Public Personnel Management
About
The 1.6k papers published in Public Personnel Management in the last decades have received a total of 20.1k indexed citations.
Papers published in Public Personnel Management usually cover Organizational Behavior and Human Resource Management (356 papers), Public Administration (295 papers) and Sociology and Political Science (246 papers) specifically the topics of Job Satisfaction and Organizational Behavior (243 papers), Public Policy and Administration Research (208 papers) and Labor Movements and Unions (96 papers). The most active scholars publishing in Public Personnel Management are Thomas Li‐Ping Tang, Gary E. Roberts, Dennis Doverspike, Jitendra Mohan Mishra and Pan Suk Kim.
In The Last Decade
Fields of papers published in Public Personnel Management
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 published in Public Personnel Management. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Public Personnel Management
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Public Personnel Management. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Public Personnel Management with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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