Ivan Eggel

970 total citations
22 papers, 308 citations indexed

About

Ivan Eggel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ivan Eggel has authored 22 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Ivan Eggel's work include Image Retrieval and Classification Techniques (15 papers), AI in cancer detection (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Ivan Eggel is often cited by papers focused on Image Retrieval and Classification Techniques (15 papers), AI in cancer detection (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Ivan Eggel collaborates with scholars based in Switzerland, United States and Austria. Ivan Eggel's co-authors include Henning Müller, Jayashree Kalpathy–Cramer, Alba García Seco de Herrera, Sameer Antani, Steven Bedrick, Dina Demner‐Fushman, Adrien Depeursinge, Charles E. Kahn, Theodora Tsikrika and Roger Schaer and has published in prestigious journals such as Journal of Biomedical Informatics, Journal of Digital Imaging and ACM SIGIR Forum.

In The Last Decade

Ivan Eggel

20 papers receiving 269 citations

Peers

Ivan Eggel

CVPR

AI

MB

RNMI

IS

A.F. Cárdenas United States

Ghada Badr Canada

Mark Oliver Güld Germany

Shemim Begum India

Sahar Vahdati Germany

Stefano Marchesin Italy

Svetla Boytcheva Bulgaria

Tian Bai China

Yuning Mao United States

Mingxin Lu China

A.F. Cárdenas United States

Ivan Eggel

131 ×0.6

CVPR

124 ×1.2

AI

28 ×0.3

MB

26 ×0.8

RNMI

35 ×1.2

IS

Citations per year, relative to Ivan Eggel Ivan Eggel (= 1×) peers A.F. Cárdenas

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-authorship network of co-authors of Ivan Eggel

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Eggel. A scholar is included among the top collaborators of Ivan Eggel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Eggel. Ivan Eggel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Graziani, Mara, et al.. (2020). Breast Histopathology with High-Performance Computing and Deep Learning. Computing and Informatics. 39(4). 780–807. 4 indexed citations

2.

Hopfgartner, Frank, Allan Hanbury, Henning Müller, et al.. (2018). Evaluation-as-a-Service for the Computational Sciences. Journal of Data and Information Quality. 10(4). 1–32. 12 indexed citations

3.

De‐Arteaga, Maria, Ivan Eggel, Bao Do, et al.. (2015). Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS. Journal of Biomedical Informatics. 56. 57–64. 6 indexed citations

4.

Hopfgartner, Frank, Allan Hanbury, Henning Müller, et al.. (2015). Report on the Evaluation-as-a-Service (EaaS) Expert Workshop. ACM SIGIR Forum. 49(1). 57–65. 10 indexed citations

5.

De‐Arteaga, Maria, Ivan Eggel, Charles E. Kahn, & Henning Müller. (2015). Analyzing Medical Image Search Behavior: Semantics and Prediction of Query Results. Journal of Digital Imaging. 28(5). 537–546. 2 indexed citations

6.

Göksel, Orçun, Antonio Foncubierta–Rodríguez, Henning Müller, et al.. (2015). Overview of the VISCERAL Challenge at ISBI 2015. 6–11. 5 indexed citations

7.

Göksel, Orçun, Bjoern Menze, Georg Langs, et al.. (2014). VISCERAL | VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 Challenge Organization. 10 indexed citations

8.

Müller, Henning, et al.. (2013). Determining the relative importance of figures in journal articles to find representative images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8674. 86740I–86740I. 4 indexed citations

9.

Herrera, Alba García Seco de, et al.. (2012). The medGIFT Group in ImageCLEFmed 2012. 1–12. 15 indexed citations

10.

Schaer, Roger, et al.. (2012). Using MapReduce for Large-Scale Medical Image Analysis. SERVAL (Université de Lausanne). 1–1. 31 indexed citations

11.

Müller, Henning, Alba García Seco de Herrera, Jayashree Kalpathy–Cramer, et al.. (2012). Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks. 1178. 81 indexed citations

12.

Herrera, Alba García Seco de, et al.. (2012). Multi-scale visual words for hierarchical medical image categorisation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8319. 83190F–83190F. 2 indexed citations

13.

Depeursinge, Adrien, et al.. (2011). Mobile Medical Visual Information Retrieval. IEEE Transactions on Information Technology in Biomedicine. 16(1). 53–61. 20 indexed citations

14.

Eggel, Ivan, et al.. (2011). The medGIFT Group in ImageCLEFmed 2011. 5 indexed citations

15.

Kalpathy–Cramer, Jayashree, Henning Müller, Steven Bedrick, et al.. (2011). Overview of the CLEF 2011 Medical Image Classification and Retrieval Tasks.. 1177. 49 indexed citations

16.

Zhou, Xin, Ivan Eggel, & Henning Müller. (2010). The Participation of MedGIFT Group at ImageCLEFmed 2010.. 33(1). 5–8. 1 indexed citations

17.

Eggel, Ivan & Henning Müller. (2010). Indexing the medical open access literature for textual and content-based visual retrieval. Studies in health technology and informatics. 160(Pt 2). 1277–81. 2 indexed citations

18.

Kalpathy–Cramer, Jayashree, Steven Bedrick, William Hersh, et al.. (2010). Retrieving similar cases from the medical literature - the ImageCLEF experience.. PubMed. 160(Pt 2). 1189–93. 1 indexed citations

19.

Müller, Henning, Jayashree Kalpathy–Cramer, Ivan Eggel, et al.. (2010). Overview of the CLEF 2010 medical image retrieval track. 1176. 43 indexed citations

20.

Eggel, Ivan & Henning Müller. (2009). Combination of Visual and Textual Similarity Retrieval from Medical Documents. Studies in health technology and informatics. 150. 841–5. 1 indexed citations

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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