Mark Chavira

5 papers and 287 indexed citations i.

About

Mark Chavira is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Mark Chavira has authored 5 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Management Science and Operations Research. Recurrent topics in Mark Chavira’s work include Bayesian Modeling and Causal Inference (5 papers), AI-based Problem Solving and Planning (2 papers) and Bayesian Methods and Mixture Models (2 papers). Mark Chavira is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), AI-based Problem Solving and Planning (2 papers) and Bayesian Methods and Mixture Models (2 papers). Mark Chavira collaborates with scholars based in United States and Denmark. Mark Chavira's co-authors include Adnan Darwiche, Manfred Jaeger, Scott Poll, Ole J. Mengshoel, Serdar Uckun, Arthur Choi and David L. Allen and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and International Journal of Approximate Reasoning.

In The Last Decade

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

Fields of papers citing papers by Mark Chavira

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

Countries citing papers authored by Mark Chavira

Since Specialization
Citations

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

Rankless by CCL
2025