Tine De Moor
About
Tine De Moor is a scholar working on Economics and Econometrics, Computational Theory and Mathematics and Demography.
According to data from OpenAlex, Tine De Moor has authored 58 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 9 papers in Computational Theory and Mathematics and 7 papers in Demography. Recurrent topics in Tine De Moor’s work include Historical Economic and Social Studies (22 papers), Formal Methods in Verification (8 papers) and Petri Nets in System Modeling (8 papers). Tine De Moor is often cited by papers focused on Historical Economic and Social Studies (22 papers), Formal Methods in Verification (8 papers) and Petri Nets in System Modeling (8 papers). Tine De Moor collaborates with scholars based in The Netherlands, Germany and Australia. Tine De Moor's co-authors include Jan Luiten van Zanden, Jörg Raisch, J.M. Davoren, René van Weeren and Giangiacomo Bravo and has published in prestigious journals such as Science, PLoS ONE and Journal of Ecology.
In The Last Decade
Fields of papers citing papers by Tine De Moor
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 Tine De Moor. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tine De Moor may publish in the future.
Countries citing papers authored by Tine De Moor
Since SpecializationCitations
This map shows the geographic impact of Tine De Moor'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 Tine De Moor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tine De Moor more than expected).
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