Richard Dearden

35 papers and 1.3k indexed citations i.

About

Richard Dearden is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Richard Dearden has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Richard Dearden’s work include AI-based Problem Solving and Planning (17 papers), Bayesian Modeling and Causal Inference (9 papers) and Reinforcement Learning in Robotics (9 papers). Richard Dearden is often cited by papers focused on AI-based Problem Solving and Planning (17 papers), Bayesian Modeling and Causal Inference (9 papers) and Reinforcement Learning in Robotics (9 papers). Richard Dearden collaborates with scholars based in United Kingdom, United States and Canada. Richard Dearden's co-authors include Craig Boutilier, Nicolas Meuleau, Jeremy Wyatt, Rich Washington and Moisés Goldszmidt and has published in prestigious journals such as Journal of Neuroscience, Proceedings of the IEEE and Artificial Intelligence.

In The Last Decade

Fields of papers citing papers by Richard Dearden

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Richard Dearden. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Richard Dearden may publish in the future.

Countries citing papers authored by Richard Dearden

Since Specialization
Citations

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).

Rankless by CCL
2025