Francis wyffels
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Co-authors
- Benjamin SchrauwenJoni DambreJonas DegraveMichiel HermansLuthffi Idzhar IsmailJan Van den BulckeDavid VerstraetenSofie Meeus
- Topics
- Neural Networks and Reservoir Computing (14 papers)Teaching and Learning Programming (13 papers)Advanced Memory and Neural Computing (9 papers)
- Partner nations
- BelgiumGermanyUnited States
In The Last Decade
Francis wyffels
74 papers receiving 845 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 346
- Electrical and Electronic Engineering 214
- Cognitive Neuroscience 151
- Control and Systems Engineering 131
- Biomedical Engineering 120
Countries citing papers authored by Francis wyffels
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 30 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 22 | |
| 15 | Quadruped Robots Benefit from Compliant Leg Designs | 1 |
| 16 | Spatial chirp-Z transformer networks | 2 |
| 17 | A human-friendly way of programming robots | 2 |
| 18 | A discrete/rhythmic pattern generating RNN | 3 |
| 19 | Robot competitions trick students into learning | 5 |
| 20 | Building robots as a tool to motivate students into an engineering education | 6 |
About Francis wyffels
Francis wyffels is a scholar working on Computer Science Applications, Health Informatics and Ecological Modeling, having authored 80 papers that have together received 883 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (14 papers), Teaching and Learning Programming (13 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Artificial Intelligence (346 citations), Computer Science Applications (43 citations) and Cognitive Neuroscience (151 citations). Francis wyffels has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Benjamin Schrauwen, Joni Dambre, Jonas Degrave, Michiel Hermans, Luthffi Idzhar Ismail, Jan Van den Bulcke, David Verstraeten, Sofie Meeus, Ken Caluwaerts and Tom De Swaef. Their work appears in journals such as Scientific Reports, Global Change Biology and Computers & Education.
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.