Thomas Kleinert

905 total citations
19 papers, 432 citations indexed

About

Thomas Kleinert is a scholar working on Numerical Analysis, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Thomas Kleinert has authored 19 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Numerical Analysis, 7 papers in Electrical and Electronic Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in Thomas Kleinert's work include Advanced Optimization Algorithms Research (7 papers), Electric Power System Optimization (7 papers) and Risk and Portfolio Optimization (6 papers). Thomas Kleinert is often cited by papers focused on Advanced Optimization Algorithms Research (7 papers), Electric Power System Optimization (7 papers) and Risk and Portfolio Optimization (6 papers). Thomas Kleinert collaborates with scholars based in Germany, France and Belgium. Thomas Kleinert's co-authors include Martin Schmidt, Martine Labbé, Veronika Grimm, Ivana Ljubić, Gregor Zöttl, Frauke Liers, Jonas Egerer, Lars Schewe, H. Kriegsmann and René Henrion and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Chromatography A.

In The Last Decade

Thomas Kleinert

19 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Kleinert Germany 12 190 97 91 89 52 19 432
Nataliya Kalashnykova Mexico 8 81 0.4× 145 1.5× 144 1.6× 67 0.8× 74 1.4× 19 410
Jianqiang Cheng United States 13 108 0.6× 38 0.4× 133 1.5× 154 1.7× 37 0.7× 34 393
Tamra Carpenter United States 10 112 0.6× 133 1.4× 90 1.0× 105 1.2× 140 2.7× 18 430
Angelos Georghiou Canada 12 203 1.1× 55 0.6× 339 3.7× 333 3.7× 35 0.7× 27 734
Xiaojiao Tong China 13 241 1.3× 71 0.7× 121 1.3× 83 0.9× 75 1.4× 64 458
Selin Damla Ahipaşaoğlu Singapore 10 56 0.3× 49 0.5× 36 0.4× 57 0.6× 26 0.5× 26 302
Luis F. Zuluaga United States 15 229 1.2× 165 1.7× 188 2.1× 159 1.8× 133 2.6× 47 703
Stefano Coniglio Italy 11 147 0.8× 44 0.5× 37 0.4× 64 0.7× 9 0.2× 48 450
Churlzu Lim United States 12 40 0.2× 35 0.4× 101 1.1× 103 1.2× 23 0.4× 25 477
Steve Zymler United Kingdom 5 138 0.7× 48 0.5× 238 2.6× 490 5.5× 17 0.3× 5 757

Countries citing papers authored by Thomas Kleinert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kleinert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Kleinert

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

All Works

19 of 19 papers shown
1.
Kleinert, Thomas & Martin Schmidt. (2023). Why there is no need to use a big-M in linear bilevel optimization: a computational study of two ready-to-use approaches. Computational Management Science. 20(1). 14 indexed citations
2.
Burgard, Jan Pablo, et al.. (2023). Mixed-integer programming techniques for the minimum sum-of-squares clustering problem. Journal of Global Optimization. 87(1). 133–189. 2 indexed citations
3.
Heitsch, Holger, René Henrion, Thomas Kleinert, & Martin Schmidt. (2022). On convex lower-level black-box constraints in bilevel optimization with an application to gas market models with chance constraints. Journal of Global Optimization. 84(3). 651–685. 4 indexed citations
4.
Kleinert, Thomas, et al.. (2022). On piecewise linear approximations of bilinear terms: structural comparison of univariate and bivariate mixed-integer programming formulations. Journal of Global Optimization. 85(4). 789–819. 3 indexed citations
5.
Grimm, Veronika, et al.. (2021). The cost of decoupling trade and transport in the European entry-exit gas market with linear physics modeling. European Journal of Operational Research. 297(3). 1095–1111. 17 indexed citations
6.
Kleinert, Thomas, Martine Labbé, Ivana Ljubić, & Martin Schmidt. (2021). A Survey on Mixed-Integer Programming Techniques in Bilevel Optimization. SHILAP Revista de lepidopterología. 9. 100007–100007. 105 indexed citations
7.
Kleinert, Thomas, et al.. (2021). Presolving linear bilevel optimization problems. SHILAP Revista de lepidopterología. 9. 100020–100020. 3 indexed citations
8.
Kleinert, Thomas, Veronika Grimm, & Martin Schmidt. (2021). Outer approximation for global optimization of mixed-integer quadratic bilevel problems. Mathematical Programming. 188(2). 461–521. 13 indexed citations
9.
Kleinert, Thomas, et al.. (2020). Technical Note—There’s No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization. Operations Research. 68(6). 1716–1721. 74 indexed citations
10.
Egerer, Jonas, Veronika Grimm, Thomas Kleinert, Martin Schmidt, & Gregor Zöttl. (2020). The impact of neighboring markets on renewable locations, transmission expansion, and generation investment. European Journal of Operational Research. 292(2). 696–713. 19 indexed citations
11.
Kleinert, Thomas, et al.. (2020). Closing the gap in linear bilevel optimization: a new valid primal-dual inequality. Optimization Letters. 15(4). 1027–1040. 15 indexed citations
12.
Grimm, Veronika, et al.. (2020). Endogenous price zones and investment incentives in electricity markets: An application of multilevel optimization with graph partitioning. Energy Economics. 92. 104879–104879. 25 indexed citations
13.
Kleinert, Thomas & Martin Schmidt. (2020). Computing Feasible Points of Bilevel Problems with a Penalty Alternating Direction Method. INFORMS journal on computing. 33(1). 198–215. 24 indexed citations
14.
Kleinert, Thomas & Martin Schmidt. (2019). Global optimization of multilevel electricity market models including network design and graph partitioning. Discrete Optimization. 33. 43–69. 32 indexed citations
15.
Kleinert, Thomas, et al.. (2019). On electricity market equilibria with storage: Modeling, uniqueness, and a distributed ADMM. Computers & Operations Research. 114. 104783–104783. 16 indexed citations
16.
Egerer, Jonas, Veronika Grimm, Thomas Kleinert, Martin Schmidt, & Gregor Zöttl. (2019). The Impact of Neighboring Markets on Renewable Locations, Transmission Expansion, and Generation Investment. SSRN Electronic Journal. 5 indexed citations
17.
18.
Grimm, Veronika, Thomas Kleinert, Frauke Liers, Martin Schmidt, & Gregor Zöttl. (2017). Optimal price zones of electricity markets: a mixed-integer multilevel model and global solution approaches. Optimization methods & software. 34(2). 406–436. 47 indexed citations
19.
Kleinert, Thomas, et al.. (1978). Abschätzung von zwischenmolekularen kräften in gas-chromatographischen trennflüssigkeiten auf siliconbasis. Journal of Chromatography A. 147. 3–15. 5 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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