Marco Eichelberg

67 papers receiving 866 citations

Peers

Marco Eichelberg
Comparison fields: 5 of 127
  • Health Information Management 175
  • Health Informatics 35
  • Computer Vision and Pattern Recognition 197
  • Information Systems and Management 64
  • Radiology, Nuclear Medicine and Imaging 188
Replace Vassilis Koutkias with:
Vassilis Koutkias Greece
Syed Sibte Raza Abidi Canada
Ricky K. Taira United States
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Jean-Baptiste Lamy France
Jake Luo United States
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Citations per field
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Citations per year

Countries citing papers authored by Marco Eichelberg

Since Specialization
Citations

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

Fields of papers citing papers by Marco Eichelberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Eichelberg, 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 Marco Eichelberg Line = papers co-authored together Marco Eichelberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001276
2 2005193
3 200444
4 202031
5 200728
6 202224
7 197623
8 200923
9 201020
10 202020
11 200916
12 201315
13 201014
14
Empowering Patients through Personal Health Records: A Survey of Existing Third-Party Web-Based PHR Products
201114
15 200012
16 201010
17 20059
18 20057
19 20207
20 20117

About Marco Eichelberg

Marco Eichelberg is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Health Information Management and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 930 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (12 papers), Electronic Health Records Systems (11 papers), Context-Aware Activity Recognition Systems (9 papers), Semantic Web and Ontologies (8 papers), Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Healthcare Technology and Patient Monitoring (6 papers) and Nutrition and Health in Aging (5 papers). The work is most often cited by research in Health Information Management (175 citations), Health Informatics (35 citations), Computer Vision and Pattern Recognition (197 citations), Information Systems and Management (64 citations) and Radiology, Nuclear Medicine and Imaging (188 citations). Marco Eichelberg has collaborated with scholars based in Germany, Türkiye and Spain. Frequent co-authors include Peter Mildenberger, E Martin, Thomas Aden, Asuman Doğaç, Gökçe Banu Laleci Ertürkmen, Jörg Riesmeier, Andreas Hein, Andreas Barth, Aharon Layish and Felix Büsching. Their work appears in journals such as Informatics for Health and Social Care, Academic Radiology, European Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Journal of Network and Computer Applications.

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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