Ivan Eggel

970 citations
22 papers · 308 · h-index 9

Impact in

Papers in

Ivan Eggel

20 papers receiving 269 citations

Peers

Ivan Eggel
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 229
  • Health Information Management 17
  • Artificial Intelligence 106
  • Health Informatics 4
  • Information Systems and Management 10
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks
201281
2
Overview of the CLEF 2011 Medical Image Classification and Retrieval Tasks.
201149
3
Overview of the CLEF 2010 medical image retrieval track
201043
4 201231
5 201120
6
The medGIFT Group in ImageCLEFmed 2012
201215
7 201812
8 201510
9
VISCERAL | VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 Challenge Organization
201410
10 20156
11
The medGIFT Group in ImageCLEFmed 2011
20115
12
Overview of the VISCERAL Challenge at ISBI 2015
20155
13 20134
14 20204
15 20154
16 20152
17 20102
18 20122
19
The Participation of MedGIFT Group at ImageCLEFmed 2010.
20101
20 20091

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 Oncology, having authored 22 papers that have together received 308 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (15 papers), AI in cancer detection (8 papers), Biomedical Text Mining and Ontologies (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Colorectal Cancer Screening and Detection (3 papers), Video Analysis and Summarization (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Health Information Management (17 citations), Artificial Intelligence (106 citations), Health Informatics (4 citations) and Information Systems and Management (10 citations). Ivan Eggel has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Henning Müller, Jayashree Kalpathy–Cramer, Alba García Seco de Herrera, Steven Bedrick, Sameer Antani, Dina Demner‐Fushman, Adrien Depeursinge, Theodora Tsikrika, Charles E. Kahn and Roger Schaer. Their work appears in journals such as Journal of Data and Information Quality, Journal of Digital Imaging, Journal of Biomedical Informatics, ACM SIGIR Forum and RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

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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