Robert Loftin
Impact in
- Computer Science Applications top 10%
- Open Source Software Innovations
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
Papers in
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- Reinforcement Learning in Robotics 7
- Machine Learning and Data Classification 2
- Machine Learning and Algorithms 2
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- Robot Manipulation and Learning 3
- Co-authors
- David L. Roberts (9 shared papers)James MacGlashan (8 shared papers)Bei Peng (8 shared papers)Michael L. Littman (8 shared papers)Matthew E. Taylor (8 shared papers)Edward K. Smith (1 shared paper)Christian Bird (1 shared paper)Thomas Zimmermann (1 shared paper)
- Journals
- Journal of Periodontal Research (2 papers)Autonomous Agents and Multi-Agent Systems (1 paper)IEEE Intelligent Systems (1 paper)IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Robert Loftin
15 papers receiving 349 citations
Peers
Comparison fields: 5 of 68
- Computer Science Applications 46
- Artificial Intelligence 178
- Information Systems 90
- Human-Computer Interaction 22
- Software 14
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 | 96 | |
| 2 | 2014 | 62 | |
| 3 | 2015 | 48 | |
| 4 | 2017 | 48 | |
| 5 | 2014 | 33 | |
| 6 | 2016 | 20 | |
| 7 | 2014 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 1998 | 9 | |
| 10 | 2018 | 6 | |
| 11 | Training an Agent to Ground Commands with Reward and Punishment | 2014 | 6 |
| 12 | 2017 | 3 | |
| 13 | 1998 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 |
About Robert Loftin
Robert Loftin is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Science Applications, Computer Vision and Pattern Recognition and Oral Surgery, having authored 15 papers that have together received 362 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 Implant Techniques and Outcomes (2 papers), Advanced X-ray and CT Imaging (2 papers), Machine Learning and Data Classification (2 papers), Dental Radiography and Imaging (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Computer Science Applications (46 citations), Artificial Intelligence (178 citations), Information Systems (90 citations), Human-Computer Interaction (22 citations) and Software (14 citations). Robert Loftin has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include David L. Roberts, James MacGlashan, Bei Peng, Michael L. Littman, Matthew E. Taylor, Edward K. Smith, Christian Bird, Thomas Zimmermann, Emerson Murphy-Hill and Jeff Huang. Their work appears in journals such as Journal of Periodontal Research, Autonomous Agents and Multi-Agent Systems, IEEE Intelligent Systems, IEEE Transactions on Emerging Topics in Computational Intelligence and Proceedings of the Genetic and Evolutionary Computation Conference.
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.