James Eagan

11 papers and 194 indexed citations i.

About

James Eagan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, James Eagan has authored 11 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 3 papers in Artificial Intelligence. Recurrent topics in James Eagan’s work include Data Visualization and Analytics (5 papers), Interactive and Immersive Displays (4 papers) and Usability and User Interface Design (3 papers). James Eagan is often cited by papers focused on Data Visualization and Analytics (5 papers), Interactive and Immersive Displays (4 papers) and Usability and User Interface Design (3 papers). James Eagan collaborates with scholars based in France, Denmark and United States. James Eagan's co-authors include Michel Beaudouin-Lafon, Wendy E. Mackay, Clemens Nylandsted Klokmose, Nadia Boukhelifa, Jiali Liu, Thomas L. Naps, Winston Maxwell, David Bounie, Valérie Beaudouin and Isabelle Bloch and has published in prestigious journals such as Computer, IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Computer-Human Interaction.

In The Last Decade

Co-authorship network of co-authors of James Eagan i

Fields of papers citing papers by James Eagan

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

Countries citing papers authored by James Eagan

Since Specialization
Citations

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

Rankless by CCL
2025