Michael W. Floyd

444 total citations
20 papers, 126 citations indexed

About

Michael W. Floyd is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Michael W. Floyd has authored 20 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Michael W. Floyd's work include AI-based Problem Solving and Planning (14 papers), Multi-Agent Systems and Negotiation (7 papers) and Artificial Intelligence in Games (3 papers). Michael W. Floyd is often cited by papers focused on AI-based Problem Solving and Planning (14 papers), Multi-Agent Systems and Negotiation (7 papers) and Artificial Intelligence in Games (3 papers). Michael W. Floyd collaborates with scholars based in United States and Canada. Michael W. Floyd's co-authors include Babak Esfandiari, David W. Aha, Philip Moore, M. J. Drinkwater, Matthew Molineaux, D. M. Tennant, Gabriel Wainer, Santiago Ontañón, Swaroop Vattam and Dongkyu Choi and has published in prestigious journals such as Applied Intelligence, AI Communications and National Conference on Artificial Intelligence.

In The Last Decade

Michael W. Floyd

18 papers receiving 115 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael W. Floyd United States	7	95	20	19	14	11	20	126
Nicholay Topin United States	5	88 0.9×	16 0.8×	24 1.3×	6 0.4×	6 0.5×	9	143
Ramon Fraga Pereira Brazil	8	176 1.9×	10 0.5×	25 1.3×	12 0.9×	7 0.6×	30	198
Alexander Sasha Vezhnevets United Kingdom	4	107 1.1×	33 1.6×	27 1.4×	4 0.3×	6 0.5×	6	140
Pierre De Loor France	6	51 0.5×	17 0.8×	34 1.8×	43 3.1×	5 0.5×	33	143
Jinjie Ni Singapore	7	204 2.1×	6 0.3×	34 1.8×	14 1.0×	11 1.0×	12	244
R. Andrew McCallum United States	6	77 0.8×	15 0.8×	20 1.1×	7 0.5×	3 0.3×	9	122
Rahul Iyer United States	6	128 1.3×	16 0.8×	17 0.9×	8 0.6×	14 1.3×	13	188
Liangchen Luo China	4	134 1.4×	8 0.4×	53 2.8×	8 0.6×	10 0.9×	7	177
Siddharth Karamcheti United States	7	73 0.8×	29 1.4×	42 2.2×	6 0.4×	6 0.5×	11	114
Célia Martinie France	7	39 0.4×	11 0.6×	19 1.0×	29 2.1×	33 3.0×	23	114

Countries citing papers authored by Michael W. Floyd

Since Specialization

Citations

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

Fields of papers citing papers by Michael W. Floyd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Floyd. 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 Michael W. Floyd. The network helps show where Michael W. Floyd may publish in the future.

Co-authorship network of co-authors of Michael W. Floyd

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

All Works

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20 of 20 papers shown

Gupta, Kalyan Moy, et al.. (2020). Exploiting Text Data to Improve Critical Care Mortality Prediction. 2016. 1–7. 1 indexed citations

Floyd, Michael W. & Babak Esfandiari. (2018). Supplemental observation acquisition for learning by observation agents. Applied Intelligence. 48(11). 4338–4354. 3 indexed citations

Floyd, Michael W., et al.. (2018). Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat. AI Communications. 31(2). 181–195. 4 indexed citations

Floyd, Michael W., et al.. (2017). Towards Deception Detection in a Language-Driven Game.. The Florida AI Research Society. 388–393. 3 indexed citations

Floyd, Michael W., et al.. (2017). Using Deep Learning to Automate Feature Modeling in Learning by Observation.. The Florida AI Research Society. 50–55. 1 indexed citations

Choi, Dongkyu, et al.. (2017). Dynamic Goal Recognition Using Windowed Action Sequences.. National Conference on Artificial Intelligence. 2 indexed citations

Floyd, Michael W., et al.. (2017). Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study.. National Conference on Artificial Intelligence. 2 indexed citations

Floyd, Michael W., et al.. (2017). A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat. 4714–4721. 7 indexed citations

Floyd, Michael W. & David W. Aha. (2017). Using explanations to provide transparency during trust-guided behavior adaptation1. AI Communications. 30(3-4). 281–294. 8 indexed citations

10.

Floyd, Michael W., M. J. Drinkwater, & David W. Aha. (2015). Trust-guided behavior adaptation using case-based reasoning. International Conference on Artificial Intelligence. 4261–4267. 4 indexed citations

11.

Vattam, Swaroop, David W. Aha, & Michael W. Floyd. (2015). Error Tolerant Plan Recognition: An Empirical Investigation. The Florida AI Research Society. 397–403. 1 indexed citations

12.

Molineaux, Matthew, et al.. (2015). Goal Reasoning for an Autonomous Squad Member. 6 indexed citations

13.

Floyd, Michael W., M. J. Drinkwater, & David W. Aha. (2014). Case-Based Behavior Adaptation Using an Inverse Trust Metric. National Conference on Artificial Intelligence. 2 indexed citations

14.

Ontañón, Santiago & Michael W. Floyd. (2013). A Comparison of Case Acquisition Strategies for Learning from Observations of State-Based Experts.. The Florida AI Research Society. 1 indexed citations

15.

Floyd, Michael W., et al.. (2012). Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation. The Florida AI Research Society. 6 indexed citations

16.

Tennant, D. M., et al.. (2012). Spy the Lie: Former CIA Officers Teach You How to Detect Deception. 7 indexed citations

17.

Floyd, Michael W. & Babak Esfandiari. (2011). Supplemental Case Acquisition Using Mixed-Initiative Control. The Florida AI Research Society. 3 indexed citations

18.

Floyd, Michael W. & Babak Esfandiari. (2011). A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation. 7. 531–538. 18 indexed citations

19.

Floyd, Michael W. & Gabriel Wainer. (2010). Creation of DEVS models using imitation learning. Summer Computer Simulation Conference. 334–341. 1 indexed citations

20.

Floyd, Michael W., et al.. (2008). A Case-based Reasoning Approach to Imitating RoboCup Players. The Florida AI Research Society. 251–256. 46 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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