Robert Loftin

650 total citations
16 papers, 374 citations indexed

About

Robert Loftin is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert Loftin has authored 16 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert Loftin's work include Reinforcement Learning in Robotics (7 papers), Robot Manipulation and Learning (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Robert Loftin is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Robot Manipulation and Learning (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Robert Loftin collaborates with scholars based in United States, Netherlands and United Kingdom. Robert Loftin's co-authors include David L. Roberts, James MacGlashan, Bei Peng, Michael L. Littman, Matthew E. Taylor, Thomas Zimmermann, Emerson Murphy-Hill, Edward K. Smith, Christian Bird and Alper Bozkurt and has published in prestigious journals such as Journal of Periodontal Research, IEEE Intelligent Systems and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

Robert Loftin

15 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robert Loftin United States	10	160	84	74	57	39	16	374
John A. Hamilton United States	10	63 0.4×	141 1.7×	19 0.3×	29 0.5×	18 0.5×	60	291
Bernd Brügge Germany	10	55 0.3×	138 1.6×	13 0.2×	9 0.2×	41 1.1×	39	361
Mieso K. Denko Canada	15	74 0.5×	62 0.7×	25 0.3×	13 0.2×	5 0.1×	68	647
Zelin Hu China	9	158 1.0×	200 2.4×	13 0.2×	6 0.1×	11 0.3×	14	419
Nithin Mathews Belgium	8	121 0.8×	27 0.3×	25 0.3×	57 1.0×	17 0.4×	15	524
Eduardo Castelló Ferrer United States	9	64 0.4×	145 1.7×	26 0.4×	29 0.5×	13 0.3×	17	411
Alexander Förster Switzerland	11	164 1.0×	61 0.7×	7 0.1×	97 1.7×	9 0.2×	37	435
Panagiotis Kasnesis Greece	9	37 0.2×	55 0.7×	14 0.2×	5 0.1×	17 0.4×	38	254
António J. R. Neves Portugal	13	178 1.1×	18 0.2×	30 0.4×	23 0.4×	8 0.2×	73	559
Manish Singh India	11	105 0.7×	43 0.5×	12 0.2×	12 0.2×	17 0.4×	39	461

Countries citing papers authored by Robert Loftin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert Loftin

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Loftin. A scholar is included among the top collaborators of Robert Loftin 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 Robert Loftin. Robert Loftin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Loftin, Robert, et al.. (2025). On the Complexity of Learning to Cooperate in Populations of Socially Rational Agents. 233–241.

2.

Loftin, Robert, et al.. (2023). Novelty Seeking Multiagent Evolutionary Reinforcement Learning. Proceedings of the Genetic and Evolutionary Computation Conference. 402–410. 2 indexed citations

3.

Vuong, Quan, et al.. (2019). Better Exploration with Optimistic Actor-Critic. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 32. 1787–1798. 9 indexed citations

4.

Peng, Bei, James MacGlashan, Robert Loftin, et al.. (2018). Curriculum Design for Machine Learners in Sequential Decision Tasks. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(4). 268–277. 5 indexed citations

5.

Peng, Bei, James MacGlashan, Robert Loftin, et al.. (2017). Curriculum Design for Machine Learners in Sequential Decision Tasks. Adaptive Agents and Multi-Agents Systems. 1682–1684. 3 indexed citations

6.

MacGlashan, James, Mark K. Ho, Robert Loftin, et al.. (2017). Interactive Learning from Policy-Dependent Human Feedback. arXiv (Cornell University). 2285–2294. 40 indexed citations

7.

Peng, Bei, James MacGlashan, Robert Loftin, et al.. (2016). A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. Adaptive Agents and Multi-Agents Systems. 957–965. 16 indexed citations

8.

Loftin, Robert, Bei Peng, James MacGlashan, et al.. (2015). Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Autonomous Agents and Multi-Agent Systems. 30(1). 30–59. 43 indexed citations

9.

MacGlashan, James, Michael L. Littman, Robert Loftin, et al.. (2014). Training an Agent to Ground Commands with Reward and Punishment. 5 indexed citations

10.

Bozkurt, Alper, David L. Roberts, Barbara L. Sherman, et al.. (2014). Toward Cyber-Enhanced Working Dogs for Search and Rescue. IEEE Intelligent Systems. 29(6). 32–39. 61 indexed citations

11.

Loftin, Robert, James MacGlashan, Bei Peng, et al.. (2014). A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 29 indexed citations

12.

Loftin, Robert, Bei Peng, James MacGlashan, et al.. (2014). Learning something from nothing: Leveraging implicit human feedback strategies. 607–612. 14 indexed citations

13.

Smith, Edward K., Robert Loftin, Emerson Murphy-Hill, Christian Bird, & Thomas Zimmermann. (2013). Improving developer participation rates in surveys. 89–92. 91 indexed citations

14.

Brugarolas, Rita, Robert Loftin, Pu Yang, et al.. (2013). Behavior recognition based on machine learning algorithms for a wireless canine machine interface. 44 indexed citations

15.

Loftin, Robert, Richard L. Webber, Roger A. Horton, Donald A. Tyndall, & John M. Moriarty. (1998). Effect of projective aspect variations on estimates of changes in bone mass using digital subtraction radiography. Journal of Periodontal Research. 33(6). 352–358. 9 indexed citations

16.

Loftin, Robert, Richard L. Webber, Roger A. Horton, Donald A. Tyndall, & John M. Moriarty. (1998). Effect of projective aspect variations on estimates of changes in bone mass using digital subtraction radiography. Journal of Periodontal Research. 33(3). 352–358. 3 indexed citations

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.

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