Mark Carman
About
Mark Carman is a scholar working on Artificial Intelligence, Information Systems and Signal Processing.
According to data from OpenAlex, Mark Carman has authored 47 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 17 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Mark Carman’s work include Topic Modeling (13 papers), Sentiment Analysis and Opinion Mining (8 papers) and Natural Language Processing Techniques (8 papers). Mark Carman is often cited by papers focused on Topic Modeling (13 papers), Sentiment Analysis and Opinion Mining (8 papers) and Natural Language Processing Techniques (8 papers). Mark Carman collaborates with scholars based in Australia, Switzerland and Italy. Mark Carman's co-authors include Ye Zhu, Aditya Joshi, Pushpak Bhattacharyya, Fábio Crestani and Geoffrey I. Webb and has published in prestigious journals such as IEEE Access, Information Sciences and ACM Computing Surveys.
In The Last Decade
Fields of papers citing papers by Mark Carman
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 Mark Carman. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mark Carman may publish in the future.
Countries citing papers authored by Mark Carman
Since SpecializationCitations
This map shows the geographic impact of Mark Carman'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 Mark Carman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Carman more than expected).
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