Tobias Wagner

2.3k total citations
31 papers, 657 citations indexed

About

Tobias Wagner is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Tobias Wagner has authored 31 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 12 papers in Artificial Intelligence and 9 papers in Mechanical Engineering. Recurrent topics in Tobias Wagner's work include Advanced Multi-Objective Optimization Algorithms (14 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Manufacturing Process and Optimization (6 papers). Tobias Wagner is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (14 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Manufacturing Process and Optimization (6 papers). Tobias Wagner collaborates with scholars based in Germany, France and United Kingdom. Tobias Wagner's co-authors include Victor Picheny, David Ginsbourger, Heike Trautmann, Dimo Brockhoff, Dirk Biermann, Wolfgang Ponweiser, Markus Vincze, Jörn Mehnen, Günter Rudolph and Michael Emmerich and has published in prestigious journals such as Physics in Medicine and Biology, IEEE Transactions on Evolutionary Computation and Applied Soft Computing.

In The Last Decade

Tobias Wagner

29 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tobias Wagner Germany 12 428 305 183 126 80 31 657
Dan Guo China 5 540 1.3× 527 1.7× 131 0.7× 37 0.3× 64 0.8× 8 781
Stephen J. Leary United Kingdom 8 331 0.8× 92 0.3× 146 0.8× 181 1.4× 73 0.9× 9 521
Liye Lv China 12 250 0.6× 90 0.3× 118 0.6× 200 1.6× 99 1.2× 27 516
Ravindra V. Tappeta United States 10 388 0.9× 72 0.2× 158 0.9× 209 1.7× 107 1.3× 25 616
Takao Yokota Japan 11 114 0.3× 96 0.3× 48 0.3× 87 0.7× 127 1.6× 25 520
Haibo Yu China 9 287 0.7× 326 1.1× 43 0.2× 57 0.5× 75 0.9× 39 881
Shubin Tan China 16 302 0.7× 327 1.1× 48 0.3× 19 0.2× 91 1.1× 71 684
Brett Wujek United States 10 311 0.7× 39 0.1× 111 0.6× 213 1.7× 91 1.1× 18 477
João A. Duro United Kingdom 7 217 0.5× 201 0.7× 69 0.4× 20 0.2× 82 1.0× 13 410

Countries citing papers authored by Tobias Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Wagner. A scholar is included among the top collaborators of Tobias 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 Tobias Wagner. Tobias 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.
Pollitt, Stephan, et al.. (2024). Mn-promoted MoS2 catalysts for CO2 hydrogenation: enhanced methanol selectivity due to MoS2/MnOx interfaces. Catalysis Science & Technology. 14(5). 1138–1147. 8 indexed citations
2.
Wagner, Tobias, Markus M. Lerch, Frank Lammert, et al.. (2023). Kosten potenziell ambulant erbringbarer endoskopischer Leistungen in Fällen mit 1-Tages-Verweildauer gegenüber einer längeren Verweildauer. Zeitschrift für Gastroenterologie. 61(5). 504–514. 1 indexed citations
3.
Wagner, Tobias, Lesley Cockmartin, Nicholas Marshall, et al.. (2023). Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout. Physics in Medicine and Biology. 68(11). 115007–115007. 13 indexed citations
4.
Wagner, Tobias, Christina Magnussen, A. Bernhardt, et al.. (2022). Impact of diastolic pulmonary gradient and pulmonary artery pulse index on outcomes in heart transplant patients—Results from the Eurotransplant database. Frontiers in Cardiovascular Medicine. 9. 1036547–1036547.
5.
Auger, Anne, et al.. (2016). GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016). 1167–1167. 2 indexed citations
6.
Wagner, Tobias, et al.. (2016). Key performance indicators for the evaluation of an air navigation service providers' safety management system. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
7.
Koch, Patrick, Tobias Wagner, Michael Emmerich, Thomas Bäck, & Wolfgang Konen. (2015). Efficient multi-criteria optimization on noisy machine learning problems. Applied Soft Computing. 29. 357–370. 22 indexed citations
8.
Brockhoff, Dimo & Tobias Wagner. (2015). Tutorial on Evolutionary Multiobjective Optimization. 37–63. 4 indexed citations
9.
Bossek, Jakob, Bernd Bischl, Tobias Wagner, & Günter Rudolph. (2015). Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. 1319–1326. 2 indexed citations
10.
Brockhoff, Dimo, Tobias Wagner, & Heike Trautmann. (2014). 2 Indicator-Based Multiobjective Search. Evolutionary Computation. 23(3). 369–395. 70 indexed citations
11.
Trautmann, Heike, Tobias Wagner, Dirk Biermann, & Claus Weihs. (2013). Indicator‐based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index. Journal of Multi-Criteria Decision Analysis. 20(5-6). 319–337. 11 indexed citations
12.
Klein, Laura Cousino, Tobias Wagner, Christoph Buchheim, & Dirk Biermann. (2013). A procedure for the evaluation and compensation of form errors by means of global isometric registration with subsequent local reoptimization. Production Engineering. 8(1-2). 81–89. 5 indexed citations
13.
Picheny, Victor, Tobias Wagner, & David Ginsbourger. (2013). A benchmark of kriging-based infill criteria for noisy optimization. Structural and Multidisciplinary Optimization. 48(3). 607–626. 218 indexed citations
14.
Wagner, Tobias, et al.. (2010). Empirical modeling of hard turning of AISI 6150 steel using design and analysis of computer experiments. Production Engineering. 4(2-3). 115–125. 23 indexed citations
15.
Wagner, Tobias & Heike Trautmann. (2010). Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions. IEEE Transactions on Evolutionary Computation. 14(5). 688–701. 76 indexed citations
16.
Wagner, Tobias & Heike Trautmann. (2010). Online convergence detection for evolutionary multi-objective algorithms revisited. 1–8. 14 indexed citations
17.
Wagner, Tobias, et al.. (2010). Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements. AStA Advances in Statistical Analysis. 94(4). 389–404. 6 indexed citations
18.
Ponweiser, Wolfgang, Tobias Wagner, & Markus Vincze. (2008). Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models. 3515–3522. 65 indexed citations
19.
Wagner, Tobias, et al.. (2007). On the design of optimisers for surface reconstruction. 2195–2202. 11 indexed citations
20.
Mehnen, Jörn, Rajkumar Roy, P. Kersting, & Tobias Wagner. (2007). ICSPEA. 9. 2122–2128. 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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