Klaas Gadeyne

400 total citations
20 papers, 206 citations indexed

About

Klaas Gadeyne is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Klaas Gadeyne has authored 20 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 6 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Klaas Gadeyne's work include Manufacturing Process and Optimization (8 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Design Education and Practice (3 papers). Klaas Gadeyne is often cited by papers focused on Manufacturing Process and Optimization (8 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Design Education and Practice (3 papers). Klaas Gadeyne collaborates with scholars based in Belgium, United States and Austria. Klaas Gadeyne's co-authors include Herman Bruyninckx, Tine Lefebvre, Joris De Schutter, Johan Rutgeerts, Wim Meeussen, Joachim Denil, Hans Vangheluwe, Gregory Pinte, István Dávid and Bart Meyers and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Structural and Multidisciplinary Optimization.

In The Last Decade

Klaas Gadeyne

16 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Klaas Gadeyne Belgium	7	121	63	53	45	43	20	206
Barry Ridge Slovenia	8	172 1.4×	58 0.9×	94 1.8×	35 0.8×	55 1.3×	23	314
Ming‐Shyan Wang Taiwan	10	159 1.3×	35 0.6×	26 0.5×	50 1.1×	38 0.9×	44	336
Andreas Pichler Austria	11	154 1.3×	141 2.2×	29 0.5×	57 1.3×	32 0.7×	51	327
Jānis Ārents Latvia	6	107 0.9×	98 1.6×	29 0.5×	39 0.9×	39 0.9×	14	268
Dionisis Andronas Greece	11	108 0.9×	130 2.1×	15 0.3×	34 0.8×	48 1.1×	20	248
Mathias Haage Sweden	10	247 2.0×	135 2.1×	67 1.3×	134 3.0×	95 2.2×	26	388
Edoardo Lamon Italy	12	173 1.4×	111 1.8×	37 0.7×	84 1.9×	99 2.3×	28	330
Johan Rutgeerts Belgium	6	256 2.1×	69 1.1×	74 1.4×	97 2.2×	78 1.8×	9	293
Anders Blomdell Sweden	10	230 1.9×	65 1.0×	39 0.7×	109 2.4×	79 1.8×	18	335
Thomas Rühr Germany	9	168 1.4×	50 0.8×	99 1.9×	58 1.3×	48 1.1×	16	341

Countries citing papers authored by Klaas Gadeyne

Since Specialization

Citations

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

Fields of papers citing papers by Klaas Gadeyne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaas Gadeyne

This figure shows the co-authorship network connecting the top 25 collaborators of Klaas Gadeyne. A scholar is included among the top collaborators of Klaas Gadeyne 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 Klaas Gadeyne. Klaas Gadeyne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gadeyne, Klaas, et al.. (2024). Guided optimization: a fast model-based nested cost optimization technique for existing product family designs. Structural and Multidisciplinary Optimization. 67(7).

Meyers, Bart, et al.. (2024). Towards a knowledge graph framework for ad hoc analysis in manufacturing. Journal of Intelligent Manufacturing. 35(8). 3731–3752. 3 indexed citations

Meyers, Bart, et al.. (2022). Knowledge Graphs in Digital Twins for Manufacturing - Lessons Learned from an Industrial Case at Atlas Copco Airpower. IFAC-PapersOnLine. 55(10). 13–18. 10 indexed citations

Meyers, Bart, et al.. (2019). A Model-Driven Engineering Framework to Support the Functional Safety Process. PolyPublie (École Polytechnique de Montréal). 619–623. 6 indexed citations

Hehenberger, Peter, et al.. (2018). A Hierarchical Meta-Model for the Design of Cyber-Physical Production Systems. 49. 36–41. 6 indexed citations

Gadeyne, Klaas, et al.. (2017). Model-based Systems Engineering of Discrete Production Lines Using SysML: An Experience Report. Procedia CIRP. 60. 157–162. 6 indexed citations

Dávid, István, Joachim Denil, Klaas Gadeyne, & Hans Vangheluwe. (2016). Engineering process transformation to manage (In)consistency. 7–16. 15 indexed citations

Gadeyne, Klaas, et al.. (2016). Computational design synthesis for conceptual design of robotic assembly cells. 1–8. 4 indexed citations

Gadeyne, Klaas, et al.. (2015). TOWARDS SIMULATION-BASED TESTS OF AUTOMATICALLY GENERATED GEARBOX ARCHITECTURES. Proceedings of the ... International Congress of Mechanical Engineering. 1 indexed citations

10.

Gadeyne, Klaas, et al.. (2014). Describing the design space of mechanical computational design synthesis problems. Advanced Engineering Informatics. 28(3). 198–207. 12 indexed citations

11.

Gadeyne, Klaas, et al.. (2014). Model-based gearbox synthesis. 1(1). 599–605. 5 indexed citations

12.

Bruyninckx, Herman, et al.. (2007). An Open Source Hands-on Course with Real-Time Linux. Lirias (KU Leuven).

13.

Meeussen, Wim, Johan Rutgeerts, Klaas Gadeyne, Herman Bruyninckx, & Joris De Schutter. (2007). Contact-State Segmentation Using Particle Filters for Programming by Human Demonstration in Compliant-Motion Tasks. IEEE Transactions on Robotics. 23(2). 218–231. 51 indexed citations

14.

Meeussen, Wim, Johan Rutgeerts, Klaas Gadeyne, Herman Bruyninckx, & Joris De Schutter. (2006). Particle Filters for Hybrid Event Sensor Fusion with 3D Vision and Force. Lirias (KU Leuven). 518–523. 4 indexed citations

15.

Gadeyne, Klaas, Tine Lefebvre, & Herman Bruyninckx. (2005). Bayesian Hybrid Model-State Estimation Applied to Simultaneous Contact Formation Recognition and Geometrical Parameter Estimation. The International Journal of Robotics Research. 24(8). 615–630. 47 indexed citations

16.

Gadeyne, Klaas. (2005). Sequential Monte Carlo Methods for Rigorous Bayesian Modeling of Autonomous Compliant Motion (Recursieve Monte Carlo methodes voor het autonoom uitvoeren van robottaken in contact). 1 indexed citations

17.

Gadeyne, Klaas, Tine Lefebvre, Herman Bruyninckx, & Joris De Schutter. (2003). A Rigorous Bayesian Approach to Simultaneous Model Selection and State Estimation. Lirias (KU Leuven). 3 indexed citations

18.

Mihaylova, Lyudmila, Tine Lefebvre, Herman Bruyninckx, Klaas Gadeyne, & Joris De Schutter. (2003). A comparison of decision making criteria and optimization methods for active robotic sensing. Lecture notes in computer science. 2542. 316–324. 9 indexed citations

19.

Gadeyne, Klaas, Tine Lefebvre, & Herman Bruyninckx. (2002). An open software framework for Bayesian state and parameter estimation. Lirias (KU Leuven). 91–92.

20.

Gadeyne, Klaas & Herman Bruyninckx. (2001). Markov techniques for object localisation with force-controlled robots. Lirias (KU Leuven). 23 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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