Sam Heard
About
Sam Heard is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence.
According to data from OpenAlex, Sam Heard has authored 19 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health Information Management, 8 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Sam Heard’s work include Electronic Health Records Systems (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Semantic Web and Ontologies (6 papers). Sam Heard is often cited by papers focused on Electronic Health Records Systems (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Semantic Web and Ontologies (6 papers). Sam Heard collaborates with scholars based in Australia, United Kingdom and United States. Sam Heard's co-authors include Thomas Beale, Sebastian Garde, Evelyn Hovenga, Lesley Southgate and Russell L. Gruen and has published in prestigious journals such as The Lancet, Medical Education and International Journal of Medical Informatics.
In The Last Decade
Fields of papers citing papers by Sam Heard
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 Sam Heard. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sam Heard may publish in the future.
Countries citing papers authored by Sam Heard
Since SpecializationCitations
This map shows the geographic impact of Sam Heard'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 Sam Heard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Heard more than expected).
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