Mark Riedl

119 papers and 2.0k indexed citations i.

About

Mark Riedl is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Riedl has authored 119 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Artificial Intelligence, 36 papers in Sociology and Political Science and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Riedl’s work include Artificial Intelligence in Games (72 papers), Digital Games and Media (34 papers) and Topic Modeling (30 papers). Mark Riedl is often cited by papers focused on Artificial Intelligence in Games (72 papers), Digital Games and Media (34 papers) and Topic Modeling (30 papers). Mark Riedl collaborates with scholars based in United States, Canada and Germany. Mark Riedl's co-authors include R. Michael Young, Prithviraj Ammanabrolu, Vadim Bulitko, Alexander Zook, Boyang Li, Brent Harrison, Matthew Guzdial, Stephen Lee-Urban, Lara J. Martin and G W Johnston and has published in prestigious journals such as Communications of the ACM, Journal of the Neurological Sciences and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Mark Riedl i

Fields of papers citing papers by Mark Riedl

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

Countries citing papers authored by Mark Riedl

Since Specialization
Citations

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

Rankless by CCL
2025