Bernhard Vogginger

789 citations
36 papers · 327 · h-index 11

Impact in

Papers in

Bernhard Vogginger

33 papers receiving 320 citations

Peers

Bernhard Vogginger
Comparison fields: 5 of 40
  • Cognitive Neuroscience 115
  • Electrical and Electronic Engineering 248
  • Cellular and Molecular Neuroscience 72
  • Artificial Intelligence 100
  • Aerospace Engineering 45
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Gregor Lenz France
Cédric Meyer France
Stefan Scholze Germany
Amirreza Yousefzadeh Netherlands
Diederik Paul Moeys Switzerland
Thomas Mesquida France
Ethan Farquhar United States
Adarsh Kumar Kosta United States
Chit-Kwan Lin United States
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Citations per field
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Citations per year

Countries citing papers authored by Bernhard Vogginger

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Vogginger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bernhard Vogginger, 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 Bernhard Vogginger Line = papers co-authored together Bernhard Vogginger 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 201842
2 201435
3 202134
4 202430
5 202219
6 201919
7 201917
8 202215
9 202114
10 201711
11 202210
12 202110
13 201510
14 20107
15 20216
16 20206
17 20226
18 20245
19 20205
20 20214

About Bernhard Vogginger

Bernhard Vogginger is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Aerospace Engineering and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (16 papers), Neural dynamics and brain function (7 papers), Neural Networks and Reservoir Computing (7 papers), Neuroscience and Neural Engineering (6 papers), Advanced SAR Imaging Techniques (6 papers), Neural Networks and Applications (5 papers) and Radar Systems and Signal Processing (5 papers). The work is most often cited by research in Cognitive Neuroscience (115 citations), Electrical and Electronic Engineering (248 citations), Cellular and Molecular Neuroscience (72 citations), Artificial Intelligence (100 citations) and Aerospace Engineering (45 citations). Bernhard Vogginger has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Christian Mayr, Chen Liu, Johannes Partzsch, Hector A. Gonzalez, Sebastian Höppner, Steve Furber, David Kappel, René Schüffny, Anders Lansner and Terrence C. Stewart. Their work appears in journals such as Frontiers in Neuroscience, Nature Communications, IEEE Transactions on Computers, IET Radar Sonar & Navigation and IEEE Transactions on Circuits and Systems I Regular Papers.

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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