Robert Loftin
Impact in
- Computer Science Applications top 10%
- Open Source Software Innovations
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
Papers in
-
- Reinforcement Learning in Robotics 7
- Machine Learning and Data Classification 2
-
- Robot Manipulation and Learning 3
- Co-authors
- David L. Roberts (10 shared papers)Bei Peng (8 shared papers)Matthew E. Taylor (8 shared papers)James MacGlashan (8 shared papers)Michael L. Littman (8 shared papers)Christian Bird (1 shared paper)Thomas Zimmermann (1 shared paper)Edward K. Smith (1 shared paper)
- Journals
- Journal of Periodontal Research (2 papers)IEEE Intelligent Systems (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Robert Loftin
15 papers receiving 356 citations
Peers
Comparison fields: 5 of 69
- Computer Science Applications 39
- Artificial Intelligence 160
- Human-Computer Interaction 25
- Small Animals 31
- Information Systems 84
Countries citing papers authored by Robert Loftin
This map shows the geographic impact of Robert Loftin'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 Robert Loftin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Loftin more than expected).
Fields of papers citing papers by Robert Loftin
This network shows the impact of papers produced by Robert Loftin. 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 Robert Loftin. The network helps show where Robert Loftin may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Loftin, 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 | 2013 | 91 | |
| 2 | 2014 | 61 | |
| 3 | 2013 | 44 | |
| 4 | 2015 | 43 | |
| 5 | 2017 | 40 | |
| 6 | 2014 | 29 | |
| 7 | 2016 | 16 | |
| 8 | 2014 | 14 | |
| 9 | 1998 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 5 | |
| 12 | Training an Agent to Ground Commands with Reward and Punishment | 2014 | 5 |
| 13 | 2017 | 3 | |
| 14 | 1998 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 0 |
About Robert Loftin
Robert Loftin is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Science Applications and Oral Surgery, having authored 16 papers that have together received 374 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Robot Manipulation and Learning (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Dental Radiography and Imaging (2 papers), Dental Implant Techniques and Outcomes (2 papers), Advanced X-ray and CT Imaging (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computer Science Applications (39 citations), Artificial Intelligence (160 citations), Human-Computer Interaction (25 citations), Small Animals (31 citations) and Information Systems (84 citations). Robert Loftin has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include David L. Roberts, Bei Peng, Matthew E. Taylor, James MacGlashan, Michael L. Littman, Christian Bird, Thomas Zimmermann, Edward K. Smith, Emerson Murphy-Hill and Alper Bozkurt. Their work appears in journals such as Journal of Periodontal Research, IEEE Intelligent Systems, Autonomous Agents and Multi-Agent Systems, IEEE Transactions on Emerging Topics in Computational Intelligence and White Rose Research Online (University of Leeds, The University of Sheffield, University of York).
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.