Michael D. Geurts

28 papers and 14.2k indexed citations i.

About

Michael D. Geurts is a scholar working on Management Science and Operations Research, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Michael D. Geurts has authored 28 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 7 papers in Statistics and Probability and 3 papers in Economics and Econometrics. Recurrent topics in Michael D. Geurts’s work include Forecasting Techniques and Applications (15 papers), Stock Market Forecasting Methods (6 papers) and Innovation Diffusion and Forecasting (4 papers). Michael D. Geurts is often cited by papers focused on Forecasting Techniques and Applications (15 papers), Stock Market Forecasting Methods (6 papers) and Innovation Diffusion and Forecasting (4 papers). Michael D. Geurts collaborates with scholars based in United States and The Netherlands. Michael D. Geurts's co-authors include Kenneth D. Lawrence, Izani Ibrahim, John Kelly, Gary K. Rhoads and Lois W. Sayrs and has published in prestigious journals such as Journal of Marketing Research, European Journal of Operational Research and Journal of the Academy of Marketing Science.

In The Last Decade

Fields of papers citing papers by Michael D. Geurts

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

Countries citing papers authored by Michael D. Geurts

Since Specialization
Citations

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

Rankless by CCL
2025