Derek Merck

41 papers receiving 448 citations

Peers

Derek Merck
Comparison fields: 5 of 89
  • Health Informatics 25
  • Hepatology 41
  • Radiology, Nuclear Medicine and Imaging 96
  • Computer Vision and Pattern Recognition 86
  • Human-Computer Interaction 15
Replace Michael Schwier with:
Michael Schwier Germany
Tomas Sakinis Norway
Bennet Hensen Germany
Florian Link Germany
Max Schöbinger Germany
Zhoubing Xu United States
Derek W. Cool Canada
Glenn S. Maitz United States
Mark Hastenteufel Germany
Claude Kauffmann Canada
Derek Merck relative to Michael Schwier Germany Michael Schwier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Derek Merck

Since Specialization
Citations

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

Fields of papers citing papers by Derek Merck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201646
2 201946
3 201641
4 201841
5 202026
6 202226
7 201717
8 200817
9 201913
10 200413
11 201613
12 200712
13 202011
14 201511
15 202310
16 202010
17 20189
18 20179
19 20168
20 20058

About Derek Merck

Derek Merck is a scholar working on Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 44 papers that have together received 458 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging and Analysis (4 papers), Healthcare Technology and Patient Monitoring (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Health Informatics (25 citations), Hepatology (41 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Computer Vision and Pattern Recognition (86 citations) and Human-Computer Interaction (15 citations). Derek Merck has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Punit Prakash, Ian Pan, Saurabh Agarwal, Scott Collins, Leo Kobayashi, Mark J. Hagmann, Damian E. Dupuy, Dieter Haemmerich, Stephen M. Pizer and Xiao Zhang. Their work appears in journals such as Medical Physics, Journal of Neurotrauma, Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, Journal of Digital Imaging and International Journal of Radiation Oncology*Biology*Physics.

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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