Richard Dearden
- Artificial Intelligence top 1%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Craig BoutilierMoisés GoldszmidtNir FriedmanStuart RussellFrank HutterJeremy WyattNicolas MeuleauMoritz Göbelbecker
- Topics
- AI-based Problem Solving and Planning (23 papers)Bayesian Modeling and Causal Inference (12 papers)Fault Detection and Control Systems (10 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaProceedings of the IEEE
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Richard Dearden
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 1.2k
- Control and Systems Engineering 369
- Computational Theory and Mathematics 239
- Computer Networks and Communications 202
- Computer Vision and Pattern Recognition 186
Countries citing papers authored by Richard Dearden
This map shows the geographic impact of Richard Dearden'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 Richard Dearden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Dearden more than expected).
Fields of papers citing papers by Richard Dearden
This network shows the impact of papers produced by Richard Dearden. 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 Richard Dearden. The network helps show where Richard Dearden may publish in the future.
Co-authorship network of co-authors of Richard Dearden
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Dearden. A scholar is included among the top collaborators of Richard Dearden 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 Richard Dearden. Richard Dearden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 15 | |
| 3 | Run-time improvement of point-based POMDP policies | 1 |
| 4 | nexus: journal of undergraduate science engineering and technology | 0 |
| 5 | 30 | |
| 6 | 2 | |
| 7 | 30 | |
| 8 | HiPPo: hierarchical POMDPs for planning information processing and sensing actions on a robot | 18 |
| 9 | Flexible futures: the academic librarian | 1 |
| 10 | Planning for AUVs: Dealing with a Continuous Partially-Observable Environment | 2 |
| 11 | 23 | |
| 12 | 49 | |
| 13 | Scaling Up Decision Theoretic Planning to Planetary Rover Problems | 5 |
| 14 | Shared vision, shared responsibility: the vertical integration of information literacy across the Zoology curriculum | 2 |
| 15 | 21 | |
| 16 | Structured Prioritised Sweeping | 6 |
| 17 | Bayesian Q-learning | 181 |
| 18 | Approximate Value Trees in Structured Dynamic Programming. | 32 |
| 19 | Exploiting Structure in Policy Construction | 223 |
| 20 | Using abstractions for decision-theoretic planning with time constraints | 61 |
About Richard Dearden
Richard Dearden is a scholar working on Library and Information Sciences, Artificial Intelligence and Software, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (23 papers), Bayesian Modeling and Causal Inference (12 papers) and Fault Detection and Control Systems (10 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Software (72 citations) and Control and Systems Engineering (369 citations). Richard Dearden has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Craig Boutilier, Moisés Goldszmidt, Nir Friedman, Stuart Russell, Frank Hutter, Jeremy Wyatt, Nicolas Meuleau, Moritz Göbelbecker, Charles Gretton and David André. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Proceedings of the IEEE.
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.