Christoph Ebert

956 citations
14 papers · 729 indexed · h-index 11

Christoph Ebert

14 papers receiving 706 citations

Peers

Christoph Ebert
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 301
  • Statistics, Probability and Uncertainty 80
  • Radiology, Nuclear Medicine and Imaging 139
  • Family Practice 13
  • Physiology 109
Replace Sandra Secchiero with:
Sandra Secchiero Italy
Trefor Higgins Canada
Mario Werner United States
Carlos Alves Portugal
Donald S. Young United States
Mary Lou Gantzer United States
Linda R. Valsdottir United States
Rajiv N. Thakkar United States
Niels Jonker Netherlands
MO Karlsson Sweden
Christoph Ebert relative to Sandra Secchiero Italy Sandra Secchiero's profile →
Citations per field
00.5×3.0×
Sandra Secchiero · 1×
Citations per year

Countries citing papers authored by Christoph Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 201640
2 201556
3 201551
4 2013138
5 20122
6
Beschreibung und Bewertung der Funktionalität von Sportprodukten
20102
7 199815
8 199786
9 1997261
10 199717
11 19963
12 199422
13 199224
14 198512

About Christoph Ebert

Christoph Ebert is a scholar working on Statistics, Probability and Uncertainty, History and Philosophy of Science, Economics and Econometrics, Management of Technology and Innovation and Computational Theory and Mathematics, having authored 14 papers that have together received 729 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Clinical practice guidelines implementation (2 papers), Meta-analysis and systematic reviews (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Computational Drug Discovery Methods (2 papers), Healthcare cost, quality, practices (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (301 citations), Statistics, Probability and Uncertainty (80 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Family Practice (13 citations) and Physiology (109 citations). Christoph Ebert has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Klaus Hallermayer, Hugo A. Katus, W. Gerhardt, Margit Müller-Bardorff, Jörg Zehelein, Andrew Remppis, A. Borgya, Sarah J. Lord, Phillip J. Monaghan and Sverre Sandberg. Their work appears in journals such as Clinical Chemistry, Journal of Neurochemistry, Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM) and IEEE Software.

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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