Emanuel Parzen
About
Emanuel Parzen is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing.
According to data from OpenAlex, Emanuel Parzen has authored 86 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Emanuel Parzen’s work include Time Series Analysis and Forecasting (10 papers), Statistical Methods and Inference (8 papers) and Complex Systems and Time Series Analysis (7 papers). Emanuel Parzen is often cited by papers focused on Time Series Analysis and Forecasting (10 papers), Statistical Methods and Inference (8 papers) and Complex Systems and Time Series Analysis (7 papers). Emanuel Parzen collaborates with scholars based in United States, France and Australia. Emanuel Parzen's co-authors include Mark Priestley, Robert G. Brown, D. M. G. Wishart, Sudhakar M. Pandit, Julius S. Bendat, Spyros Makridakis, A. Andersen, Robert Fildes, Michèle Hibon and Rudolf Lewandowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Econometrica.
In The Last Decade
Co-authorship network of co-authors of Emanuel Parzen i
Fields of papers citing papers by Emanuel Parzen
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 Emanuel Parzen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Emanuel Parzen may publish in the future.
Countries citing papers authored by Emanuel Parzen
Since SpecializationCitations
This map shows the geographic impact of Emanuel Parzen'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 Emanuel Parzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuel Parzen more than expected).
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