Evan Sheehan
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
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- Innovative Human-Technology Interaction
Papers in
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- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
- Advanced Neural Network Applications 1
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Haakon Faste (1 shared paper)Stefano Ermon (2 shared papers)Burak Uzkent (2 shared papers)Marshall Burke (1 shared paper)David B. Lobell (1 shared paper)Kumar Ayush (1 shared paper)Chenlin Meng (1 shared paper)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Evan Sheehan
3 papers receiving 41 citations
Peers
Comparison fields: 5 of 45
- Computer Science Applications 9
- Human-Computer Interaction 8
- Computer Vision and Pattern Recognition 12
- Information Systems and Management 4
- Media Technology 4
Countries citing papers authored by Evan Sheehan
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).
Fields of papers citing papers by Evan Sheehan
This network shows the impact of papers produced by Evan Sheehan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Evan Sheehan. The network helps show where Evan Sheehan may publish in the future.
Co-authors
The 7 scholars most cited alongside Evan Sheehan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Evan Sheehan
Evan Sheehan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Communication, Social Psychology and Radiology, Nuclear Medicine and Imaging, having authored 3 papers that have together received 44 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Knowledge Management and Sharing (1 paper), Design Education and Practice (1 paper), COVID-19 diagnosis using AI (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Team Dynamics and Performance (1 paper), Multimodal Machine Learning Applications (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Science Applications (9 citations), Human-Computer Interaction (8 citations), Computer Vision and Pattern Recognition (12 citations), Information Systems and Management (4 citations) and Media Technology (4 citations). Evan Sheehan has collaborated with scholars based in United States and India. Frequent co-authors include Haakon Faste, Stefano Ermon, Burak Uzkent, Marshall Burke, David B. Lobell, Kumar Ayush and Chenlin Meng. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.