M. Quist

1.8k citations
13 papers · 840 · h-index 10

Impact in

Papers in

M. Quist

13 papers receiving 809 citations

Peers

M. Quist
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 308
  • Computer Vision and Pattern Recognition 207
  • Neurology 122
  • Epidemiology 224
  • Internal Medicine 16
Replace Steinar Ommedal with:
Steinar Ommedal Norway
Anja Hennemuth Germany
Adam Hilbert Germany
David Robben Belgium
Jiahong Ouyang United States
Shouhei Hanaoka Japan
Daniël Ruijters Netherlands
Adriënne M. Mendrik Netherlands
Sasank Chilamkurthy United States
Swetha Tanamala United States
M. Quist relative to Steinar Ommedal Norway Steinar Ommedal's profile →
Citations per field
00.5×2.7×
Steinar Ommedal · 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-authors

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

13 of 13 papers shown
#Work
1 2001284
2
Accuracy of dynamic perfusion CT with deconvolution in detecting acute hemispheric stroke.
2005192
3
Dynamic perfusion CT: optimizing the temporal resolution and contrast volume for calculation of perfusion CT parameters in stroke patients.
2004163
4
Influence of partial volume on venous output and arterial input function.
200652
5
Reproducibility of quantitative CT brain perfusion measurements in patients with symptomatic unilateral carotid artery stenosis.
200749
6 199929
7 200128
8 200211
9 200110
10 20019
11 20006
12 20016
13 20021

About M. Quist

M. Quist is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pathology and Forensic Medicine and Computational Mechanics, having authored 13 papers that have together received 840 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (4 papers), Medical Imaging and Analysis (3 papers), Multiple Sclerosis Research Studies (2 papers), Advanced MRI Techniques and Applications (2 papers), Ultrasound Imaging and Elastography (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (308 citations), Computer Vision and Pattern Recognition (207 citations), Neurology (122 citations), Epidemiology (224 citations) and Internal Medicine (16 citations). M. Quist has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Wade S. Smith, Nerissa Ko, Max Wintermark, William P. Dillon, Nancy J. Fischbein, P. Schnyder, David Hill, David J. Hawkes, Graeme Penney and Frans Gerritsen. Their work appears in journals such as American Journal of Neuroradiology, Journal of Magnetic Resonance Imaging, Journal of Neurology, Lecture notes in computer science 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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