Eva Matt

743 citations
24 papers · 470 · h-index 12

Impact in

Papers in

    • Advanced Neuroimaging Techniques and Applications 8
    • Advanced MRI Techniques and Applications 6
    • Transcranial Magnetic Stimulation Studies 10
    • Neurological disorders and treatments 5
    • Parkinson's Disease Mechanisms and Treatments 3

Eva Matt

24 papers receiving 454 citations

Peers

Eva Matt
Comparison fields: 5 of 64
  • Neurology 158
  • Anesthesiology and Pain Medicine 47
  • Radiology, Nuclear Medicine and Imaging 177
  • Neurology 82
  • Cognitive Neuroscience 85
Replace Ilaria Liorni with:
Ilaria Liorni Italy
Leo Ai United States
Lari M. Koponen Finland
Alan Chiu United States
Anna Caterina Merzagora United States
G. Jarry France
Yi Yuan China
Hamidreza Ramezanpour Germany
A. V. Chervyakov Russia
Oscar Ripollés Spain
Eva Matt relative to Ilaria Liorni Italy Ilaria Liorni's profile →
Citations per field
00.5×3.1×
Ilaria Liorni · 1×
Citations per year

Countries citing papers authored by Eva Matt

Since Specialization
Citations

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

Fields of papers citing papers by Eva Matt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019173
2 202235
3 202234
4 201532
5 201331
6 202222
7 202416
8 198315
9 201414
10 202314
11 201613
12 201311
13 201910
14 20169
15 20258
16 19868
17 20185
18 20205
19 20223
20 20253

About Eva Matt

Eva Matt is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Cognitive Neuroscience, Biomedical Engineering and Neurology, having authored 24 papers that have together received 470 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (10 papers), Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Ultrasound and Hyperthermia Applications (7 papers), Advanced MRI Techniques and Applications (6 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Neurological disorders and treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Neurology (158 citations), Anesthesiology and Pain Medicine (47 citations), Radiology, Nuclear Medicine and Imaging (177 citations), Neurology (82 citations) and Cognitive Neuroscience (85 citations). Eva Matt has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Roland Beisteiner, Florian Ph. S. Fischmeister, Johann Lehrner, Tuna Stefan Aslan, H. Lohse-Busch, Mark Hallett, Ernst Marlinghaus, U. Reime, Siegfried Trattnig and Simon Robinson. Their work appears in journals such as NeuroImage, NeuroImage Clinical, Advanced Science, Frontiers in Neurology and Journal of the Neurological Sciences.

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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