Stephan Ulmer

1.6k citations
36 papers · 1.1k · h-index 17

Impact in

    • Neurobiology of Language and Bilingualism
    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
  • Neurology top 10%

Papers in

Stephan Ulmer

36 papers receiving 1.1k citations

Peers

Stephan Ulmer
Comparison fields: 5 of 86
  • Cognitive Neuroscience 490
  • Neurology 101
  • Genetics 97
  • Radiology, Nuclear Medicine and Imaging 183
  • Developmental and Educational Psychology 109
Replace Jérémy Deverdun with:
Jérémy Deverdun France
Gabriele Polonara Italy
Stéphanie Lion France
Joshua D. Burks United States
O. Lévrier France
Kazuo Hashikawa Japan
Isabella M. Young Australia
J.M. Oxbury United Kingdom
Serena D’Agostini Italy
T. Hagen Germany
Stephan Ulmer relative to Jérémy Deverdun France Jérémy Deverdun's profile →
Citations per field
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Jérémy Deverdun · 1×
Citations per year

Countries citing papers authored by Stephan Ulmer

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Ulmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010268
2 2013109
3 2010107
4 201096
5 201264
6 201045
7 201544
8 201331
9 201231
10 200830
11 201125
12 201223
13 200822
14 201522
15 201618
16 200217
17 200917
18 200216
19 201716
20 200814

About Stephan Ulmer

Stephan Ulmer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Genetics, Neurology and Epidemiology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (6 papers), MRI in cancer diagnosis (5 papers), Glioma Diagnosis and Treatment (5 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Neurobiology of Language and Bilingualism (4 papers), Functional Brain Connectivity Studies (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). The work is most often cited by research in Cognitive Neuroscience (490 citations), Neurology (101 citations), Genetics (97 citations), Radiology, Nuclear Medicine and Imaging (183 citations) and Developmental and Educational Psychology (109 citations). Stephan Ulmer has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Gesa Hartwigsen, Hartwig R. Siebner, Cathy J. Price, Annette Baumgaertner, Olav Jansen, Christian Heiner Riedel, Dorothee Saur, Axel Rohr, Arya Nabavi and Olav Jansen. Their work appears in journals such as Journal of Computer Assisted Tomography, Proceedings of the National Academy of Sciences, Stroke, NeuroImage and World Neurosurgery.

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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