M. Quist

1.8k citations
9 papers · 496 indexed · h-index 8

M. Quist

9 papers receiving 483 citations

Peers

M. Quist
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 293
  • Neurology 186
  • Internal Medicine 38
  • Epidemiology 264
  • Pulmonary and Respiratory Medicine 162
Replace Tarek Azhari with:
Tarek Azhari Germany
Kari Pulfer United States
E Klotz Germany
Ulrich von Smekal Germany
J Gieseke Germany
B. Aagaard-Kienitz United States
David Robben Belgium
Xinfa Ding China
J.M. Niesten Netherlands
M. Quist relative to Tarek Azhari Germany Tarek Azhari's profile →
Citations per field
00.5×6.5×
Tarek Azhari · 1×
Citations per year

Countries citing papers authored by M. Quist

Since Specialization
Citations

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

Fields of papers citing papers by M. Quist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1
Reproducibility of quantitative CT brain perfusion measurements in patients with symptomatic unilateral carotid artery stenosis.
200748
2
Influence of partial volume on venous output and arterial input function.
200649
3
Accuracy of dynamic perfusion CT with deconvolution in detecting acute hemispheric stroke.
2005184
4
Dynamic perfusion CT: optimizing the temporal resolution and contrast volume for calculation of perfusion CT parameters in stroke patients.
2004155
5 200210
6 20019
7 200127
8 20015
9 20019

About M. Quist

M. Quist is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, Epidemiology and Pathology and Forensic Medicine, having authored 9 papers that have together received 496 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Advanced MRI Techniques and Applications (3 papers), Medical Image Segmentation Techniques (3 papers), Ultrasound Imaging and Elastography (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Medical Imaging Techniques and Applications (2 papers) and Multiple Sclerosis Research Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (293 citations), Neurology (186 citations), Internal Medicine (38 citations), Epidemiology (264 citations) and Pulmonary and Respiratory Medicine (162 citations). M. Quist has collaborated with scholars based in Netherlands, Finland and Germany. Frequent co-authors include Max Wintermark, William P. Dillon, Nerissa Ko, Wade S. Smith, Nancy J. Fischbein, P. Schnyder, Annet Waaijer, Marcel Breeuwer, Luuk Spreeuwers and Irene van der Schaaf. Their work appears in journals such as American Journal of Neuroradiology, Journal of Neurology, Journal of Magnetic Resonance Imaging, International Congress Series and PubMed.

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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