Michael G. Akritas

102 papers and 3.6k indexed citations i.

About

Michael G. Akritas is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Michael G. Akritas has authored 102 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Statistics and Probability, 25 papers in Management Science and Operations Research and 12 papers in Artificial Intelligence. Recurrent topics in Michael G. Akritas’s work include Statistical Methods and Inference (54 papers), Advanced Statistical Methods and Models (52 papers) and Statistical Methods and Bayesian Inference (30 papers). Michael G. Akritas is often cited by papers focused on Statistical Methods and Inference (54 papers), Advanced Statistical Methods and Models (52 papers) and Statistical Methods and Bayesian Inference (30 papers). Michael G. Akritas collaborates with scholars based in United States, Germany and Greece. Michael G. Akritas's co-authors include Steven F. Arnold, Ingrid Van Keilegom, Edgar Brunner, Michael P. LaValley and Haiyan Wang and has published in prestigious journals such as The Astrophysical Journal, Journal of the American Statistical Association and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Fields of papers citing papers by Michael G. Akritas

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

Countries citing papers authored by Michael G. Akritas

Since Specialization
Citations

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

Rankless by CCL
2025