Michael J. Pazzani
About
Michael J. Pazzani is a scholar working on Artificial Intelligence, Information Systems and Signal Processing.
According to data from OpenAlex, Michael J. Pazzani has authored 88 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 27 papers in Information Systems and 17 papers in Signal Processing. Recurrent topics in Michael J. Pazzani’s work include AI-based Problem Solving and Planning (17 papers), Machine Learning and Data Classification (15 papers) and Data Management and Algorithms (14 papers). Michael J. Pazzani is often cited by papers focused on AI-based Problem Solving and Planning (17 papers), Machine Learning and Data Classification (15 papers) and Data Management and Algorithms (14 papers). Michael J. Pazzani collaborates with scholars based in United States, United Kingdom and Australia. Michael J. Pazzani's co-authors include Pedro Domingos, Daniel Billsus, Eamonn Keogh, Kaushik Chakrabarti, Sharad Mehrotra, Kamal Ali, Dennis Kibler, Stephen D. Bay, Jack Muramatsu and Geoffrey I. Webb and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Sensors.
In The Last Decade
Co-authorship network of co-authors of Michael J. Pazzani i
Fields of papers citing papers by Michael J. Pazzani
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 Michael J. Pazzani. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael J. Pazzani may publish in the future.
Countries citing papers authored by Michael J. Pazzani
Since SpecializationCitations
This map shows the geographic impact of Michael J. Pazzani'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 Michael J. Pazzani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Pazzani more than expected).
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