Darren Treanor

131 papers and 3.2k indexed citations i.

About

Darren Treanor is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Darren Treanor has authored 131 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 34 papers in Oncology and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Darren Treanor’s work include AI in cancer detection (76 papers), Cell Image Analysis Techniques (25 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Darren Treanor is often cited by papers focused on AI in cancer detection (76 papers), Cell Image Analysis Techniques (25 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Darren Treanor collaborates with scholars based in United Kingdom, Sweden and United States. Darren Treanor's co-authors include Derek Magee, Bethany Williams, Philip Quirke, Adnan Mujahid Khan, Nasir Rajpoot, Jon Griffin, Rebecca Randell, Kieran Sheahan, Diarmuid P. O’Donoghue and John Hyland and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Darren Treanor i

Fields of papers citing papers by Darren Treanor

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

Countries citing papers authored by Darren Treanor

Since Specialization
Citations

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

Rankless by CCL
2025