Eric Heim
Impact in
- Health Informatics top 10%
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
-
- Augmented Reality Applications 2
- Advanced Neural Network Applications 2
- Image and Video Quality Assessment 1
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- AI in cancer detection 2
- Co-authors
- Bryce Goodman (1 shared paper)Nirav Patel (1 shared paper)Howie Choset (1 shared paper)Jigar Doshi (1 shared paper)Ritwik Gupta (1 shared paper)Matthew E. Gaston (1 shared paper)Alexander Seitel (3 shared papers)Lena Maier‐Hein (4 shared papers)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Medical Imaging (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)PubMed (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Eric Heim
9 papers receiving 226 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 15
- Media Technology 66
- Computer Vision and Pattern Recognition 81
- Geology 13
- Computer Science Applications 11
Countries citing papers authored by Eric Heim
This map shows the geographic impact of Eric Heim'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 Eric Heim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Heim more than expected).
Fields of papers citing papers by Eric Heim
This network shows the impact of papers produced by Eric Heim. 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 Eric Heim. The network helps show where Eric Heim may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Heim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2014 | 53 | |
| 3 | 2018 | 34 | |
| 4 | 2015 | 20 | |
| 5 | 2017 | 8 | |
| 6 | 2019 | 2 | |
| 7 | 2016 | 2 | |
| 8 | 2015 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 1988 | 0 |
About Eric Heim
Eric Heim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Aerospace Engineering and Geology, having authored 10 papers that have together received 228 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (3 papers), Augmented Reality Applications (2 papers), AI in cancer detection (2 papers), 3D Surveying and Cultural Heritage (2 papers), Advanced Neural Network Applications (2 papers), Image and Video Quality Assessment (1 paper), Remote-Sensing Image Classification (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Health Informatics (15 citations), Media Technology (66 citations), Computer Vision and Pattern Recognition (81 citations), Geology (13 citations) and Computer Science Applications (11 citations). Eric Heim has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bryce Goodman, Nirav Patel, Howie Choset, Jigar Doshi, Ritwik Gupta, Matthew E. Gaston, Alexander Seitel, Lena Maier‐Hein, Tobias Roß and Keno März. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Medical Imaging, Proceedings of the AAAI Conference on Artificial Intelligence and PubMed.
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.