Thomas Ponsignon

447 total citations
36 papers, 323 citations indexed

About

Thomas Ponsignon is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Thomas Ponsignon has authored 36 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 16 papers in Management Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Thomas Ponsignon's work include Scheduling and Optimization Algorithms (23 papers), Flexible and Reconfigurable Manufacturing Systems (12 papers) and Manufacturing Process and Optimization (9 papers). Thomas Ponsignon is often cited by papers focused on Scheduling and Optimization Algorithms (23 papers), Flexible and Reconfigurable Manufacturing Systems (12 papers) and Manufacturing Process and Optimization (9 papers). Thomas Ponsignon collaborates with scholars based in Germany, United States and Taiwan. Thomas Ponsignon's co-authors include Lars Mönch, Hans Ehm, John Fowler, Thomas Kaufmann, Chen–Fu Chien, Stéphane Dauzère‐Pérès, Santiago Nieto Isaza, Iris Lorscheid, Arunachalam Narayanan and Matthias Meyer and has published in prestigious journals such as Applied Soft Computing, Computers & Operations Research and Omega.

In The Last Decade

Thomas Ponsignon

34 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Ponsignon Germany 10 227 137 77 64 35 36 323
Grace Lin United States 5 165 0.7× 251 1.8× 102 1.3× 69 1.1× 57 1.6× 8 346
Leyla Demir Türkiye 9 262 1.2× 114 0.8× 76 1.0× 120 1.9× 19 0.5× 16 394
Daniel Sipper Israel 6 166 0.7× 104 0.8× 63 0.8× 49 0.8× 50 1.4× 8 285
Geoffrey A. Chua Singapore 8 130 0.6× 254 1.9× 126 1.6× 63 1.0× 41 1.2× 21 361
Avigdor Zonnenshain Israel 6 138 0.6× 114 0.8× 69 0.9× 19 0.3× 24 0.7× 28 247
Omogbai Oleghe United Kingdom 11 85 0.4× 145 1.1× 102 1.3× 56 0.9× 25 0.7× 17 289
Georges Habchi France 9 104 0.5× 131 1.0× 48 0.6× 31 0.5× 10 0.3× 30 270
Thierry Moyaux France 8 146 0.6× 138 1.0× 106 1.4× 62 1.0× 16 0.5× 21 325
Julia C. Arlinghaus Germany 9 109 0.5× 53 0.4× 69 0.9× 19 0.3× 37 1.1× 46 246
Franck Fontanili France 8 114 0.5× 92 0.7× 38 0.5× 48 0.8× 11 0.3× 26 240

Countries citing papers authored by Thomas Ponsignon

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Ponsignon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Ponsignon

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Ponsignon. A scholar is included among the top collaborators of Thomas Ponsignon 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 Thomas Ponsignon. Thomas Ponsignon 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.
Chien, Chen–Fu, et al.. (2023). A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry. Applied Soft Computing. 149. 110976–110976. 15 indexed citations
2.
Ponsignon, Thomas, et al.. (2020). Characterizing Customer Ordering Behaviors in Semiconductor Supply Chains with Convolutional Neural Networks. 19. 1931–1942. 2 indexed citations
3.
Ponsignon, Thomas, et al.. (2020). Modelling and Mathematical Optimization for Capacity Planning of a Semiconductor Wafer Test Module. 1910–1920. 2 indexed citations
4.
5.
Ehm, Hans, et al.. (2018). Flexibility as an enabler for carbon dioxide reduction in a global supply chain: a case study from the semiconductor industry. Winter Simulation Conference. 3408–3419. 1 indexed citations
6.
Dauzère‐Pérès, Stéphane, et al.. (2018). GENERIC DATA MODEL FOR SEMICONDUCTOR MANUFACTURING SUPPLY CHAINS. 2018 Winter Simulation Conference (WSC). 3615–3626. 10 indexed citations
7.
Lorscheid, Iris, et al.. (2017). On agent-based modeling in semiconductor supply chain planning. Winter Simulation Conference. 3507–3518.
8.
Mönch, Lars, et al.. (2017). A Testbed for Simulating Semiconductor Supply Chains. IEEE Transactions on Semiconductor Manufacturing. 30(3). 293–305. 26 indexed citations
9.
Lorscheid, Iris, et al.. (2017). On agent-based modeling in semiconductor supply chain planning. 2017 Winter Simulation Conference (WSC). 3507–3518. 2 indexed citations
10.
Ponsignon, Thomas, et al.. (2017). Simulating recovery strategies to enhance the resilience of a semiconductor supply network. 2017 Winter Simulation Conference (WSC). 4477–4478. 6 indexed citations
11.
Fowler, John, Lars Mönch, & Thomas Ponsignon. (2015). DISCRETE-EVENT SIMULATION FOR SEMICONDUCTOR WAFER FABRICATION FACILITIES: A TUTORIAL. International journal of industrial engineering. 22(5). 661–682. 38 indexed citations
12.
Ponsignon, Thomas, et al.. (2015). Complexity analysis through the modeling of human behavior in a complex supply chain planning environment. 2015 Winter Simulation Conference (WSC). 38. 2917–2928. 1 indexed citations
13.
Ponsignon, Thomas, et al.. (2014). Towards a semiconductor supply chain simulation library (SCSC-SIMLIB). Winter Simulation Conference. 2522–2532. 7 indexed citations
14.
Ponsignon, Thomas & Lars Mönch. (2012). Using iterative simulation to incorporate load-dependent lead times in master planning heuristics. Winter Simulation Conference. 188. 5 indexed citations
15.
Ponsignon, Thomas & Lars Mönch. (2012). Using iterative simulation to incorporate load-dependent lead times in master planning heuristics. Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC). 1. 1–12. 3 indexed citations
16.
Ehm, Hans, et al.. (2011). Towards a supply chain simulation reference model for the semiconductor industry. Winter Simulation Conference. 2124–2135. 14 indexed citations
17.
Ehm, Hans, et al.. (2010). A discussion of object-oriented process modeling approaches for discrete manufacturing on the example of the semiconductor industry. Winter Simulation Conference. 2553–2562. 2 indexed citations
18.
Ponsignon, Thomas & Lars Mönch. (2010). Architecture for simulation-based performance assessment of planning approaches in semiconductor manufacturing. Winter Simulation Conference. 3341–3349. 4 indexed citations
19.
Ehm, Hans, et al.. (2010). A discussion of object-oriented process modeling approaches for discrete manufacturing on the example of the semiconductor industry. Proceedings of the 2010 Winter Simulation Conference. 2553–2562. 2 indexed citations
20.
Mönch, Lars, et al.. (2008). Optimierungsbasierte Verfahren für die kurzfristige Bedarfsvorhersage in der Hochtechnologiebranche. 113–128. 2 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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