Francis wyffels

1.5k total citations
80 papers, 883 citations indexed

About

Francis wyffels is a scholar working on Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Francis wyffels has authored 80 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Control and Systems Engineering and 16 papers in Biomedical Engineering. Recurrent topics in Francis wyffels's work include Neural Networks and Reservoir Computing (14 papers), Teaching and Learning Programming (13 papers) and Advanced Memory and Neural Computing (9 papers). Francis wyffels is often cited by papers focused on Neural Networks and Reservoir Computing (14 papers), Teaching and Learning Programming (13 papers) and Advanced Memory and Neural Computing (9 papers). Francis wyffels collaborates with scholars based in Belgium, Germany and United States. Francis wyffels's co-authors include Benjamin Schrauwen, Joni Dambre, Jonas Degrave, Michiel Hermans, Luthffi Idzhar Ismail, Jan Van den Bulcke, Ken Caluwaerts, Sofie Meeus, David Verstraeten and Tom De Swaef and has published in prestigious journals such as Scientific Reports, Global Change Biology and Computers & Education.

In The Last Decade

Francis wyffels

74 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francis wyffels Belgium 17 346 214 151 131 120 80 883
Kandarpa Kumar Sarma India 18 365 1.1× 311 1.5× 72 0.5× 86 0.7× 111 0.9× 269 1.5k
Mauricio A. Álvarez Colombia 15 471 1.4× 215 1.0× 155 1.0× 178 1.4× 37 0.3× 80 1.3k
Eduardo Alonso United Kingdom 20 348 1.0× 444 2.1× 302 2.0× 366 2.8× 71 0.6× 108 1.5k
Zhiyong Wu China 19 488 1.4× 290 1.4× 46 0.3× 85 0.6× 94 0.8× 141 1.4k
Murat Uyar Türkiye 9 251 0.7× 435 2.0× 180 1.2× 182 1.4× 46 0.4× 21 977
Patrícia A. Vargas United Kingdom 14 177 0.5× 115 0.5× 106 0.7× 79 0.6× 115 1.0× 70 944
Sean Anderson United Kingdom 22 141 0.4× 148 0.7× 182 1.2× 322 2.5× 189 1.6× 98 1.3k
Gyanendra K. Verma India 14 399 1.2× 138 0.6× 340 2.3× 61 0.5× 133 1.1× 37 1.6k
Masahiro Ishii Japan 14 92 0.3× 75 0.4× 164 1.1× 127 1.0× 104 0.9× 74 950
Thomas Schmickl Austria 25 206 0.6× 59 0.3× 46 0.3× 76 0.6× 309 2.6× 150 2.3k

Countries citing papers authored by Francis wyffels

Since Specialization
Citations

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

Fields of papers citing papers by Francis wyffels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis wyffels

This figure shows the co-authorship network connecting the top 25 collaborators of Francis wyffels. A scholar is included among the top collaborators of Francis wyffels 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 Francis wyffels. Francis wyffels 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.
Temmerman, Stijn, et al.. (2025). Development of an Agricultural Robot Taskmap Operation Framework. Journal of Field Robotics. 42(8). 4256–4287. 2 indexed citations
2.
wyffels, Francis, et al.. (2025). Insights for robotic cloth manipulation: A comprehensive analysis of a competition-winning system. International Journal of Advanced Robotic Systems. 22(2).
3.
wyffels, Francis, et al.. (2024). Teachers’ computational thinking content knowledge: Development of a measurement instrument. Computers & Education. 225. 105181–105181. 1 indexed citations
4.
wyffels, Francis, et al.. (2024). Sim-to-Real Dataset of Industrial Metal Objects. Machines. 12(2). 99–99. 3 indexed citations
5.
Furnémont, Raphaël, et al.. (2024). Minimizing torque requirements in robotic manipulation through elastic elements optimization in a physics engine. International Journal of Advanced Robotic Systems. 21(1).
6.
wyffels, Francis, et al.. (2024). Learning Keypoints for Robotic Cloth Manipulation Using Synthetic Data. IEEE Robotics and Automation Letters. 9(7). 6528–6535. 6 indexed citations
7.
Sun, Yu, Berk Çallı, Francis wyffels, et al.. (2024). Robotic Grasping and Manipulation Competition at the 2024 IEEE/RAS International Conference on Robotics and Automation [Competitions]. IEEE Robotics & Automation Magazine. 31(4). 174–185.
8.
wyffels, Francis, et al.. (2023). UnfoldIR: Tactile Robotic Unfolding of Cloth. IEEE Robotics and Automation Letters. 8(8). 4426–4432. 8 indexed citations
9.
Coolsaet, Kris, et al.. (2022). Assessment of Code, Which Aspects Do Teachers Consider and How Are They Valued?. ACM Transactions on Computing Education. 22(4). 1–27. 1 indexed citations
10.
Swaef, Tom De, Irene Borra‐Serrano, Valentin Couvreur, et al.. (2022). On the pivotal role of water potential to model plant physiological processes. Lirias (KU Leuven). 4(1). 30 indexed citations
11.
Sanczuk, Pieter, et al.. (2021). MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications. Sensors. 21(13). 4615–4615. 11 indexed citations
12.
Coolsaet, Kris, et al.. (2021). Comparing learning ecologies of primary graphical programming: create or fix?. Journal of Computer Assisted Learning. 37(5). 1296–1311. 2 indexed citations
13.
wyffels, Francis, et al.. (2021). Modular Piezoresistive Smart Textile for State Estimation of Cloths. Sensors. 22(1). 222–222. 2 indexed citations
14.
wyffels, Francis, et al.. (2020). Simpler Learning of Robotic Manipulation of Clothing by Utilizing DIY Smart Textile Technology. Applied Sciences. 10(12). 4088–4088. 5 indexed citations
15.
Bauters, Marijn, Sofie Meeus, Matti Barthel, et al.. (2020). Century‐long apparent decrease in intrinsic water‐use efficiency with no evidence of progressive nutrient limitation in African tropical forests. Global Change Biology. 26(8). 4449–4461. 22 indexed citations
16.
Willems, Brecht A. G., Jonas Degrave, Joni Dambre, & Francis wyffels. (2017). Quadruped Robots Benefit from Compliant Leg Designs. Ghent University Academic Bibliography (Ghent University). 3091–3091. 1 indexed citations
17.
Degrave, Jonas, Sander Dieleman, Joni Dambre, & Francis wyffels. (2016). Spatial chirp-Z transformer networks. Ghent University Academic Bibliography (Ghent University). 545–550. 2 indexed citations
18.
wyffels, Francis, et al.. (2012). A human-friendly way of programming robots. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
19.
wyffels, Francis, et al.. (2012). A discrete/rhythmic pattern generating RNN. Ghent University Academic Bibliography (Ghent University). 567–572. 3 indexed citations
20.
wyffels, Francis, Michiel Hermans, & Benjamin Schrauwen. (2010). Building robots as a tool to motivate students into an engineering education. Ghent University Academic Bibliography (Ghent University). 49–52. 6 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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