Rupert Ecker
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
Papers in
- Biophysics 14
- Cell Image Analysis Techniques 13
- Advanced Fluorescence Microscopy Techniques 3
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- AI in cancer detection 14
- Co-authors
- Amirreza Mahbod (13 shared papers)Gerald Schaefer (10 shared papers)Isabella Ellinger (14 shared papers)Chunliang Wang (6 shared papers)Georg Steiner (7 shared papers)Georg Dorffner (6 shared papers)Georg Stingl (4 shared papers)Adelheid Elbe‐Bürger (3 shared papers)
- Journals
- Cytometry Part A (5 papers)Blood (2 papers)Computer Methods and Programs in Biomedicine (2 papers)Computers in Biology and Medicine (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- AustriaUnited KingdomSweden
In The Last Decade
Rupert Ecker
50 papers receiving 2.7k citations
Rupert Ecker's Hit Papers
Peers
Comparison fields: 5 of 146
- Biophysics 366
- Oncology 846
- Dermatology 221
- Artificial Intelligence 901
- Computer Vision and Pattern Recognition 523
Countries citing papers authored by Rupert Ecker
This map shows the geographic impact of Rupert Ecker'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 Rupert Ecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupert Ecker more than expected).
Fields of papers citing papers by Rupert Ecker
This network shows the impact of papers produced by Rupert Ecker. 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 Rupert Ecker. The network helps show where Rupert Ecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupert Ecker, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Multi-Organ Nucleus Segmentation Challenge Hit paper breakdown → | 2019 | 390 |
| 2 | 2011 | 295 | |
| 3 | 2020 | 232 | |
| 4 | 2019 | 212 | |
| 5 | 2018 | 205 | |
| 6 | 2003 | 164 | |
| 7 | 2004 | 97 | |
| 8 | 2020 | 90 | |
| 9 | 2004 | 87 | |
| 10 | 2021 | 86 | |
| 11 | 2005 | 82 | |
| 12 | 2004 | 69 | |
| 13 | 2001 | 67 | |
| 14 | 2005 | 61 | |
| 15 | 2004 | 59 | |
| 16 | 2000 | 52 | |
| 17 | 2003 | 44 | |
| 18 | 2005 | 44 | |
| 19 | 2023 | 43 | |
| 20 | 2022 | 40 |
About Rupert Ecker
Rupert Ecker is a scholar working on Biophysics, Artificial Intelligence, Computer Vision and Pattern Recognition, Dermatology and Cancer Research, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Cell Image Analysis Techniques (13 papers), Digital Imaging for Blood Diseases (7 papers), Cutaneous Melanoma Detection and Management (5 papers), Dermatology and Skin Diseases (4 papers), Cancer Genomics and Diagnostics (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Biophysics (366 citations), Oncology (846 citations), Dermatology (221 citations), Artificial Intelligence (901 citations) and Computer Vision and Pattern Recognition (523 citations). Rupert Ecker has collaborated with scholars based in Austria, United Kingdom and Sweden. Frequent co-authors include Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Chunliang Wang, Georg Steiner, Georg Dorffner, Georg Stingl, Adelheid Elbe‐Bürger, Alain Pitiot and Gero Kramer. Their work appears in journals such as Cytometry Part A, Blood, Computer Methods and Programs in Biomedicine, Computers in Biology and Medicine and Laboratory Investigation.
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.