Rob Powers

1.3k total citations
11 papers, 789 citations indexed

About

Rob Powers is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Rob Powers has authored 11 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in Rob Powers's work include Reinforcement Learning in Robotics (8 papers), Game Theory and Applications (6 papers) and Auction Theory and Applications (3 papers). Rob Powers is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Game Theory and Applications (6 papers) and Auction Theory and Applications (3 papers). Rob Powers collaborates with scholars based in United States and France. Rob Powers's co-authors include Yoav Shoham, Trond Grenager, Stan Birchfield, Illah Nourbakhsh, Ira L. Cohen and Moisés Goldszmidt and has published in prestigious journals such as Artificial Intelligence, Machine Learning and AI Magazine.

In The Last Decade

Rob Powers

11 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rob Powers United States	10	403	269	159	148	132	11	789
Janusz Marecki United States	15	362 0.9×	231 0.9×	291 1.8×	34 0.2×	75 0.6×	38	993
Bikramjit Banerjee United States	11	370 0.9×	101 0.4×	96 0.6×	33 0.2×	25 0.2×	44	500
Junling Hu United States	10	538 1.3×	324 1.2×	173 1.1×	43 0.3×	9 0.1×	19	924
Katja Verbeeck Belgium	16	253 0.6×	327 1.2×	144 0.9×	19 0.1×	23 0.2×	60	670
Lukas Esterle Denmark	15	210 0.5×	26 0.1×	301 1.9×	154 1.0×	61 0.5×	63	677
Guiyi Wei China	20	757 1.9×	87 0.3×	979 6.2×	107 0.7×	30 0.2×	91	1.7k
Noam Hazon Israel	14	121 0.3×	195 0.7×	268 1.7×	318 2.1×	186 1.4×	40	705
Abid Mehmood United Arab Emirates	13	331 0.8×	18 0.1×	173 1.1×	219 1.5×	94 0.7×	32	773
Lidan Shou China	18	479 1.2×	78 0.3×	260 1.6×	227 1.5×	27 0.2×	110	1.2k
Marie-Pierre Gleizes France	11	421 1.0×	87 0.3×	233 1.5×	49 0.3×	14 0.1×	37	750

Countries citing papers authored by Rob Powers

Since Specialization

Citations

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

Fields of papers citing papers by Rob Powers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Powers

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

All Works

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11 of 11 papers shown

1.

Shoham, Yoav, Rob Powers, & Trond Grenager. (2007). If multi-agent learning is the answer, what is the question?. Artificial Intelligence. 171(7). 365–377. 207 indexed citations

2.

Powers, Rob, et al.. (2006). Learning against multiple opponents. 752–759. 9 indexed citations

3.

Powers, Rob, et al.. (2006). A general criterion and an algorithmic framework for learning in multi-agent systems. Machine Learning. 67(1-2). 45–76. 28 indexed citations

4.

Powers, Rob & Yoav Shoham. (2005). Learning against opponents with bounded memory. International Joint Conference on Artificial Intelligence. 817–822. 46 indexed citations

5.

Powers, Rob, Moisés Goldszmidt, & Ira L. Cohen. (2005). Short term performance forecasting in enterprise systems. 801–807. 48 indexed citations

6.

Shoham, Yoav, Rob Powers, & Trond Grenager. (2004). On the Agenda(s) of Research on Multi-Agent Learning.. National Conference on Artificial Intelligence. 89–95. 17 indexed citations

7.

Powers, Rob & Yoav Shoham. (2004). New Criteria and a New Algorithm for Learning in Multi-Agent Systems. Neural Information Processing Systems. 17. 1089–1096. 60 indexed citations

8.

Shoham, Yoav, Rob Powers, & Trond Grenager. (2003). Multi-Agent Reinforcement Learning:a critical survey. 155 indexed citations

9.

Grenager, Trond, Rob Powers, & Yoav Shoham. (2002). Dispersion games: general definitions and some specific learning results. National Conference on Artificial Intelligence. 398–403. 23 indexed citations

10.

Nourbakhsh, Illah, Rob Powers, & Stan Birchfield. (1995). DERVISH An Office-Navigating Robot. AI Magazine. 16(2). 53–60. 194 indexed citations

11.

Powers, Rob. (1975). Quantization Errors in Computer-Generated Holograms.. 2 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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