Stefanie Heba

813 citations
16 papers · 290 · h-index 11

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Visual perception and processing mechanisms
    • EEG and Brain-Computer Interfaces
    • Tactile and Sensory Interactions
    • Transcranial Magnetic Stimulation Studies

Papers in

Stefanie Heba

16 papers receiving 286 citations

Peers

Stefanie Heba
Comparison fields: 5 of 58
  • Cognitive Neuroscience 159
  • Neurology 30
  • Sensory Systems 11
  • Experimental and Cognitive Psychology 29
  • Cellular and Molecular Neuroscience 41
Replace Benoît Béranger with:
Benoît Béranger France
Sara Meredith United Kingdom
Jose F. Delgado United States
Daniel Edward Young United States
Philip C. Ko United States
Katharina Koch Germany
Sylvane Faure France
Fritzie I. Arce‐McShane United States
René Vohn Germany
Karim Jerbi France
Stefanie Heba relative to Benoît Béranger France Benoît Béranger's profile →
Citations per field
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Benoît Béranger · 1×
Citations per year

Countries citing papers authored by Stefanie Heba

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Heba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201537
2 201435
3 201734
4 201533
5 201430
6 201728
7 202116
8 202013
9 201912
10 201711
11 201811
12 20159
13 20198
14 20177
15 20204
16 20192

About Stefanie Heba

Stefanie Heba is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Social Psychology, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology, having authored 16 papers that have together received 290 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (3 papers), Multisensory perception and integration (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Olfactory and Sensory Function Studies (2 papers), Advanced MRI Techniques and Applications (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (159 citations), Neurology (30 citations), Sensory Systems (11 citations), Experimental and Cognitive Psychology (29 citations) and Cellular and Molecular Neuroscience (41 citations). Stefanie Heba has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Tobias Schmidt‐Wilcke, Martin Tegenthoff, Melanie Lenz, Hubert R. Dinse, Benjamin Glaubitz, Lara Schlaffke, Lauren M. Haag, Tobias Kalisch, Nicolaas A.J. Puts and Burkhard Pleger. Their work appears in journals such as NeuroImage, Neural Plasticity, Cortex, Human Brain Mapping and eNeuro.

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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