Records Management Journal
About
The 518 papers published in Records Management Journal in the last decades have received a total of 3.6k indexed citations.
Papers published in Records Management Journal usually cover Conservation (293 papers), Information Systems (106 papers) and Management Science and Operations Research (85 papers) specifically the topics of Digital and Traditional Archives Management (288 papers), Data Quality and Management (67 papers) and Personal Information Management and User Behavior (43 papers). The most active scholars publishing in Records Management Journal are Victoria L. Lemieux, Julie McLeod, Elizabeth Lomas, Jóhanna Gunnlaugsdóttir, Brendan E. Asogwa, Frank Upward, Carl W. Newton, Sue Childs, Elizabeth Shepherd and Justus Wamukoya.
In The Last Decade
Fields of papers published in Records Management Journal
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 Records Management Journal. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Records Management Journal
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Records Management Journal. 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 Records Management Journal 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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