Lawrence T. DeCarlo

About

Lawrence T. DeCarlo is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Lawrence T. DeCarlo has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 15 papers in Management Science and Operations Research and 11 papers in Artificial Intelligence. Recurrent topics in Lawrence T. DeCarlo’s work include Advanced Statistical Methods and Models (17 papers), Measurement Invariance in Structural Equation Modeling (10 papers) and Statistical Methods and Bayesian Inference (7 papers). Lawrence T. DeCarlo is often cited by papers focused on Advanced Statistical Methods and Models (17 papers), Measurement Invariance in Structural Equation Modeling (10 papers) and Statistical Methods and Bayesian Inference (7 papers). Lawrence T. DeCarlo collaborates with scholars based in United States and Australia. Lawrence T. DeCarlo's co-authors include David V. Cross, Kisok Kim, Charles I. Abramson, Murray Glanzer and Charles E. Basch and has published in prestigious journals such as Psychological Review, American Journal of Public Health and Behaviour Research and Therapy.

In The Last Decade

Fields of papers citing papers by Lawrence T. DeCarlo

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

Countries citing papers authored by Lawrence T. DeCarlo

Since Specialization

Citations

This map shows the geographic impact of Lawrence T. DeCarlo'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 Lawrence T. DeCarlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence T. DeCarlo more than expected).

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