Scott Sanner

117 papers and 2.1k indexed citations i.

About

Scott Sanner is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Scott Sanner has authored 117 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 22 papers in Information Systems and 16 papers in Computational Theory and Mathematics. Recurrent topics in Scott Sanner’s work include Bayesian Modeling and Causal Inference (21 papers), Recommender Systems and Techniques (16 papers) and Reinforcement Learning in Robotics (15 papers). Scott Sanner is often cited by papers focused on Bayesian Modeling and Causal Inference (21 papers), Recommender Systems and Techniques (16 papers) and Reinforcement Learning in Robotics (15 papers). Scott Sanner collaborates with scholars based in Canada, Australia and United States. Scott Sanner's co-authors include Lexing Xie, Zheda Mai, William O’Brien, Brent Huchuk, Wray Buntine, Rishabh Mehrotra, Hyunwoo Kim, Ruiwen Li, Craig Boutilier and Jihwan Jeong and has published in prestigious journals such as Trends in biotechnology, Expert Systems with Applications and Energy and Buildings.

In The Last Decade

Co-authorship network of co-authors of Scott Sanner i

Fields of papers citing papers by Scott Sanner

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 Scott Sanner. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Scott Sanner may publish in the future.

Countries citing papers authored by Scott Sanner

Since Specialization
Citations

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

Rankless by CCL
2025