Liam Peyton

About

Liam Peyton is a scholar working on Information Systems, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Liam Peyton has authored 50 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 14 papers in Artificial Intelligence and 13 papers in Health Information Management. Recurrent topics in Liam Peyton’s work include Electronic Health Records Systems (13 papers), Data Quality and Management (12 papers) and QoS-Aware Web Services Composition and Semantic Matching (11 papers). Liam Peyton is often cited by papers focused on Electronic Health Records Systems (13 papers), Data Quality and Management (12 papers) and QoS-Aware Web Services Composition and Semantic Matching (11 papers). Liam Peyton collaborates with scholars based in Canada, United States and Italy. Liam Peyton's co-authors include Craig Kuziemsky, Sepideh Ghanavati, Daniel Amyot, Jennifer Horkoff, Gunter Mussbacher, Eric Yu, Khaled El Emam, Bernard Stépien, Thodoros Topaloglou and José Pereira and has published in prestigious journals such as PLoS ONE, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Liam Peyton i

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Fields of papers citing papers by Liam Peyton

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

Countries citing papers authored by Liam Peyton

Since Specialization

Citations

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

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