Marijn Stollenga

662 citations
12 papers · 256 indexed · h-index 8
Topics
Robot Manipulation and Learning (6 papers)Reinforcement Learning in Robotics (4 papers)Robotic Locomotion and Control (3 papers)
Journals
SHILAP Revista de lepidopterologíaArtificial IntelligenceNeural Computation
Partner nations
SwitzerlandGermany

In The Last Decade

Marijn Stollenga

11 papers receiving 250 citations

Peers

Marijn Stollenga
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 107
  • Artificial Intelligence 105
  • Control and Systems Engineering 46
  • Biomedical Engineering 38
  • Cognitive Neuroscience 34
Replace Jorge Domingo Mendiola-Santibañez with:
Jorge Domingo Mendiola-Santibañez Mexico
Zaid Omar Malaysia
Sukrit Gupta Singapore
Aditi Sakalle India
Hussam Tarazi United States
Zenghai Chen Hong Kong
Tianrong Rao Australia
Songyuan Li China
E. Kiran Kumar India
Marijn Stollenga relative to Jorge Domingo Mendiola-Santibañez Mexico Jorge Domingo Mendiola-Santibañez's profile →
Citations per field
00.5×4.3×
Jorge Domingo Mendiola-Santibañez · 1×
Citations per year

Countries citing papers authored by Marijn Stollenga

Since Specialization
Citations

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

Fields of papers citing papers by Marijn Stollenga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marijn Stollenga

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 34
3 117
4 42
5 3
6 7
7 11
8 0
9
The Neural Support Vector Machine
10
10 12
11 4
12 14

About Marijn Stollenga

Marijn Stollenga is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 256 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Robotic Locomotion and Control (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (107 citations), Artificial Intelligence (105 citations) and Neurology (26 citations). Marijn Stollenga has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Juergen Schmidhuber, Marcus Liwicki, Wonmin Byeon, Jürgen Schmidhuber, Matthew Luciw, Jürgen Leitner, Varun Raj Kompella, Alexander Förster, Leo Pape and Simon Harding. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Neural Computation.

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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