Daniel Riordan

30 papers and 228 indexed citations i.

About

Daniel Riordan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Daniel Riordan has authored 30 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Daniel Riordan’s work include Fault Detection and Control Systems (4 papers), Animal Behavior and Welfare Studies (4 papers) and Sensor Technology and Measurement Systems (3 papers). Daniel Riordan is often cited by papers focused on Fault Detection and Control Systems (4 papers), Animal Behavior and Welfare Studies (4 papers) and Sensor Technology and Measurement Systems (3 papers). Daniel Riordan collaborates with scholars based in Ireland, Canada and United Kingdom. Daniel Riordan's co-authors include J. L. Walsh, Niall O’Mahony, Sean Campbell, Gustavo Velasco-Hernandez, Lenka Krpálková, Anderson Carvalho, Anshul Awasthi, David Crane, B. R. Dawson and Adam Biales and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Bioinformatics and Sensors.

In The Last Decade

Co-authorship network of co-authors of Daniel Riordan i

Fields of papers citing papers by Daniel Riordan

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

Countries citing papers authored by Daniel Riordan

Since Specialization
Citations

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

Rankless by CCL
2025