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in Maximilian Weininger's work include Formal Methods in Verification (7 papers), Logic, Reasoning, and Knowledge (2 papers) and Machine Learning and Algorithms (2 papers). Maximilian Weininger is often cited by papers focused on Formal Methods in Verification (7 papers), Logic, Reasoning, and Knowledge (2 papers) and Machine Learning and Algorithms (2 papers). Maximilian Weininger collaborates with scholars based in Germany, Austria and Czechia. Maximilian Weininger's co-authors include Jan Křetínský, Pushpak Jagtap, Majid Zamani, Thomas Brihaye, Joost-Pieter Katoen and Krishnendu Chatterjee and has published in prestigious journals such as Information and Computation, Acta Informatica and Formal Methods in System Design.

In The Last Decade

Maximilian Weininger

10 papers receiving 29 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maximilian Weininger Germany	4	17	15	5	4	4	12	32
Marcell Vazquez-Chanlatte United States	3	18 1.1×	7 0.5×	2 0.4×	2 0.5×	2 0.5×	5	21
Heidy Khlaaf United Kingdom	3	21 1.2×	11 0.7×	1 0.2×	5 1.3×	8 2.0×	4	25
R. Bardenet France	2	10 0.6×	8 0.5×	6 1.2×	1 0.3×		2	23
Edoardo Conti Denmark	2	41 2.4×	14 0.9×	4 0.8×	1 0.3×		2	52
Hao-Jun Michael Shi United States	3	7 0.4×	12 0.8×	3 0.6×			3	29
David Von Dollen Netherlands	4	35 2.1×	12 0.8×	2 0.4×			7	49
Tim Quatmann Germany	3	18 1.1×	17 1.1×		1 0.3×	9 2.3×	7	22
Hormoz Shahrzad United States	4	15 0.9×	7 0.5×	3 0.6×			10	26
David Delmas France	3	4 0.2×	9 0.6×	3 0.6×		7 1.8×	4	15
Daniel Toyama Canada	2	15 0.9×	6 0.4×	2 0.4×			2	16

Countries citing papers authored by Maximilian Weininger

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian Weininger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Weininger

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Brihaye, Thomas, et al.. (2025). Risk-aware Markov Decision Processes Using Cumulative Prospect Theory. 458–471.

2.

Křetínský, Jan, et al.. (2025). Stopping Criteria for Value Iteration on Concurrent Stochastic Reachability and Safety Games. 568–580. 1 indexed citations

3.

Weininger, Maximilian, et al.. (2025). Solving Robust Markov Decision Processes: Generic, Reliable, Efficient. Proceedings of the AAAI Conference on Artificial Intelligence. 39(25). 26631–26641. 1 indexed citations

4.

Chatterjee, Krishnendu, et al.. (2023). Stochastic games with lexicographic objectives. Formal Methods in System Design. 63(1-3). 40–80.

5.

Křetínský, Jan, et al.. (2023). Algebraically explainable controllers: decision trees and support vector machines join forces. International Journal on Software Tools for Technology Transfer. 25(3). 249–266. 3 indexed citations

6.

Křetínský, Jan, et al.. (2023). Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives. 1–14. 2 indexed citations

7.

Křetínský, Jan, et al.. (2022). Comparison of algorithms for simple stochastic games. Information and Computation. 289. 104885–104885. 4 indexed citations

8.

Křetínský, Jan, et al.. (2022). Value iteration for simple stochastic games: Stopping criterion and learning algorithm. Information and Computation. 285. 104886–104886. 6 indexed citations

9.

Křetínský, Jan, et al.. (2021). Index appearance record with preorders. Acta Informatica. 59(5). 585–618. 1 indexed citations

10.

Weininger, Maximilian, et al.. (2021). Stochastic Games with Disjunctions of Multiple Objectives. Electronic Proceedings in Theoretical Computer Science. 346. 83–100. 1 indexed citations

11.

Jagtap, Pushpak, et al.. (2020). dtControl. 1–7. 10 indexed citations

12.

Křetínský, Jan, et al.. (2020). Comparison of Algorithms for Simple Stochastic Games. Electronic Proceedings in Theoretical Computer Science. 326. 131–148. 3 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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