Kathrin Klamroth

3.5k total citations · 1 hit paper
93 papers, 2.2k citations indexed

About

Kathrin Klamroth is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Kathrin Klamroth has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Industrial and Manufacturing Engineering, 34 papers in Computational Theory and Mathematics and 26 papers in Control and Systems Engineering. Recurrent topics in Kathrin Klamroth's work include Vehicle Routing Optimization Methods (30 papers), Advanced Multi-Objective Optimization Algorithms (28 papers) and Facility Location and Emergency Management (21 papers). Kathrin Klamroth is often cited by papers focused on Vehicle Routing Optimization Methods (30 papers), Advanced Multi-Objective Optimization Algorithms (28 papers) and Facility Location and Emergency Management (21 papers). Kathrin Klamroth collaborates with scholars based in Germany, United States and Portugal. Kathrin Klamroth's co-authors include Jochen Gorski, Frank Pfeuffer, Matthias Ehrgott, Margaret M. Wiecek, Kaisa Miettinen, Daniel Vanderpooten, Anita Schöbel, Elisabeth Köbis, Stefan Ruzika and Horst W. Hamacher and has published in prestigious journals such as Journal of Computational Physics, European Journal of Operational Research and Operations Research.

In The Last Decade

Kathrin Klamroth

90 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biconvex sets and optimization with biconvex functions: a survey and extensions

2007 480 citations Kathrin Klamroth et al. Mathematical Methods of Operations Research profile →

Peers

Kathrin Klamroth

CTM

IME

MSOR

CSE

OBHRM

Emilio Carrizosa Spain

Nezam Mahdavi‐Amiri Iran

Frank Plastria Belgium

Michel Minoux France

Oleg A. Prokopyev United States

M. R. Rao United States

Giorgio Gallo Italy

François Margot United States

Jeff Linderoth United States

Arie Tamir Israel

Emilio Carrizosa Spain

Kathrin Klamroth

321 ×0.5

CTM

400 ×0.6

IME

308 ×0.7

MSOR

282 ×0.6

CSE

507 ×1.5

OBHRM

Citations per year, relative to Kathrin Klamroth Kathrin Klamroth (= 1×) peers Emilio Carrizosa

Countries citing papers authored by Kathrin Klamroth

Since Specialization

Citations

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

Fields of papers citing papers by Kathrin Klamroth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathrin Klamroth

This figure shows the co-authorship network connecting the top 25 collaborators of Kathrin Klamroth. A scholar is included among the top collaborators of Kathrin Klamroth 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 Kathrin Klamroth. Kathrin Klamroth 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

1.

Klamroth, Kathrin, et al.. (2025). A greedy hypervolume polychotomic scheme for multiobjective combinatorial optimization. Computers & Operations Research. 183. 107140–107140.

2.

Klamroth, Kathrin, et al.. (2024). Solving the Multiobjective Quasi-clique Problem. European Journal of Operational Research. 323(2). 409–424.

3.

Klamroth, Kathrin, et al.. (2024). A simple, efficient and versatile objective space algorithm for multiobjective integer programming. Mathematical Methods of Operations Research. 100(1). 351–384. 3 indexed citations

4.

Klamroth, Kathrin, et al.. (2024). Consensus-based optimization for multi-objective problems: a multi-swarm approach. Journal of Global Optimization. 89(3). 745–776. 4 indexed citations

5.

Klamroth, Kathrin, et al.. (2024). A tight formulation for the dial-a-ride problem. European Journal of Operational Research. 321(2). 363–382. 2 indexed citations

6.

Ehrhardt, Matthias, et al.. (2023). PINN training using biobjective optimization: The trade-off between data loss and residual loss. Journal of Computational Physics. 488. 112211–112211. 14 indexed citations

7.

Klamroth, Kathrin, et al.. (2023). Efficient dominance filtering for unions and Minkowski sums of non-dominated sets. Computers & Operations Research. 163. 106506–106506. 2 indexed citations

8.

Klamroth, Kathrin, et al.. (2023). Ordinal optimization through multi-objective reformulation. European Journal of Operational Research. 311(2). 427–443. 1 indexed citations

9.

Klamroth, Kathrin, et al.. (2022). Multi-objective matroid optimization with ordinal weights. Discrete Applied Mathematics. 335. 104–119. 2 indexed citations

10.

Nielsen, Lars Relund, et al.. (2020). Branch-and-bound and objective branching with three objectives. 1 indexed citations

11.

Klamroth, Kathrin, et al.. (2019). Multi-objective unconstrained combinatorial optimization: a polynomial bound on the number of extreme supported solutions. Journal of Global Optimization. 74(3). 495–522. 10 indexed citations

12.

Greco, Salvatore, Kathrin Klamroth, Joshua Knowles, & Günter Rudolph. (2015). Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 6 indexed citations

13.

Bock, Stefan & Kathrin Klamroth. (2013). Minimizing sequence-dependent setup costs in feeding batch processes under due date restrictions. Journal of Scheduling. 16(5). 479–494. 5 indexed citations

14.

Martín, Alexander, Kathrin Klamroth, Jens Lang, et al.. (2012). Mathematical optimization of water networks. Springer eBooks. 10 indexed citations

15.

Schwarz, Raphael, et al.. (2007). Registration of PE segment contour deformations in digital high-speed videos. Medical Image Analysis. 12(3). 318–334. 5 indexed citations

16.

Miettinen, Kaisa, et al.. (2007). Interactive learning-oriented decision support tool for nonlinear multiobjective optimization: Pareto navigator. Aaltodoc (Aalto University). 1 indexed citations

17.

Klamroth, Kathrin, et al.. (2003). Unbiased approximation in multicriteria optimization. Mathematical Methods of Operations Research. 56(3). 413–437. 51 indexed citations

18.

Klamroth, Kathrin, et al.. (2002). Norm-based approximation in multicriteria programming. Computers & Mathematics with Applications. 44(7). 925–942. 23 indexed citations

19.

Klamroth, Kathrin, et al.. (1997). A multiple objective planar location problem with a line barrier. Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology). 1 indexed citations

20.

Klamroth, Kathrin, et al.. (1996). Ramsey numbers of K3 versus (p, q)-graphs.. Ars Combinatoria. 43. 1 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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