Derek Merck

823 total citations
43 papers, 441 citations indexed

About

Derek Merck is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Derek Merck has authored 43 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 12 papers in Surgery and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Derek Merck's work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Healthcare Technology and Patient Monitoring (4 papers). Derek Merck is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Healthcare Technology and Patient Monitoring (4 papers). Derek Merck collaborates with scholars based in United States, Netherlands and South Sudan. Derek Merck's co-authors include Ian Pan, Punit Prakash, Scott Collins, Saurabh Agarwal, Leo Kobayashi, Mark J. Hagmann, Dieter Haemmerich, Damian E. Dupuy, Stephen M. Pizer and Xiao Zhang and has published in prestigious journals such as Critical Care Medicine, International Journal of Radiation Oncology*Biology*Physics and Journal of Biomechanics.

In The Last Decade

Derek Merck

41 papers receiving 432 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Derek Merck United States 12 147 130 93 76 52 43 441
Laura J. Brattain United States 12 161 1.1× 177 1.4× 58 0.6× 83 1.1× 100 1.9× 46 558
Michael Schwier Germany 12 132 0.9× 221 1.7× 130 1.4× 91 1.2× 96 1.8× 22 551
Max Schöbinger Germany 8 160 1.1× 294 2.3× 127 1.4× 114 1.5× 41 0.8× 12 577
Pairash Saiviroonporn Thailand 18 172 1.2× 459 3.5× 190 2.0× 98 1.3× 41 0.8× 55 907
Florian Link Germany 7 89 0.6× 159 1.2× 136 1.5× 56 0.7× 63 1.2× 9 422
Jeroen Bertels Belgium 10 114 0.8× 210 1.6× 127 1.4× 29 0.4× 116 2.2× 15 527
Khan Siddiqui United States 16 149 1.0× 325 2.5× 148 1.6× 71 0.9× 80 1.5× 53 742
Thomas Böttger Germany 4 125 0.9× 213 1.6× 128 1.4× 69 0.9× 36 0.7× 5 428
Hongxia Yin China 13 92 0.6× 133 1.0× 61 0.7× 40 0.5× 37 0.7× 57 446
Hiroyuki Sugimori Japan 14 147 1.0× 356 2.7× 56 0.6× 151 2.0× 55 1.1× 93 767

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-authorship network of co-authors of Derek Merck

This figure shows the co-authorship network connecting the top 25 collaborators of Derek Merck. A scholar is included among the top collaborators of Derek Merck 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 Derek Merck. Derek Merck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Molino, Janine, Scott Collins, Derek Merck, et al.. (2022). Volumetric White Matter Hyperintensity Ranges Correspond to Fazekas Scores on Brain MRI. Journal of Stroke and Cerebrovascular Diseases. 31(4). 106333–106333. 24 indexed citations
4.
Yi, Thomas, Ian Pan, Scott Collins, et al.. (2021). DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. Journal of Digital Imaging. 34(6). 1405–1413. 6 indexed citations
5.
Pan, Ian, Grayson L. Baird, Simukayi Mutasa, et al.. (2020). Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs. Radiology Artificial Intelligence. 2(4). e190198–e190198. 26 indexed citations
7.
Collins, Scott, David D. Liu, Owen P. Leary, et al.. (2019). Objective Indirect Assessment of Transverse Ligament Competence Using Quantitative Analysis of 3-Dimensional Segmented Flexion-Extension Computed Tomography Scan. World Neurosurgery. 136. e223–e233. 1 indexed citations
9.
Choi, Bryan Y., Jason T. Machan, Derek Merck, et al.. (2018). Comparative Analysis of Emergency Medical Service Provider Workload During Simulated Out-of-Hospital Cardiac Arrest Resuscitation Using Standard Versus Experimental Protocols and Equipment. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 13(6). 376–386. 8 indexed citations
11.
Kobayashi, Leo, et al.. (2018). Exploratory Application of Augmented Reality/Mixed Reality Devices for Acute Care Procedure Training. Western Journal of Emergency Medicine. 19(1). 158–164. 40 indexed citations
12.
Choi, Bryan Y., Jason T. Machan, Derek Merck, et al.. (2016). Simulation-based Randomized Comparative Assessment of Out-of-Hospital Cardiac Arrest Resuscitation Bundle Completion by Emergency Medical Service Teams Using Standard Life Support or an Experimental Automation-assisted Approach. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 11(6). 365–375. 4 indexed citations
13.
Fallon, Eleanor A., et al.. (2015). Interactive Instrument-Driven Image Display in Laparoscopic Surgery. Journal of Laparoendoscopic & Advanced Surgical Techniques. 25(6). 531–535.
14.
15.
Dupuy, Damian E., Edward G. Walsh, Punit Prakash, et al.. (2015). Developing an open platform for evidence-based microwave ablation treatment planning and validation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9326. 932605–932605. 3 indexed citations
16.
Merck, Derek, et al.. (2008). Training models of anatomic shape variability. Medical Physics. 35(8). 3584–3596. 17 indexed citations
17.
Han, Qiong, et al.. (2007). Geometrically Proper Models in Statistical Training. Lecture notes in computer science. 20. 751–762. 12 indexed citations
18.
Pizer, Stephen M., et al.. (2005). Multi-figure Anatomical Objects for Shape Statistics. Lecture notes in computer science. 19. 701–712. 8 indexed citations
19.
Chaney, Edward L., Stephen M. Pizer, Sarang Joshi, et al.. (2004). Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models. International Journal of Radiation Oncology*Biology*Physics. 60(1). S153–S154. 13 indexed citations
20.
Pizer, Steven D., et al.. (2004). Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models. International Journal of Radiation Oncology*Biology*Physics. 60. S153–S154. 2 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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