Daniel Gembris

1.6k citations
22 papers · 1.1k · h-index 14

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Neural and Behavioral Psychology Studies
    • Neuroscience and Music Perception
    • Advanced MRI Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications

Papers in

Daniel Gembris

22 papers receiving 1.1k citations

Peers

Daniel Gembris
Comparison fields: 5 of 110
  • Cognitive Neuroscience 740
  • Radiology, Nuclear Medicine and Imaging 386
  • Computational Mathematics 6
  • Sensory Systems 28
  • Neurology 43
Replace Joseph Muscat with:
Joseph Muscat Malta
Tracey Cassar Malta
Ceon Ramon United States
Jorge Riera United States
Hyejin Kang South Korea
H. Nowak Germany
Daniel K. Wójcik Poland
Dimitris A. Pinotsis United Kingdom
A.A. Ioannides United Kingdom
Jeffrey P. Sutton United States
Daniel Gembris relative to Joseph Muscat Malta Joseph Muscat's profile →
Citations per field
00.5×1.5×2.2×
Joseph Muscat · 1×
Citations per year

Countries citing papers authored by Daniel Gembris

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gembris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999297
2 2003174
3 2003172
4 200093
5 200070
6 200068
7 200244
8 201038
9 200538
10 200230
11 200226
12 200725
13 201116
14 200715
15 200912
16 19986
17 19984
18 19984
19 20102
20 20012

About Daniel Gembris

Daniel Gembris is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Computational Mathematics, having authored 22 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 (8 papers), Functional Brain Connectivity Studies (5 papers), Tensor decomposition and applications (3 papers), Neural dynamics and brain function (3 papers), stochastic dynamics and bifurcation (3 papers), Atomic and Subatomic Physics Research (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (740 citations), Radiology, Nuclear Medicine and Imaging (386 citations), Computational Mathematics (6 citations), Sensory Systems (28 citations) and Neurology (43 citations). Daniel Gembris has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andreas K. Engel, Cornelia Kranczioch, Christoph S. Herrmann, Stefan Debener, Stefan Posse, Dieter Suter, John G. Taylor, Valerij G. Kiselev, Klaus Mathiak and Wolfgang Frings. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine, Neuroreport, Magnetic Resonance Materials in Physics Biology and Medicine and Human Brain Mapping.

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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