Jan Morén
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Reinforcement Learning in Robotics
Papers in
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- Neural dynamics and brain function 7
- Memory and Neural Mechanisms 3
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- Cognitive Science and Mapping 3
- AI-based Problem Solving and Planning 2
- Reinforcement Learning in Robotics 2
- Co-authors
- Christian Balkenius (9 shared papers)Gordon Cheng (3 shared papers)Ansgar Koene (2 shared papers)Vlad Trifa (1 shared paper)Kenji Doya (4 shared papers)Magnus Johnsson (1 shared paper)Stephen Obrochta (2 shared papers)Aleš Ude (1 shared paper)
In The Last Decade
Jan Morén
17 papers receiving 414 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 186
- Artificial Intelligence 165
- Control and Systems Engineering 110
- Signal Processing 36
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Jan Morén
This map shows the geographic impact of Jan Morén'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 Jan Morén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Morén more than expected).
Fields of papers citing papers by Jan Morén
This network shows the impact of papers produced by Jan Morén. 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 Jan Morén. The network helps show where Jan Morén may publish in the future.
Co-authors
The 15 scholars most cited alongside Jan Morén, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 187 | |
| 2 | 2001 | 45 | |
| 3 | A Computational Model of Emotional Conditioning in the Brain | 1998 | 41 |
| 4 | 1998 | 29 | |
| 5 | 2007 | 26 | |
| 6 | 2009 | 25 | |
| 7 | 1999 | 18 | |
| 8 | 2013 | 15 | |
| 9 | 2008 | 15 | |
| 10 | 2013 | 13 | |
| 11 | From isolated components to cognitive systems | 2003 | 9 |
| 12 | Interactions between Motivation, Emotion and Attention: From Biology to Robotics. | 2009 | 7 |
| 13 | 2008 | 6 | |
| 14 | System-level cognitive modeling with Ikaros | 2007 | 5 |
| 15 | 2015 | 3 | |
| 16 | 2015 | 2 | |
| 17 | The verbal transmission of visual information: An experimental study | 1997 | 1 |
| 18 | 2020 | 0 | |
| 19 | Om reformer : En studie av Kvalitetsreformen, Politireform 2000 og Kunnskapsløftet | 2011 | 0 |
| 20 | 2015 | 0 |
About Jan Morén
Jan Morén is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Control and Systems Engineering, Molecular Biology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 447 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Memory and Neural Mechanisms (3 papers), Cognitive Science and Mapping (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), AI-based Problem Solving and Planning (2 papers), Robot Manipulation and Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (186 citations), Artificial Intelligence (165 citations), Control and Systems Engineering (110 citations), Signal Processing (36 citations) and Computer Vision and Pattern Recognition (47 citations). Jan Morén has collaborated with scholars based in Japan, Iran and Sweden. Frequent co-authors include Christian Balkenius, Gordon Cheng, Ansgar Koene, Vlad Trifa, Kenji Doya, Magnus Johnsson, Stephen Obrochta, Aleš Ude, Yūsuke Yokoyama and Tomohiro Shibata. Their work appears in journals such as Quaternary Geochronology, Advanced Engineering Informatics, BMC Neuroscience, PLoS ONE and Autonomous Robots.
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.