Sören Bergmann

518 total citations
33 papers, 327 citations indexed

About

Sören Bergmann is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sören Bergmann has authored 33 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 17 papers in Industrial and Manufacturing Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sören Bergmann's work include Simulation Techniques and Applications (23 papers), Scheduling and Optimization Algorithms (10 papers) and Flexible and Reconfigurable Manufacturing Systems (8 papers). Sören Bergmann is often cited by papers focused on Simulation Techniques and Applications (23 papers), Scheduling and Optimization Algorithms (10 papers) and Flexible and Reconfigurable Manufacturing Systems (8 papers). Sören Bergmann collaborates with scholars based in Germany. Sören Bergmann's co-authors include Steffen Straßburger, Thomas G. Schulze, Volker Nissen and Sven Spieckermann and has published in prestigious journals such as ACM Transactions on Modeling and Computer Simulation, Journal of Simulation and Zeitschrift für wirtschaftlichen Fabrikbetrieb.

In The Last Decade

Sören Bergmann

31 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sören Bergmann Germany 11 177 140 80 45 36 33 327
Leonardo Chwif Brazil 9 145 0.8× 146 1.0× 75 0.9× 12 0.3× 11 0.3× 28 319
Ho Soo Lee United States 10 86 0.5× 135 1.0× 122 1.5× 65 1.4× 13 0.4× 14 343
Richard Conway United States 7 253 1.4× 81 0.6× 166 2.1× 54 1.2× 17 0.5× 14 453
Emir Žunić Bosnia and Herzegovina 8 102 0.6× 46 0.3× 28 0.3× 55 1.2× 15 0.4× 35 270
Jana-Rebecca Rehse Germany 7 68 0.4× 85 0.6× 203 2.5× 116 2.6× 12 0.3× 26 366
Alexandra Mazak Austria 10 176 1.0× 34 0.2× 66 0.8× 65 1.4× 13 0.4× 36 328
Mirko Kück Germany 12 288 1.6× 73 0.5× 71 0.9× 42 0.9× 7 0.2× 19 449
Denise Maria Vecino Sato Brazil 7 104 0.6× 61 0.4× 215 2.7× 92 2.0× 6 0.2× 15 340
Rihan Hai Netherlands 7 44 0.2× 121 0.9× 39 0.5× 106 2.4× 16 0.4× 27 323
Markus Graube Germany 10 167 0.9× 18 0.1× 65 0.8× 82 1.8× 16 0.4× 36 303

Countries citing papers authored by Sören Bergmann

Since Specialization
Citations

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

Fields of papers citing papers by Sören Bergmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sören Bergmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sören Bergmann. A scholar is included among the top collaborators of Sören Bergmann 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 Sören Bergmann. Sören Bergmann 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.
Bergmann, Sören, et al.. (2022). Data Farming und Wissensentdeckung in Simulationsdaten. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 117(3). 144–150. 1 indexed citations
2.
Bergmann, Sören, et al.. (2022). A Method Using Generative Adversarial Networks for Robustness Optimization. ACM Transactions on Modeling and Computer Simulation. 32(2). 1–22. 3 indexed citations
3.
4.
Bergmann, Sören, et al.. (2020). Simulation-Based Deep Reinforcement Learning For Modular Production Systems. 1596–1607. 16 indexed citations
5.
Bergmann, Sören, et al.. (2018). Bilevel innovization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 197–198. 2 indexed citations
6.
Bergmann, Sören, et al.. (2017). Knowledge discovery in simulation data — A case study for a backhoe assembly line. 2017 Winter Simulation Conference (WSC). 4456–4458. 5 indexed citations
7.
Bergmann, Sören, et al.. (2017). Online Analysis of Simulation Data with Stream-based Data Mining. 241–248. 10 indexed citations
8.
Bergmann, Sören, et al.. (2017). Knowledge discovery and robustness analysis in manufacturing simulations. 2017 Winter Simulation Conference (WSC). 3952–3963. 6 indexed citations
9.
Bergmann, Sören, et al.. (2016). Knowledge discovery in simulation data: a case study of a gold mining facility. Winter Simulation Conference. 1607–1618. 5 indexed citations
10.
Bergmann, Sören, et al.. (2015). Approximation of dispatching rules for manufacturing simulation using data mining methods. Winter Simulation Conference. 2329–2340. 10 indexed citations
11.
Bergmann, Sören, et al.. (2015). Visual analytics of manufacturing simulation data. Winter Simulation Conference. 779–790. 8 indexed citations
12.
Bergmann, Sören. (2015). On the use of the Core Manufacturing Simulation Data (CMSD) standard: experiences and recommendations. Common Library Network (Der Gemeinsame Bibliotheksverbund). 9 indexed citations
13.
Bergmann, Sören, et al.. (2015). Visual analytics of manufacturing simulation data. 2015 Winter Simulation Conference (WSC). 779–790. 10 indexed citations
14.
Bergmann, Sören, et al.. (2013). On the use of artificial neural networks in simulation-based manufacturing control. Journal of Simulation. 8(1). 76–90. 30 indexed citations
15.
Bergmann, Sören, et al.. (2012). Model generation in SLX using CMSD and XML stylesheet transformations. Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC). 1–11. 6 indexed citations
16.
Bergmann, Sören, et al.. (2012). A new web based method for distribution of simulation experiments based on the CMSD standard. Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC). 1–12. 1 indexed citations
17.
Bergmann, Sören. (2011). Automatische Generierung adaptiver und lernfähiger Modelle zur Simulation von Produktionssystemen. Common Library Network (Der Gemeinsame Bibliotheksverbund). 2 indexed citations
18.
Bergmann, Sören, et al.. (2011). Initialization of simulation models using CMSD. Winter Simulation Conference. 2228–2239. 1 indexed citations
19.
Bergmann, Sören, et al.. (2011). Approximation of Dispatching Rules in Manufacturing Control Using Artificial Neural Networks. 1–8. 5 indexed citations
20.
Bergmann, Sören & Steffen Straßburger. (2010). Challenges for the automatic generation of simulation models for production systems. Summer Computer Simulation Conference. 545–549. 45 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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