Brian M. Tress

9.5k citations
89 papers · 5.7k indexed · h-index 34

Brian M. Tress

89 papers receiving 5.5k citations

Peers

Brian M. Tress
Comparison fields: 5 of 128
  • Neurology 2.1k
  • Epidemiology 2.9k
  • Rehabilitation 561
  • Internal Medicine 293
  • Radiology, Nuclear Medicine and Imaging 1.2k
Replace Ferdinando S. Buonanno with:
Ferdinando S. Buonanno United States
Salvador Pedraza Spain
Hakan Ay United States
Robert J. Wityk United States
Birgitta K. Velthuis Netherlands
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Catherine Lamy France
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Marwan El‐Koussy Switzerland
Brian M. Tress relative to Ferdinando S. Buonanno United States Ferdinando S. Buonanno's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian M. Tress

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Tress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201347
2 201025
3 20047
4 2003450
5
Results from the pilot phase of the Echoplanar Imaging Thrombolysis Evaluation Trial (EPITHET)
20029
6 2002430
7 20013
8 2001263
9 20001
10 1999154
11 199831
12 199426
13 19947
14 19933
15 19931
16 19921
17 1990236
18 19896
19
Incremental Dynamic Computed Tomography: Practical Method of Imaging the Carotid Bifurcation
19861
20 19844

About Brian M. Tress

Brian M. Tress is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 89 papers that have together received 5.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (29 papers), Advanced MRI Techniques and Applications (24 papers), Cerebrovascular and Carotid Artery Diseases (22 papers), Advanced Neuroimaging Techniques and Applications (12 papers), MRI in cancer diagnosis (9 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Neurosurgical Procedures and Complications (8 papers). The work is most often cited by research in Neurology (2.1k citations), Epidemiology (2.9k citations) and Rehabilitation (561 citations). Brian M. Tress has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Stephen M. Davis, Patricia Desmond, P. Alan Barber, Mark Parsons, David Darby, Richard Gerraty, Geoffrey A. Donnan, Peter Mitchell, Tracey Baird and John King. Their work appears in journals such as Neurology, Stroke and Annals of Neurology.

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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