Ivan Eggel

794 citations
34 papers · 626 · h-index 12

Impact in

Papers in

Ivan Eggel

32 papers receiving 588 citations

Peers

Ivan Eggel
Comparison fields: 5 of 30
  • Computer Vision and Pattern Recognition 281
  • Health Informatics 9
  • Information Systems 93
  • Ecological Modeling 4
  • Signal Processing 10
Replace Shoaib Azmat with:
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Rik Kamal Kumar Das India
Danielle Dean
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016133
2 2010117
3
Overview of the CLEF 2010 medical image retrieval track
201058
4 201240
5 201838
6 202029
7 201120
8
VISCERAL | VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 Challenge Organization
201419
9 202119
10 201517
11
The medGIFT Group in ImageCLEFmed 2012
201216
12 202215
13
Khresmoi: Multimodal Multilingual Medical Information Search.
201212
14
Overview of the VISCERAL Challenge at ISBI 2015
201511
15 202310
16 20199
17 20249
18 20157
19 20207
20 20106

About Ivan Eggel

Ivan Eggel is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Information Systems and Management, Artificial Intelligence and Nuclear Energy and Engineering, having authored 34 papers that have together received 626 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Information Retrieval and Search Behavior (7 papers), Medical Image Segmentation Techniques (4 papers), Scientific Computing and Data Management (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Health Informatics (9 citations), Information Systems (93 citations), Ecological Modeling (4 citations) and Signal Processing (10 citations). Ivan Eggel has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Henning Müller, William Hersh, Jayashree Kalpathy–Cramer, Charles E. Kahn, Steven D. Bedrick, Roger Schaer, Adrien Depeursinge, Allan Hanbury, Alba García Seco de Herrera and Simon Mercer. Their work appears in journals such as Lecture notes in computer science, Journal of Imaging Informatics in Medicine, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Journal of Biomedical Informatics and PLoS ONE.

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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