Lars Schewe

1.4k total citations
46 papers, 661 citations indexed

About

Lars Schewe is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Economics and Econometrics. According to data from OpenAlex, Lars Schewe has authored 46 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 9 papers in Economics and Econometrics. Recurrent topics in Lars Schewe's work include Process Optimization and Integration (11 papers), Integrated Energy Systems Optimization (8 papers) and Advanced Control Systems Optimization (8 papers). Lars Schewe is often cited by papers focused on Process Optimization and Integration (11 papers), Integrated Energy Systems Optimization (8 papers) and Advanced Control Systems Optimization (8 papers). Lars Schewe collaborates with scholars based in Germany, United Kingdom and Canada. Lars Schewe's co-authors include Martin Schmidt, Björn Geißler, Veronika Grimm, Gregor Zöttl, Antonio Morsi, Marc E. Pfetsch, Thorsten Koch, Robert Schwarz, Detlef Stolten and Jürgen Bokowski and has published in prestigious journals such as European Journal of Operational Research, International Journal of Hydrogen Energy and Mathematical Programming.

In The Last Decade

Lars Schewe

44 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Schewe Germany 15 363 227 83 78 67 46 661
Hassan Hijazi United States 14 745 2.1× 369 1.6× 75 0.9× 83 1.1× 59 0.9× 33 924
Marc C. Steinbach Germany 14 203 0.6× 256 1.1× 80 1.0× 96 1.2× 14 0.2× 46 810
R.J. Kaye Australia 15 616 1.7× 261 1.1× 35 0.4× 24 0.3× 41 0.6× 35 840
Didier Aussel France 20 151 0.4× 161 0.7× 710 8.6× 274 3.5× 77 1.1× 64 1.2k
L. Bayón Spain 18 357 1.0× 87 0.4× 66 0.8× 32 0.4× 47 0.7× 97 914
Rachid Ellaia Morocco 11 114 0.3× 74 0.3× 144 1.7× 69 0.9× 24 0.4× 78 408
Stephen Frank United States 15 1.0k 2.8× 529 2.3× 36 0.4× 16 0.2× 52 0.8× 35 1.3k
Ryuichi Yokoyama Japan 15 797 2.2× 507 2.2× 31 0.4× 12 0.2× 115 1.7× 146 1.1k
Yingchao Dong China 14 318 0.9× 108 0.5× 40 0.5× 10 0.1× 66 1.0× 24 584
Stefan Vigerske Germany 14 148 0.4× 226 1.0× 148 1.8× 150 1.9× 9 0.1× 31 582

Countries citing papers authored by Lars Schewe

Since Specialization
Citations

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

Fields of papers citing papers by Lars Schewe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Schewe

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Schewe. A scholar is included among the top collaborators of Lars Schewe 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 Lars Schewe. Lars Schewe 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.
Liers, Frauke, et al.. (2022). Robust market equilibria under uncertain cost. European Journal of Operational Research. 302(3). 1230–1241. 1 indexed citations
2.
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
3.
Nadarajah, Ramesh, Chris P Gale, Houyuan Jiang, et al.. (2022). Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality. BMJ Open. 12(6). e059309–e059309. 8 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.
Liers, Frauke, et al.. (2021). Radius of Robust Feasibility for Mixed-Integer Problems. INFORMS journal on computing. 34(1). 243–261. 5 indexed citations
6.
Enright, Jessica, Edward M. Hill, Helena B. Stage, et al.. (2021). SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return. Royal Society Open Science. 8(8). 210310–210310. 10 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.
Göttlich, Simone, Falk M. Hante, Andreas Potschka, & Lars Schewe. (2019). Penalty alternating direction methods for mixed-integer optimal control\n with combinatorial constraints. arXiv (Cornell University). 8 indexed citations
10.
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
11.
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
12.
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
13.
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
14.
Leugering, Günter, et al.. (2018). Towards a lifecycle oriented design of infrastructure by mathematical optimization. Optimization and Engineering. 20(1). 215–249. 1 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.
Egger, Herbert, Martin Groß, Alexander Martín, et al.. (2018). Maximizing the storage capacity of gas networks: a global MINLP approach. Optimization and Engineering. 20(2). 543–573. 16 indexed citations
17.
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
18.
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
19.
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
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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