Brian Paciotti

12 papers and 367 indexed citations i.

About

Brian Paciotti is a scholar working on Sociology and Political Science, Safety Research and Cultural Studies. According to data from OpenAlex, Brian Paciotti has authored 12 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 5 papers in Safety Research and 3 papers in Cultural Studies. Recurrent topics in Brian Paciotti’s work include Experimental Behavioral Economics Studies (5 papers), Evolutionary Game Theory and Cooperation (4 papers) and Language and cultural evolution (3 papers). Brian Paciotti is often cited by papers focused on Experimental Behavioral Economics Studies (5 papers), Evolutionary Game Theory and Cooperation (4 papers) and Language and cultural evolution (3 papers). Brian Paciotti collaborates with scholars based in United States and India. Brian Paciotti's co-authors include William M. Baum, Peter J. Richerson, Charles Efferson, Richard McElreath, Mark Lubell, Timothy M. Waring, Craig Hadley, Monique Borgerhoff Mulder, Christopher Holmes and Uma N. Srivatsa and has published in prestigious journals such as The American Journal of Gastroenterology, Alzheimer s & Dementia and Current Anthropology.

In The Last Decade

Co-authorship network of co-authors of Brian Paciotti i

Fields of papers citing papers by Brian Paciotti

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

Countries citing papers authored by Brian Paciotti

Since Specialization
Citations

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

Rankless by CCL
2025