Jonathan Scholz
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Rebecca SaxeSusan Whitfield‐GabrieliJoseph M. MoranJohn D. E. GabrieliCharles L. IsbellKevin A. PelphreyEmery N. BrownChristina Triantafyllou
- Topics
- Robotic Path Planning Algorithms (7 papers)Reinforcement Learning in Robotics (7 papers)Robot Manipulation and Learning (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jonathan Scholz
14 papers receiving 968 citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 546
- Social Psychology 346
- Artificial Intelligence 208
- Developmental and Educational Psychology 170
- Control and Systems Engineering 156
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-authorship network of co-authors of Jonathan Scholz
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Scholz. A scholar is included among the top collaborators of Jonathan Scholz 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 Jonathan Scholz. Jonathan Scholz 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 | 41 | |
| 3 | A Framework for Data-Driven Robotics | 4 |
| 4 | 14 | |
| 5 | 7 | |
| 6 | A Physics-Based Model Prior for Object-Oriented MDPs | 22 |
| 7 | Policy Shaping: Integrating Human Feedback with Reinforcement Learning | 166 |
| 8 | 13 | |
| 9 | 52 | |
| 10 | 32 | |
| 11 | 26 | |
| 12 | 176 | |
| 13 | 147 | |
| 14 | 68 | |
| 15 | 237 |
About Jonathan Scholz
Jonathan Scholz is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Cognitive Neuroscience, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Reinforcement Learning in Robotics (7 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Cognitive Neuroscience (546 citations), Social Psychology (346 citations) and Developmental and Educational Psychology (170 citations). Jonathan Scholz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rebecca Saxe, Susan Whitfield‐Gabrieli, Joseph M. Moran, John D. E. Gabrieli, Charles L. Isbell, Kevin A. Pelphrey, Emery N. Brown, Christina Triantafyllou, Liane Young and K.A. Subramanian. Their work appears in journals such as PLoS ONE, Child Development and Neuropsychologia.
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.