Markus Olhofer

6.0k total citations · 4 hit papers
89 papers, 4.0k citations indexed

About

Markus Olhofer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Markus Olhofer has authored 89 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computational Theory and Mathematics, 44 papers in Artificial Intelligence and 20 papers in Civil and Structural Engineering. Recurrent topics in Markus Olhofer's work include Advanced Multi-Objective Optimization Algorithms (57 papers), Metaheuristic Optimization Algorithms Research (38 papers) and Topology Optimization in Engineering (19 papers). Markus Olhofer is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (57 papers), Metaheuristic Optimization Algorithms Research (38 papers) and Topology Optimization in Engineering (19 papers). Markus Olhofer collaborates with scholars based in Germany, Japan and United Kingdom. Markus Olhofer's co-authors include Yaochu Jin, Bernhard Sendhoff, Ran Cheng, Sebastian Schmitt, Xilu Wang, Nikola Aulig, Mariusz Bujny, Guo Yu, Fabian Duddeck and Tatsuya Okabe and has published in prestigious journals such as International Journal of Heat and Mass Transfer, IEEE Access and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Markus Olhofer

88 papers receiving 3.9k 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.

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

2016 1.2k citations Yaochu Jin, Markus Olhofer et al. IEEE Transactions on Evolutionary Computation profile →
A framework for evolutionary optimization with approximate fitness functions

2002 471 citations Yaochu Jin, Markus Olhofer et al. IEEE Transactions on Evolutionary Computation profile →
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization

2016 286 citations Yaochu Jin, Markus Olhofer et al. IEEE Transactions on Cybernetics profile →
Recent Advances in Bayesian Optimization

2023 191 citations Xilu Wang, Yaochu Jin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Olhofer Germany	25	2.6k	2.2k	606	505	474	89	4.0k
Handing Wang China	31	2.9k 1.1×	3.0k 1.3×	714 1.2×	185 0.4×	245 0.5×	112	4.4k
David A. Van Veldhuizen United States	9	3.0k 1.2×	2.7k 1.2×	552 0.9×	401 0.8×	528 1.1×	18	5.6k
Efrén Mezura‐Montes Mexico	29	3.2k 1.2×	3.9k 1.8×	272 0.4×	308 0.6×	257 0.5×	180	5.6k
Indraneel Das United States	10	1.9k 0.7×	1.1k 0.5×	598 1.0×	341 0.7×	338 0.7×	18	3.4k
Shi-Zheng Zhao Singapore	10	2.1k 0.8×	2.1k 0.9×	307 0.5×	218 0.4×	156 0.3×	16	3.1k
N. Srinivas India	3	2.2k 0.9×	1.7k 0.8×	404 0.7×	544 1.1×	745 1.6×	14	5.5k
Jinhua Zheng China	30	2.6k 1.0×	2.5k 1.1×	551 0.9×	273 0.5×	175 0.4×	160	3.5k
Viviane Grunert da Fonseca Portugal	3	2.0k 0.8×	1.6k 0.7×	441 0.7×	192 0.4×	153 0.3×	5	3.1k
Abhishek Gupta Singapore	34	2.9k 1.1×	3.4k 1.5×	327 0.5×	143 0.3×	205 0.4×	103	4.9k
Hai‐Lin Liu China	25	2.1k 0.8×	2.1k 1.0×	391 0.6×	229 0.5×	108 0.2×	146	3.0k

Countries citing papers authored by Markus Olhofer

Since Specialization

Citations

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

Fields of papers citing papers by Markus Olhofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Olhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Olhofer. A scholar is included among the top collaborators of Markus Olhofer 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 Markus Olhofer. Markus Olhofer 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:

20 of 20 papers shown

Adamy, Jürgen, et al.. (2024). Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations. IEEE Open Journal of Intelligent Transportation Systems. 5. 589–602. 2 indexed citations

Ray, Tapabrata, et al.. (2024). Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. Proceedings of the Genetic and Evolutionary Computation Conference. 340–348. 1 indexed citations

Olhofer, Markus, et al.. (2024). Federated Loss Exploration for Improved Convergence on Non-IID Data. ArXiv.org. 1–8.

Olhofer, Markus, et al.. (2024). Bicriteria Optimisation of Average and Worst-Case Performance Using Coevolutionary Algorithms. 21. 1–8. 1 indexed citations

Ray, Tapabrata, et al.. (2023). Hybridizing TPOT with Bayesian Optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 502–510. 1 indexed citations

Liu, Qiqi, et al.. (2023). Surrogate-Assisted Many-Objective Optimization of Building Energy Management. IEEE Computational Intelligence Magazine. 18(4). 14–28. 10 indexed citations

Singh, Hemant Kumar, Tapabrata Ray, Md Juel Rana, et al.. (2022). Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem. IEEE Access. 10. 115322–115337. 6 indexed citations

Ray, Tapabrata, et al.. (2022). Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information. Applied Soft Computing. 119. 108505–108505. 7 indexed citations

Bujny, Mariusz, et al.. (2022). Multi-objective 3D Path Planning for UAVs in Large-Scale Urban Scenarios. Technischen Universität Darmstadt. 1–8. 11 indexed citations

10.

Yu, Guo, Yaochu Jin, Markus Olhofer, Qiqi Liu, & Wenli Du. (2021). Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Transactions on Cybernetics. 53(4). 2480–2493. 8 indexed citations

11.

Wang, Xilu, Yaochu Jin, Sebastian Schmitt, & Markus Olhofer. (2020). Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. 587–594. 14 indexed citations

12.

Guirguis, David, Nikola Aulig, Renato Picelli, et al.. (2019). Evolutionary Black-Box Topology Optimization: Challenges and Promises. IEEE Transactions on Evolutionary Computation. 24(4). 613–633. 34 indexed citations

13.

Nguyễn, Văn Đức, et al.. (2019). A Review: Prognostics and Health Management in Automotive and Aerospace. International Journal of Prognostics and Health Management. 10(2). 34 indexed citations

14.

Bujny, Mariusz, Nikola Aulig, Markus Olhofer, & Fabian Duddeck. (2018). Learning-based topology variation in evolutionary level set topology optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 825–832. 12 indexed citations

15.

Wang, Handing, Markus Olhofer, & Yaochu Jin. (2017). A mini-review on preference modeling and articulation in multi-objective optimization: current status and challenges. Complex & Intelligent Systems. 3(4). 233–245. 109 indexed citations

16.

Aulig, Nikola & Markus Olhofer. (2016). State-based representation for structural topology optimization and application to crashworthiness. 1642–1649. 20 indexed citations

17.

Menzel, Stefan, Markus Olhofer, & Bernhard Sendhoff. (2010). A METAMODEL-DRIVEN INTERACTIVE FRAMEWORK FOR A DESIGNER ASSISTANCE SYSTEM. 1371–1380. 1 indexed citations

18.

Okabe, Tatsuya, et al.. (2003). Comparative studies on micro heat exchanger optimisation. View. 647–654 Vol.1. 7 indexed citations

19.

Olhofer, Markus, et al.. (2002). Optimisation of Transonic Gas Turbine Blades with Evolution Strategies. 14(1). 203–216. 1 indexed citations

20.

Olhofer, Markus, Yaochu Jin, & Bernhard Sendhoff. (2002). Adaptive encoding for aerodynamic shape optimization using evolution strategies. View. 1. 576–583. 43 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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