Marijn Stollenga

662 total citations
12 papers, 256 citations indexed

About

Marijn Stollenga is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marijn Stollenga has authored 12 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marijn Stollenga's work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Robotic Locomotion and Control (3 papers). Marijn Stollenga is often cited by papers focused on Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Robotic Locomotion and Control (3 papers). Marijn Stollenga collaborates with scholars based in Switzerland and Germany. Marijn Stollenga's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Neural Computation.

In The Last Decade

Marijn Stollenga

11 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marijn Stollenga Switzerland 8 107 105 46 38 34 12 256
Zenghai Chen Hong Kong 10 244 2.3× 102 1.0× 60 1.3× 15 0.4× 30 0.9× 20 475
Jorge Domingo Mendiola-Santibañez Mexico 12 115 1.1× 35 0.3× 76 1.7× 30 0.8× 42 1.2× 43 346
Sukrit Gupta Singapore 8 131 1.2× 85 0.8× 16 0.3× 57 1.5× 59 1.7× 18 321
Aditi Sakalle India 9 71 0.7× 105 1.0× 24 0.5× 16 0.4× 94 2.8× 16 329
Hussam Tarazi United States 8 66 0.6× 107 1.0× 18 0.4× 24 0.6× 17 0.5× 10 331
Chenhui Wang China 9 72 0.7× 77 0.7× 8 0.2× 17 0.4× 12 0.4× 27 246
Tianrong Rao Australia 8 283 2.6× 183 1.7× 10 0.2× 15 0.4× 38 1.1× 19 485
Zaid Omar Malaysia 10 248 2.3× 60 0.6× 53 1.2× 207 5.4× 89 2.6× 53 661
Yun Tie China 12 307 2.9× 79 0.8× 15 0.3× 23 0.6× 58 1.7× 62 453

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
1.
Kompella, Varun Raj, Matthew Luciw, Marijn Stollenga, & Juergen Schmidhuber. (2016). Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. Neural Computation. 28(8). 1599–1662. 2 indexed citations
2.
Stollenga, Marijn, Wonmin Byeon, Marcus Liwicki, & Juergen Schmidhuber. (2015). Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. arXiv (Cornell University). 28. 2998–3006. 117 indexed citations
3.
Kompella, Varun Raj, Marijn Stollenga, Matthew Luciw, & Juergen Schmidhuber. (2015). Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots. Artificial Intelligence. 247. 313–335. 34 indexed citations
4.
Leitner, Jürgen, et al.. (2014). Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids. SHILAP Revista de lepidopterología. 42 indexed citations
5.
Leitner, Jürgen, et al.. (2014). Curiosity driven reinforcement learning for motion planning on humanoids. Frontiers in Neurorobotics. 7. 25–25. 3 indexed citations
6.
Stollenga, Marijn, et al.. (2014). Explore to see, learn to perceive, get the actions for free: SKILLABILITY. 4. 2705–2712. 7 indexed citations
7.
Stollenga, Marijn, et al.. (2013). Task-relevant roadmaps: A framework for humanoid motion planning. 5772–5778. 11 indexed citations
8.
Stollenga, Marijn, et al.. (2013). Task-Relevant Roadmaps: A Framework for Humanoid Motion Planning. QUT ePrints (Queensland University of Technology).
9.
Wiering, Marco, et al.. (2013). The Neural Support Vector Machine. University of Groningen research database (University of Groningen / Centre for Information Technology). 10 indexed citations
10.
Srivastava, Rupesh K., Bas R. Steunebrink, Marijn Stollenga, & Jürgen Schmidhuber. (2012). Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY. 18. 1–6. 4 indexed citations
11.
Kompella, Varun Raj, Matthew Luciw, Marijn Stollenga, Leo Pape, & Jürgen Schmidhuber. (2012). Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis. 102. 1–8. 12 indexed citations
12.
Leitner, Jürgen, et al.. (2012). The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). QUT ePrints (Queensland University of Technology). 304–313. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026