Lisa Torrey

2.1k total citations
15 papers, 264 citations indexed

About

Lisa Torrey is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Lisa Torrey has authored 15 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Control and Systems Engineering. Recurrent topics in Lisa Torrey's work include Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (3 papers) and Teaching and Learning Programming (3 papers). Lisa Torrey is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (3 papers) and Teaching and Learning Programming (3 papers). Lisa Torrey collaborates with scholars based in United States and Greece. Lisa Torrey's co-authors include Matthew E. Taylor, Jude Shavlik, Richard Maclin, Trevor Walker, Edward W. Wild, Barton P. Miller, Ioannis Vlahavas, Karen Johnson and Pedro Ponce and has published in prestigious journals such as Software Practice and Experience, Connection Science and National Conference on Artificial Intelligence.

In The Last Decade

Lisa Torrey

13 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa Torrey United States	7	189	67	28	27	24	15	264
Luis G. Martínez Mexico	8	121 0.6×	17 0.3×	24 0.9×	4 0.1×	11 0.5×	22	249
Peter Piela United States	6	37 0.2×	73 1.1×	34 1.2×	8 0.3×	15 0.6×	8	228
Sanmit Narvekar United States	7	168 0.9×	46 0.7×	16 0.6×	4 0.1×	32 1.3×	11	232
Norman Carver United States	9	208 1.1×	15 0.2×	71 2.5×	5 0.2×	27 1.1×	21	293
Seungwan Seo South Korea	9	175 0.9×	25 0.4×	14 0.5×	6 0.2×	23 1.0×	19	316
Rafael C. Cardoso United Kingdom	7	97 0.5×	13 0.2×	33 1.2×	6 0.2×	15 0.6×	37	185
Rodrigo Queiroz Canada	6	88 0.5×	21 0.3×	42 1.5×	4 0.1×	19 0.8×	9	192
Eugenio Bargiacchi Netherlands	4	71 0.4×	18 0.3×	29 1.0×	3 0.1×	11 0.5×	8	190
Johan Källström Sweden	5	83 0.4×	18 0.3×	30 1.1×	4 0.1×	9 0.4×	11	214

Countries citing papers authored by Lisa Torrey

Since Specialization

Citations

This map shows the geographic impact of Lisa Torrey'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 Lisa Torrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Torrey more than expected).

Fields of papers citing papers by Lisa Torrey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Torrey. 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 Lisa Torrey. The network helps show where Lisa Torrey may publish in the future.

Co-authorship network of co-authors of Lisa Torrey

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

All Works

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15 of 15 papers shown

Torrey, Lisa. (2021). Teaching Problem-Solving in Algorithms and AI. Proceedings of the AAAI Conference on Artificial Intelligence. 26(3). 2363–2367. 8 indexed citations

Torrey, Lisa, et al.. (2016). The Turing Test in the Classroom. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 4113–4118. 1 indexed citations

Taylor, Matthew E., et al.. (2014). Reinforcement learning agents providing advice in complex video games. Connection Science. 26(1). 45–63. 41 indexed citations

Torrey, Lisa, et al.. (2013). Teaching on a budget: agents advising agents in reinforcement learning. 1053–1060.

Torrey, Lisa & Matthew E. Taylor. (2013). Teaching on a budget: agents advising agents in reinforcement learning. Adaptive Agents and Multi-Agents Systems. 1053–1060. 71 indexed citations

Torrey, Lisa & Matthew E. Taylor. (2012). Towards student/teacher learning in sequential decision tasks. 1383–1384. 4 indexed citations

Torrey, Lisa. (2011). Student interest and choice in programming assignments. Journal of computing sciences in colleges. 26(6). 110–116. 3 indexed citations

Torrey, Lisa. (2011). Lightweight adaptation in model-based reinforcement learning. National Conference on Artificial Intelligence. 44–49. 1 indexed citations

Torrey, Lisa. (2010). Crowd Simulation Via Multi-Agent Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 6(1). 89–94. 29 indexed citations

10.

Shavlik, Jude & Lisa Torrey. (2009). Relational transfer in reinforcement learning. 3 indexed citations

11.

Torrey, Lisa, Trevor Walker, Richard Maclin, & Jude Shavlik. (2008). Advice Taking and Transfer Learning: Naturally Inspired Extensions to Reinforcement Learning.. National Conference on Artificial Intelligence. 103–110. 1 indexed citations

12.

Maclin, Richard, Edward W. Wild, Jude Shavlik, Lisa Torrey, & Trevor Walker. (2007). Refining rules incorporated into knowledge-based support vector learners via successive linear programming. National Conference on Artificial Intelligence. 584–589. 6 indexed citations

13.

Maclin, Richard, Jude Shavlik, Trevor Walker, & Lisa Torrey. (2006). A simple and effective method for incorporating advice into kernel methods. National Conference on Artificial Intelligence. 427–432. 8 indexed citations

14.

Torrey, Lisa, et al.. (2006). A comparison of interactivity in the Linux 2.6 scheduler and an MLFQ scheduler. Software Practice and Experience. 37(4). 347–364. 27 indexed citations

15.

Maclin, Richard, Jude Shavlik, Lisa Torrey, Trevor Walker, & Edward W. Wild. (2005). Giving advice about preferred actions to reinforcement learners via knowledge-based kernel regression. National Conference on Artificial Intelligence. 819–824. 61 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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