Mark Eramian
Impact in
- Health Informatics top 5%
-
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
Papers in
-
- Advanced Image and Video Retrieval Techniques 8
- Image and Signal Denoising Methods 5
- Medical Image Segmentation Techniques 4
- Advanced Neural Network Applications 3
- Image Enhancement Techniques 3
-
- Smart Agriculture and AI 11
- Co-authors
- Jianning Chi (4 shared papers)Yi Xin (2 shared papers)Ekta Walia (3 shared papers)Jimmy Wang (1 shared paper)Paul Babyn (1 shared paper)Gary Groot (1 shared paper)Robert A. Schincariol (3 shared papers)R. G. Stockwell (3 shared papers)
- Journals
- Plant Phenomics (3 papers)IEEE Transactions on Image Processing (2 papers)Computerized Medical Imaging and Graphics (1 paper)Journal of Microscopy (1 paper)Journal on Computing and Cultural Heritage (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Mark Eramian
41 papers receiving 922 citations
Mark Eramian's Hit Papers
Peers
Comparison fields: 5 of 123
- Health Informatics 41
- Computer Vision and Pattern Recognition 307
- Media Technology 113
- Radiology, Nuclear Medicine and Imaging 216
- Endocrinology, Diabetes and Metabolism 131
Countries citing papers authored by Mark Eramian
This map shows the geographic impact of Mark Eramian'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 Mark Eramian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Eramian more than expected).
Fields of papers citing papers by Mark Eramian
This network shows the impact of papers produced by Mark Eramian. 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 Mark Eramian. The network helps show where Mark Eramian may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Eramian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network Hit paper breakdown → | 2017 | 322 |
| 2 | 1997 | 121 | |
| 3 | 2016 | 116 | |
| 4 | 2007 | 43 | |
| 5 | 2005 | 42 | |
| 6 | 1999 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2009 | 22 | |
| 9 | 2011 | 21 | |
| 10 | 2015 | 18 | |
| 11 | 2019 | 18 | |
| 12 | 2015 | 15 | |
| 13 | 2022 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 1997 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2017 | 10 |
About Mark Eramian
Mark Eramian is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Molecular Biology, Environmental Engineering and Ecology, having authored 42 papers that have together received 970 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Image and Signal Denoising Methods (5 papers), Medical Image Segmentation Techniques (4 papers), Remote Sensing in Agriculture (4 papers), Remote Sensing and LiDAR Applications (4 papers), Advanced Neural Network Applications (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Health Informatics (41 citations), Computer Vision and Pattern Recognition (307 citations), Media Technology (113 citations), Radiology, Nuclear Medicine and Imaging (216 citations) and Endocrinology, Diabetes and Metabolism (131 citations). Mark Eramian has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Jianning Chi, Yi Xin, Ekta Walia, Jimmy Wang, Paul Babyn, Gary Groot, Robert A. Schincariol, R. G. Stockwell, L. Mansinha and David Mould. Their work appears in journals such as Plant Phenomics, IEEE Transactions on Image Processing, Computerized Medical Imaging and Graphics, Journal of Microscopy and Journal on Computing and Cultural Heritage.
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.