Páraic Sheridan

About

Páraic Sheridan is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Páraic Sheridan has authored 18 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Páraic Sheridan’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Semantic Web and Ontologies (7 papers). Páraic Sheridan is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Semantic Web and Ontologies (7 papers). Páraic Sheridan collaborates with scholars based in Ireland, Switzerland and Croatia. Páraic Sheridan's co-authors include Peter Scháuble, Alan F. Smeaton, Miguel E. Ruiz, Andy Way and Anne R. Diekema and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and ACM SIGIR Forum.

In The Last Decade

Fields of papers citing papers by Páraic Sheridan

Since Specialization

EngineeringComputer 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 Páraic Sheridan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Páraic Sheridan may publish in the future.

Countries citing papers authored by Páraic Sheridan

Since Specialization

Citations

This map shows the geographic impact of Páraic Sheridan'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 Páraic Sheridan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Páraic Sheridan more than expected).

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