Daniel H. Grollman
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Mechanical Engineering
- Co-authors
- Odest Chadwicke JenkinsAude BillardBenjamin PitzerGraylin JayHalit Bener SuaySarah OsentoskiFrank WoodChristopher Crick
- Topics
- Reinforcement Learning in Robotics (8 papers)Robot Manipulation and Learning (6 papers)Machine Learning and Algorithms (4 papers)
- Journals
- Journal of Field RoboticsInternational Journal of Social RoboticsInteraction Studies Social Behaviour and Communication in Biological and Artificial Systems
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Daniel H. Grollman
18 papers receiving 391 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 284
- Artificial Intelligence 277
- Computer Vision and Pattern Recognition 63
- Biomedical Engineering 50
- Mechanical Engineering 49
Countries citing papers authored by Daniel H. Grollman
This map shows the geographic impact of Daniel H. Grollman'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 Daniel H. Grollman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Grollman more than expected).
Fields of papers citing papers by Daniel H. Grollman
This network shows the impact of papers produced by Daniel H. Grollman. 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 Daniel H. Grollman. The network helps show where Daniel H. Grollman may publish in the future.
Co-authorship network of co-authors of Daniel H. Grollman
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Grollman. A scholar is included among the top collaborators of Daniel H. Grollman 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 Daniel H. Grollman. Daniel H. Grollman 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 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | Estimating People's Subjective Experiences of Robot Behavior | 2 |
| 6 | 1 | |
| 7 | 57 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 28 | |
| 11 | 46 | |
| 12 | 2 | |
| 13 | 63 | |
| 14 | Teaching old dogs new tricks: incremental multimap regression for interactive robot learning from demonstration | 6 |
| 15 | Wiimote interfaces for lifelong robot learning | 15 |
| 16 | 44 | |
| 17 | 90 | |
| 18 | 22 | |
| 19 | 9 |
About Daniel H. Grollman
Daniel H. Grollman is a scholar working on Control and Systems Engineering, Artificial Intelligence and Information Systems and Management, having authored 19 papers that have together received 419 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Robot Manipulation and Learning (6 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Control and Systems Engineering (284 citations), Artificial Intelligence (277 citations) and Human-Computer Interaction (22 citations). Daniel H. Grollman has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Odest Chadwicke Jenkins, Aude Billard, Benjamin Pitzer, Graylin Jay, Halit Bener Suay, Sarah Osentoski, Frank Wood, Christopher Crick, Tom Williams and Qin Zhu. Their work appears in journals such as Journal of Field Robotics, International Journal of Social Robotics and Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems.
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.