Randy Kerber
About
Randy Kerber is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems.
According to data from OpenAlex, Randy Kerber has authored 2 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Information Systems. Recurrent topics in Randy Kerber’s work include Machine Learning and Data Classification (1 paper), Data Mining Algorithms and Applications (1 paper) and Stock Market Forecasting Methods (1 paper). Randy Kerber is often cited by papers focused on Machine Learning and Data Classification (1 paper), Data Mining Algorithms and Applications (1 paper) and Stock Market Forecasting Methods (1 paper). Randy Kerber collaborates with scholars based in United States. Randy Kerber's co-authors include George H. John and Peter Miller and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Randy Kerber
Since SpecializationEngineeringComputer 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 Randy Kerber. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Randy Kerber may publish in the future.
Countries citing papers authored by Randy Kerber
Since SpecializationCitations
This map shows the geographic impact of Randy Kerber'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 Randy Kerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randy Kerber more than expected).
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