Ivan Eggel

978 citations
31 papers · 596 · h-index 12

Impact in

Papers in

Ivan Eggel

30 papers receiving 542 citations

Peers

Ivan Eggel
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 388
  • Developmental Biology 16
  • Health Information Management 26
  • Artificial Intelligence 196
  • Ecological Modeling 21
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Suzana Loškovska North Macedonia
Romain Bourqui France
Mani Abedini Australia
Bálint Antal Hungary
Paulo Rauber Brazil
Hongyu Li China
Rodrigo Cilla Spain
Ghada Badr Saudi Arabia
Adil Alpkoçak Türkiye
Chris J. Needham United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Eggel

Since Specialization
Citations

This map shows the geographic impact of Ivan Eggel'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 Ivan Eggel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Eggel more than expected).

Fields of papers citing papers by Ivan Eggel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Eggel. 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 Ivan Eggel. The network helps show where Ivan Eggel may publish in the future.

Co-authors

The 25 scholars most cited alongside Ivan Eggel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Eggel Line = papers co-authored together Ivan Eggel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010117
2
Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks
201299
3
Overview of the CLEF 2011 Medical Image Classification and Retrieval Tasks.
201167
4
Overview of the CLEF 2010 medical image retrieval track
201055
5 201238
6 201828
7 202024
8 201122
9
The medGIFT Group in ImageCLEFmed 2012
201217
10 202116
11 201515
12
VISCERAL | VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 Challenge Organization
201414
13 202211
14
Overview of the VISCERAL Challenge at ISBI 2015
201510
15 20199
16 20157
17
The medGIFT Group in ImageCLEFmed 2011
20116
18 20106
19 20205
20 20135

About Ivan Eggel

Ivan Eggel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Developmental Biology, having authored 31 papers that have together received 596 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (9 papers), Biomedical Text Mining and Ontologies (8 papers), AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Colorectal Cancer Screening and Detection (3 papers), Spider Taxonomy and Behavior Studies (3 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (388 citations), Developmental Biology (16 citations), Health Information Management (26 citations), Artificial Intelligence (196 citations) and Ecological Modeling (21 citations). Ivan Eggel has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Henning Müller, Jayashree Kalpathy–Cramer, Alba García Seco de Herrera, Steven Bedrick, Charles E. Kahn, William Hersh, Sameer Antani, Dina Demner‐Fushman, Adrien Depeursinge and Theodora Tsikrika. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Journal of Digital Imaging, Journal of Biomedical Informatics, ACM SIGIR Forum and Journal of Data and Information Quality.

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.

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