Marco Eichelberg
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Information Management top 1%
- Computer Networks and Communications top 10%
- Co-authors
- Peter MildenbergerE MartinThomas AdenAsuman DoğaçGökçe Banu Laleci ErtürkmenJörg RiesmeierAndreas HeinAharon Layish
- Topics
- Digital Radiography and Breast Imaging (12 papers)Electronic Health Records Systems (11 papers)Context-Aware Activity Recognition Systems (9 papers)
In The Last Decade
Marco Eichelberg
67 papers receiving 866 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 197
- Radiology, Nuclear Medicine and Imaging 188
- Health Information Management 175
- Computer Networks and Communications 120
Countries citing papers authored by Marco Eichelberg
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
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-authorship network of co-authors of Marco Eichelberg
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Eichelberg. A scholar is included among the top collaborators of Marco Eichelberg 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 Marco Eichelberg. Marco Eichelberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 31 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 20 | |
| 9 | 10 | |
| 10 | 28 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 44 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 276 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 23 |
About Marco Eichelberg
Marco Eichelberg is a scholar working on Health Information Management, Geriatrics and Gerontology and Radiology, Nuclear Medicine and Imaging, 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) and Context-Aware Activity Recognition Systems (9 papers). The work is most often cited by research in Health Information Management (175 citations), Health Informatics (35 citations) and Computer Vision and Pattern Recognition (197 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, Aharon Layish, Andreas Barth and Felix Büsching. Their work appears in journals such as Nutrients, ACM Computing Surveys and European Radiology.
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.