John R. Talburt

55 papers and 159 indexed citations i.

About

John R. Talburt is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems. According to data from OpenAlex, John R. Talburt has authored 55 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Science and Operations Research, 20 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in John R. Talburt’s work include Data Quality and Management (28 papers), Big Data and Business Intelligence (7 papers) and Data Mining Algorithms and Applications (6 papers). John R. Talburt is often cited by papers focused on Data Quality and Management (28 papers), Big Data and Business Intelligence (7 papers) and Data Mining Algorithms and Applications (6 papers). John R. Talburt collaborates with scholars based in United States, China and India. John R. Talburt's co-authors include Meredith Zozus, Zhan Wang, Ningning Wu, Wei Li, Taiwen Feng, Richard Wang, William Yeoh, Debanjan Mahata, Yufeng Zhou and Thomas C. Redman and has published in prestigious journals such as Scientific Reports, Industrial Management & Data Systems and Information and Software Technology.

In The Last Decade

Co-authorship network of co-authors of John R. Talburt i

Fields of papers citing papers by John R. Talburt

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

Countries citing papers authored by John R. Talburt

Since Specialization
Citations

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

Rankless by CCL
2025