Jonathan Scholz
Impact in
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies
- Psychology of Moral and Emotional Judgment
- Functional Brain Connectivity Studies
- Face Recognition and Perception
- Social Psychology top 5%
- Action Observation and Synchronization
Papers in
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- Robotic Path Planning Algorithms 7
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- Reinforcement Learning in Robotics 7
- Co-authors
- Rebecca Saxe (5 shared papers)Susan Whitfield‐Gabrieli (2 shared papers)John D. E. Gabrieli (1 shared paper)Joseph M. Moran (1 shared paper)Charles L. Isbell (4 shared papers)Kevin A. Pelphrey (1 shared paper)Christina Triantafyllou (1 shared paper)Liane Young (2 shared papers)
- Journals
- Social Cognitive and Affective Neuroscience (1 paper)Science Robotics (1 paper)Neuropsychologia (1 paper)PLoS ONE (1 paper)Social Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jonathan Scholz
14 papers receiving 976 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 531
- Social Psychology 342
- Developmental and Educational Psychology 171
- Experimental and Cognitive Psychology 127
- Control and Systems Engineering 157
Countries citing papers authored by Jonathan Scholz
This map shows the geographic impact of Jonathan Scholz'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 Jonathan Scholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Scholz more than expected).
Fields of papers citing papers by Jonathan Scholz
This network shows the impact of papers produced by Jonathan Scholz. 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 Jonathan Scholz. The network helps show where Jonathan Scholz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Scholz, 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 | 2006 | 238 | |
| 2 | 2009 | 176 | |
| 3 | Policy Shaping: Integrating Human Feedback with Reinforcement Learning | 2013 | 168 |
| 4 | 2009 | 149 | |
| 5 | 2008 | 69 | |
| 6 | 2011 | 53 | |
| 7 | 2021 | 42 | |
| 8 | 2011 | 32 | |
| 9 | 2010 | 26 | |
| 10 | A Physics-Based Model Prior for Object-Oriented MDPs | 2014 | 22 |
| 11 | 2016 | 14 | |
| 12 | 2013 | 13 | |
| 13 | 2015 | 7 | |
| 14 | A Framework for Data-Driven Robotics | 2019 | 4 |
| 15 | 2025 | 1 |
About Jonathan Scholz
Jonathan Scholz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience and Social Psychology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Robotic Path Planning Algorithms (7 papers), Robot Manipulation and Learning (6 papers), Child and Animal Learning Development (2 papers), Psychology of Moral and Emotional Judgment (2 papers), Emotions and Moral Behavior (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Cognitive Neuroscience (531 citations), Social Psychology (342 citations), Developmental and Educational Psychology (171 citations), Experimental and Cognitive Psychology (127 citations) and Control and Systems Engineering (157 citations). Jonathan Scholz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rebecca Saxe, Susan Whitfield‐Gabrieli, John D. E. Gabrieli, Joseph M. Moran, Charles L. Isbell, Kevin A. Pelphrey, Christina Triantafyllou, Liane Young, Emery N. Brown and K.A. Subramanian. Their work appears in journals such as Social Cognitive and Affective Neuroscience, Science Robotics, Neuropsychologia, PLoS ONE and Social Neuroscience.
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.