Jacob Scharcanski
Impact in
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- Digital Imaging for Blood Diseases
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Ophthalmology top 1%
- Glaucoma and retinal disorders
Papers in
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- Image Retrieval and Classification Techniques 20
- Video Surveillance and Tracking Methods 15
- Medical Image Segmentation Techniques 14
- Face and Expression Recognition 14
- Face recognition and analysis 14
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- AI in cancer detection 13
- Co-authors
- Pablo G. Cavalcanti (9 shared papers)Daniel Welfer (5 shared papers)Diane Ruschel Marinho (5 shared papers)Cláudio Rosito Jung (4 shared papers)Alexander Wong (6 shared papers)Paul Fieguth (1 shared paper)Diego H. Milone (3 shared papers)C. T. J. Dodson (9 shared papers)
- Journals
- IEEE Transactions on Instrumentation and Measurement (8 papers)Expert Systems with Applications (6 papers)Computerized Medical Imaging and Graphics (5 papers)Pattern Recognition (4 papers)Pattern Recognition Letters (4 papers)
- Partner nations
- BrazilCanadaUnited States
In The Last Decade
Jacob Scharcanski
111 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 1.1k
- Ophthalmology 304
- Media Technology 253
- Radiology, Nuclear Medicine and Imaging 456
- Oncology 432
Countries citing papers authored by Jacob Scharcanski
This map shows the geographic impact of Jacob Scharcanski'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 Jacob Scharcanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Scharcanski more than expected).
Fields of papers citing papers by Jacob Scharcanski
This network shows the impact of papers produced by Jacob Scharcanski. 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 Jacob Scharcanski. The network helps show where Jacob Scharcanski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Scharcanski, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 132 | |
| 2 | 2009 | 125 | |
| 3 | 2011 | 117 | |
| 4 | 2011 | 108 | |
| 5 | 2016 | 87 | |
| 6 | 2013 | 72 | |
| 7 | 2010 | 65 | |
| 8 | 1997 | 60 | |
| 9 | 2012 | 59 | |
| 10 | 2013 | 54 | |
| 11 | 2016 | 51 | |
| 12 | 2005 | 46 | |
| 13 | 2006 | 44 | |
| 14 | 2010 | 44 | |
| 15 | 2014 | 43 | |
| 16 | 2013 | 39 | |
| 17 | 2002 | 37 | |
| 18 | 2015 | 36 | |
| 19 | 2018 | 36 | |
| 20 | 2013 | 34 |
About Jacob Scharcanski
Jacob Scharcanski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Oncology and Industrial and Manufacturing Engineering, having authored 116 papers that have together received 2.1k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (20 papers), Video Surveillance and Tracking Methods (15 papers), Medical Image Segmentation Techniques (14 papers), Cutaneous Melanoma Detection and Management (14 papers), Face and Expression Recognition (14 papers), Face recognition and analysis (14 papers), AI in cancer detection (13 papers) and Industrial Vision Systems and Defect Detection (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Ophthalmology (304 citations), Media Technology (253 citations), Radiology, Nuclear Medicine and Imaging (456 citations) and Oncology (432 citations). Jacob Scharcanski has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include Pablo G. Cavalcanti, Daniel Welfer, Diane Ruschel Marinho, Cláudio Rosito Jung, Alexander Wong, Paul Fieguth, Diego H. Milone, C. T. J. Dodson, Maciel Zortea and A.N. Venetsanopoulos. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Computerized Medical Imaging and Graphics, Pattern Recognition and Pattern Recognition Letters.
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.