Robert Givan

4.0k total citations · 1 hit paper
54 papers, 2.3k citations indexed

About

Robert Givan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Robert Givan has authored 54 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 21 papers in Computer Networks and Communications and 13 papers in Computational Theory and Mathematics. Recurrent topics in Robert Givan's work include AI-based Problem Solving and Planning (16 papers), Reinforcement Learning in Robotics (13 papers) and Network Traffic and Congestion Control (11 papers). Robert Givan is often cited by papers focused on AI-based Problem Solving and Planning (16 papers), Reinforcement Learning in Robotics (13 papers) and Network Traffic and Congestion Control (11 papers). Robert Givan collaborates with scholars based in United States, Belgium and South Korea. Robert Givan's co-authors include Alan Fern, Daniel S. Bernstein, Neil Immerman, Shlomo Zilberstein, Thomas Dean, Sung‐Wook Yoon, Sonia M. Leach, Edwin K. P. Chong, David McAllester and Matthew Greig and has published in prestigious journals such as IEEE Transactions on Automatic Control, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Robert Givan

51 papers receiving 2.1k citations

Hit Papers

The Complexity of Decentralized Control of Markov Decisio... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Givan United States 21 1.7k 538 360 337 274 54 2.3k
Steve Hanks United States 19 2.0k 1.1× 487 0.9× 327 0.9× 206 0.6× 167 0.6× 28 2.3k
Michael Georgeff Australia 22 2.3k 1.3× 472 0.9× 253 0.7× 246 0.7× 225 0.8× 53 2.9k
Ronen I. Brafman Israel 28 2.2k 1.3× 950 1.8× 463 1.3× 509 1.5× 303 1.1× 119 3.0k
Matthijs T. J. Spaan Netherlands 23 858 0.5× 345 0.6× 171 0.5× 277 0.8× 259 0.9× 108 1.6k
Ramón López de Mántaras Spain 24 1.3k 0.8× 190 0.4× 281 0.8× 220 0.7× 447 1.6× 110 2.1k
Steven J. Bradtke United States 8 1.1k 0.6× 221 0.4× 548 1.5× 204 0.6× 147 0.5× 8 1.6k
Malcolm Yoke Hean Low Singapore 22 499 0.3× 417 0.8× 168 0.5× 529 1.6× 140 0.5× 150 2.0k
Justin A. Boyan United States 14 854 0.5× 566 1.1× 274 0.8× 254 0.8× 87 0.3× 19 1.5k
Prasad Tadepalli United States 23 1.4k 0.8× 149 0.3× 205 0.6× 158 0.5× 228 0.8× 108 1.7k
Fahiem Bacchus Canada 31 2.7k 1.5× 770 1.4× 714 2.0× 225 0.7× 177 0.6× 79 3.2k

Countries citing papers authored by Robert Givan

Since Specialization
Citations

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

Fields of papers citing papers by Robert Givan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Givan

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

All Works

20 of 20 papers shown
1.
Yoon, Sung‐Wook, Alan Fern, & Robert Givan. (2008). Learning Control Knowledge for Forward Search Planning. Journal of Machine Learning Research. 9(24). 683–718. 51 indexed citations
2.
Yoon, Sung‐Wook, Alan Fern, Robert Givan, & Subbarao Kambhampati. (2008). Probabilistic planning via determinization in hindsight. National Conference on Artificial Intelligence. 1010–1016. 81 indexed citations
3.
Yoon, Sung‐Wook, Alan Fern, & Robert Givan. (2007). FF-Replan: a baseline for probabilistic planning. International Conference on Automated Planning and Scheduling. 352–359. 155 indexed citations
4.
Wu, Jia‐Hong & Robert Givan. (2007). Relational State-Space Feature Learning and Its Applications in Planning.. National Conference on Artificial Intelligence. 88. 1 indexed citations
5.
Yoon, Sung‐Wook, Alan Fern, & Robert Givan. (2007). Using learned policies in heuristic-search planning. International Joint Conference on Artificial Intelligence. 2047–2052. 13 indexed citations
6.
Yoon, Sung‐Wook, Alan Fern, & Robert Givan. (2006). Learning heuristic functions from relaxed plans. International Conference on Automated Planning and Scheduling. 162–170. 24 indexed citations
7.
Zhu, Lin & Robert Givan. (2005). Simultaneous heuristic search for conjunctive subgoals. National Conference on Artificial Intelligence. 1235–1240. 2 indexed citations
8.
Yoon, Sung‐Wook, Alan Fern, & Robert Givan. (2005). Learning measures of progress for planning domains. National Conference on Artificial Intelligence. 1217–1222. 11 indexed citations
9.
Fern, Alan, Sung‐Wook Yoon, & Robert Givan. (2004). Learning domain-specific control knowledge from random walks. International Conference on Automated Planning and Scheduling. 191–198. 38 indexed citations
10.
Fern, Alan, Sung‐Wook Yoon, & Robert Givan. (2003). Approximate Policy Iteration with a Policy Language Bias. Neural Information Processing Systems. 16. 847–854. 50 indexed citations
11.
Fern, Alan, Jeffrey Mark Siskind, & Robert Givan. (2002). Learning temporal, relational, force-dynamic event definitions from video. National Conference on Artificial Intelligence. 159–166. 10 indexed citations
12.
Fern, Alan, Robert Givan, & Jeffrey Mark Siskind. (2002). Specific-to-general learning for temporal events. National Conference on Artificial Intelligence. 152–158. 4 indexed citations
13.
Fern, Alan & Robert Givan. (2000). Online Ensemble Learning: An Empirical Study. International Conference on Machine Learning. 279–286. 16 indexed citations
14.
Chang, Hyeong Soo, Robert Givan, & Edwin K. P. Chong. (2000). On-line scheduling via sampling. 62–71. 43 indexed citations
15.
Dean, Thomas, Robert Givan, & Kee-Eung Kim. (1998). Solving stochastic planning problems with large state and action spaces. 102–110. 10 indexed citations
16.
Givan, Robert & Thomas Dean. (1997). Model minimization, regression, and propositional STRIPS planning. International Joint Conference on Artificial Intelligence. 1163–1168. 8 indexed citations
17.
Dean, Thomas & Robert Givan. (1997). Model minimization in Markov decision processes. National Conference on Artificial Intelligence. 106–111. 108 indexed citations
18.
Givan, Robert. (1997). Obvious properties of computer programs. National Conference on Artificial Intelligence. 404–410.
19.
Givan, Robert & David McAllester. (1992). New Results on Local Inference Relations.. Principles of Knowledge Representation and Reasoning. 403–412. 18 indexed citations
20.
Givan, Robert, et al.. (1991). Natural Language Based Inference Procedures Applied to Schubert''s Steamroller. DSpace@MIT (Massachusetts Institute of Technology). 915–920. 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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