Evan Sheehan

3 papers and 50 indexed citations i.

About

Evan Sheehan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Evan Sheehan has authored 3 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Epidemiology. Recurrent topics in Evan Sheehan’s work include Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Evan Sheehan is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Evan Sheehan collaborates with scholars based in United States and India. Evan Sheehan's co-authors include Burak Uzkent, Stefano Ermon, Chenlin Meng, David B. Lobell, Marshall Burke, Matthew Tan, Neal Jean and Kumar Ayush and has published in prestigious journals such as arXiv (Cornell University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Evan Sheehan i

Fields of papers citing papers by Evan Sheehan

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

Countries citing papers authored by Evan Sheehan

Since Specialization
Citations

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

Rankless by CCL
2025