Martin Schmidt

3.1k total citations
121 papers, 1.8k citations indexed

About

Martin Schmidt is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Numerical Analysis. According to data from OpenAlex, Martin Schmidt has authored 121 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 40 papers in Control and Systems Engineering and 29 papers in Numerical Analysis. Recurrent topics in Martin Schmidt's work include Advanced Optimization Algorithms Research (29 papers), Optimization and Variational Analysis (21 papers) and Risk and Portfolio Optimization (21 papers). Martin Schmidt is often cited by papers focused on Advanced Optimization Algorithms Research (29 papers), Optimization and Variational Analysis (21 papers) and Risk and Portfolio Optimization (21 papers). Martin Schmidt collaborates with scholars based in Germany, United Kingdom and France. Martin Schmidt's co-authors include Thomas Kleinert, Lars Schewe, Veronika Grimm, Gregor Zöttl, Martine Labbé, Marc C. Steinbach, Ivana Ljubić, Bernhard M. Willert, Hans Jürgen Bestmann and Alexander Martín and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Martin Schmidt

110 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Schmidt Germany 24 801 452 237 208 181 121 1.8k
Jicheng Liu China 24 694 0.9× 322 0.7× 137 0.6× 209 1.0× 27 0.1× 172 2.0k
Fani Boukouvala United States 25 144 0.2× 799 1.8× 468 2.0× 190 0.9× 90 0.5× 50 2.2k
John D. Siirola United States 17 678 0.8× 589 1.3× 111 0.5× 74 0.4× 46 0.3× 38 1.6k
Mohit Tawarmalani United States 28 371 0.5× 2.0k 4.5× 1.1k 4.6× 325 1.6× 1.4k 7.5× 83 4.0k
Eric S. Fraga United Kingdom 26 781 1.0× 533 1.2× 159 0.7× 39 0.2× 28 0.2× 100 1.9k
Chrysanthos E. Gounaris United States 21 114 0.1× 651 1.4× 240 1.0× 170 0.8× 233 1.3× 60 1.8k
Marco A. Durán United States 7 178 0.2× 990 2.2× 273 1.2× 99 0.5× 313 1.7× 8 1.6k
Artur M. Schweidtmann Netherlands 26 238 0.3× 628 1.4× 399 1.7× 68 0.3× 14 0.1× 65 2.1k
Sandro Macchietto United Kingdom 34 232 0.3× 1.9k 4.3× 499 2.1× 353 1.7× 46 0.3× 129 3.9k
Kang‐Di Lu China 24 971 1.2× 813 1.8× 138 0.6× 146 0.7× 5 0.0× 49 2.3k

Countries citing papers authored by Martin Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schmidt. A scholar is included among the top collaborators of Martin Schmidt 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 Martin Schmidt. Martin Schmidt 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.
Mai, Jonathan, et al.. (2025). Reductive cyclotrimerization of CO and isonitriles with a highly reactive Ca I synthon. Chemical Science. 16(26). 12058–12067.
2.
Lefebvre, Henri, et al.. (2024). On coupling constraints in linear bilevel optimization. Optimization Letters. 19(3). 689–697.
3.
Schewe, Lars, et al.. (2022). Global optimization for the multilevel European gas market system with nonlinear flow models on trees. Journal of Global Optimization. 82(3). 627–653. 7 indexed citations
4.
Grimm, Veronika, Daniel Nowak, Lars Schewe, et al.. (2021). A tractable multi-leader multi-follower peak-load-pricing model with strategic interaction. Mathematical Programming. 195(1-2). 605–647. 3 indexed citations
5.
Leugering, Günter, et al.. (2021). Time-Domain Decomposition for Optimal Control Problems Governed by Semilinear Hyperbolic Systems. SIAM Journal on Control and Optimization. 59(6). 4339–4372. 4 indexed citations
6.
Labbé, Martine, et al.. (2021). Deciding feasibility of a booking in the European gas market on a cycle is in P for the case of passive networks. Networks. 78(2). 128–152. 7 indexed citations
7.
Schewe, Lars, Martin Schmidt, & Dieter Weninger. (2020). A decomposition heuristic for mixed-integer supply chain problems. Operations Research Letters. 48(3). 225–232. 9 indexed citations
8.
Schewe, Lars, et al.. (2020). Computing technical capacities in the European entry-exit gas market is NP-hard. Annals of Operations Research. 295(1). 337–362. 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.
Grimm, Veronika, et al.. (2020). Optimal design of retailer-prosumer electricity tariffs using bilevel optimization. Omega. 102. 102327–102327. 47 indexed citations
11.
Reuß, Markus, Lara Welder, Jochen Linßen, et al.. (2019). Modeling hydrogen networks for future energy systems: A comparison of linear and nonlinear approaches. International Journal of Hydrogen Energy. 44(60). 32136–32150. 33 indexed citations
12.
Schewe, Lars & Martin Schmidt. (2019). The impact of potential-based physics models on pricing in energy networks. Central European Journal of Operations Research. 28(3). 1003–1029. 3 indexed citations
13.
Schewe, Lars, et al.. (2019). Structural properties of feasible bookings in the European entry–exit gas market system. 4OR. 18(2). 197–218. 9 indexed citations
14.
Robinius, Martin, et al.. (2019). Robust optimal discrete arc sizing for tree-shaped potential networks. Computational Optimization and Applications. 73(3). 791–819. 22 indexed citations
15.
Schewe, Lars, et al.. (2018). Uniqueness and multiplicity of market equilibria on DC power flow networks. European Journal of Operational Research. 271(1). 165–178. 23 indexed citations
16.
Grimm, Veronika, Lars Schewe, Martin Schmidt, & Gregor Zöttl. (2018). A multilevel model of the European entry-exit gas market. Mathematical Methods of Operations Research. 89(2). 223–255. 38 indexed citations
17.
Groß, Martin, Marc E. Pfetsch, Lars Schewe, Martin Schmidt, & Martin Skutella. (2018). Algorithmic results for potential‐based flows: Easy and hard cases. Networks. 73(3). 306–324. 21 indexed citations
18.
Geißler, Björn, Antonio Morsi, Lars Schewe, & Martin Schmidt. (2018). Solving Highly Detailed Gas Transport MINLPs: Block Separability and Penalty Alternating Direction Methods. INFORMS journal on computing. 30(2). 309–323. 36 indexed citations
19.
Grimm, Veronika, et al.. (2018). Nonconvex equilibrium models for gas market analysis: Failure of standard techniques and alternative modeling approaches. European Journal of Operational Research. 273(3). 1097–1108. 14 indexed citations
20.
Schmidt, Martin, et al.. (2017). GasLib—A Library of Gas Network Instances. Data. 2(4). 40–40. 83 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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