Markus Wagner

4.2k total citations
146 papers, 2.3k citations indexed

About

Markus Wagner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Markus Wagner has authored 146 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 36 papers in Computational Theory and Mathematics and 23 papers in Information Systems. Recurrent topics in Markus Wagner's work include Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (29 papers) and Evolutionary Algorithms and Applications (25 papers). Markus Wagner is often cited by papers focused on Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (29 papers) and Evolutionary Algorithms and Applications (25 papers). Markus Wagner collaborates with scholars based in Australia, Germany and United Kingdom. Markus Wagner's co-authors include Frank Neumann, Tobias Friedrich, Shelvin Chand, Mehdi Neshat, Bradley Alexander, Jareth Day, Sergey Polyakovskiy, Martina Zimmermann, Stefan Pilz and A. Gebert and has published in prestigious journals such as NeuroImage, Scientific Reports and Radiology.

In The Last Decade

Markus Wagner

132 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Wagner Australia 27 781 502 416 340 330 146 2.3k
Lingxi Li United States 31 478 0.6× 260 0.5× 388 0.9× 204 0.6× 385 1.2× 187 3.1k
Haiping Ma China 28 1.3k 1.6× 553 1.1× 475 1.1× 113 0.3× 212 0.6× 86 2.5k
Mohammad Dehghani Czechia 25 1.6k 2.0× 567 1.1× 866 2.1× 141 0.4× 230 0.7× 34 3.4k
Yingjie Song China 19 1.0k 1.3× 344 0.7× 443 1.1× 113 0.3× 168 0.5× 61 2.6k
Liying Wang China 17 2.0k 2.5× 891 1.8× 1.1k 2.6× 158 0.5× 248 0.8× 59 4.0k
Dongshu Wang China 4 566 0.7× 179 0.4× 500 1.2× 178 0.5× 122 0.4× 7 2.1k
Abdelazim G. Hussien Egypt 32 2.2k 2.9× 1.0k 2.0× 693 1.7× 136 0.4× 251 0.8× 112 3.8k
Xiaoyan Sun China 30 1.5k 1.9× 751 1.5× 442 1.1× 73 0.2× 257 0.8× 130 3.1k
Xiaodan Wang China 26 769 1.0× 333 0.7× 196 0.5× 147 0.4× 112 0.3× 127 2.7k
Doddy Prayogo Indonesia 22 1.2k 1.5× 860 1.7× 394 0.9× 78 0.2× 260 0.8× 56 2.8k

Countries citing papers authored by Markus Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Wagner. A scholar is included among the top collaborators of Markus Wagner 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 Wagner. Markus Wagner 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.
Baltes, Sebastian, et al.. (2025). Information-theoretic detection of unusual source code changes. Empirical Software Engineering. 30(5). 1 indexed citations
2.
Treude, Christoph, et al.. (2025). Towards resource-efficient reactive and proactive auto-scaling for microservice architectures. Journal of Systems and Software. 225. 112390–112390. 9 indexed citations
3.
Selwyn, Neil, et al.. (2025). “We’re already experts in school, right?”: Supporting students’ construction of future school scenarios. Futures. 166. 103541–103541. 3 indexed citations
4.
Eisenbart, Boris, et al.. (2024). A novel heuristic approach to detect induced forming defects using point cloud scans. Proceedings of the Design Society. 4. 723–734. 1 indexed citations
5.
Treude, Christoph, et al.. (2024). MicroKarta: Visualising Microservice Architectures. Monash University Research Portal (Monash University). 607–611.
6.
Cook, John, et al.. (2024). A technocognitive approach to detecting fallacies in climate misinformation. Scientific Reports. 14(1). 27647–27647. 3 indexed citations
7.
Doan, Anh-Dzung, et al.. (2024). Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Transactions on Intelligent Transportation Systems. 25(9). 11635–11647. 1 indexed citations
8.
Doan, Anh-Dzung, et al.. (2023). Assessing domain gap for continual domain adaptation in object detection. Computer Vision and Image Understanding. 238. 103885–103885. 2 indexed citations
9.
Nguyen, Hung, et al.. (2023). Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(2). 1527–1539. 7 indexed citations
10.
Petke, Justyna, et al.. (2023). Program transformation landscapes for automated program modification using Gin. Empirical Software Engineering. 28(4). 4 indexed citations
11.
Pilz, Stefan, et al.. (2023). Shape optimization of additively manufactured lattices based on triply periodic minimal surfaces. Additive manufacturing. 73. 103659–103659. 32 indexed citations
12.
Wagner, Markus, et al.. (2023). ARTIFICIAL INTELLIGENCE TECHNIQUES FOR IMPROVING CYLINDRICAL SHRINK-FIT SHAFT-HUB COUPLINGS. Proceedings of the Design Society. 3. 645–656. 1 indexed citations
13.
Wagner, Markus, et al.. (2021). Design procedure for triply periodic minimal surface based biomimetic scaffolds. Journal of the mechanical behavior of biomedical materials. 126. 104871–104871. 57 indexed citations
14.
Kaufmann, Joern, et al.. (2019). Anatomically constrained tractography facilitates biologically plausible fiber reconstruction of the optic radiation in multiple sclerosis. NeuroImage Clinical. 22. 101740–101740. 18 indexed citations
15.
Wagner, Markus, et al.. (2019). Population receptive field and connectivity properties of the early visual cortex in human albinism. NeuroImage. 202. 116105–116105. 17 indexed citations
16.
Wagner, Markus, et al.. (2017). A hyperheuristic approach based on low-level heuristics for the travelling thief problem. Genetic Programming and Evolvable Machines. 19(1-2). 121–150. 24 indexed citations
17.
Kawamura, Youhei, Hyongdoo Jang, Markus Wagner, et al.. (2015). Analysis of Radio Wave Propagation in an Urban Environment and its Application to Initial Disaster Response Support. Journal of Disaster Research. 10(4). 655–666. 2 indexed citations
18.
Rupert, Andrew, et al.. (2014). Evaluation of Billing and Tracking Programs Leads to a Hybrid Approach. Journal of Biomolecular Techniques JBT. 25. 1 indexed citations
19.
Bringmann, Karl, Tobias Friedrich, Frank Neumann, & Markus Wagner. (2011). Approximation-guided evolutionary multi-objective optimization. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 50 indexed citations
20.
Fischedick, Manfred, et al.. (2004). Reference power plant North Rhine-Westphalia (RPP NRW). Publication Server of the Wuppertal Institute (Wuppertal Institute). 4 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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