Lawrence Cavedon
About
Lawrence Cavedon is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology.
According to data from OpenAlex, Lawrence Cavedon has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Lawrence Cavedon’s work include Speech and dialogue systems (22 papers), Topic Modeling (16 papers) and Biomedical Text Mining and Ontologies (8 papers). Lawrence Cavedon is often cited by papers focused on Speech and dialogue systems (22 papers), Topic Modeling (16 papers) and Biomedical Text Mining and Ontologies (8 papers). Lawrence Cavedon collaborates with scholars based in Australia, Japan and United States. Lawrence Cavedon's co-authors include Mark Sanderson, David Martínez, Justin Zobel, Damiano Spina and Karin Verspoor and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and ACM Computing Surveys.
In The Last Decade
Fields of papers citing papers by Lawrence Cavedon
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 Lawrence Cavedon. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lawrence Cavedon may publish in the future.
Countries citing papers authored by Lawrence Cavedon
Since SpecializationCitations
This map shows the geographic impact of Lawrence Cavedon'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 Lawrence Cavedon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Cavedon more than expected).
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