Bernhard Vogginger

747 citations
36 papers · 297 · h-index 11

Impact in

Papers in

Bernhard Vogginger

32 papers receiving 292 citations

Peers

Bernhard Vogginger
Comparison fields: 5 of 40
  • Cognitive Neuroscience 110
  • Electrical and Electronic Engineering 232
  • Cellular and Molecular Neuroscience 68
  • Artificial Intelligence 98
  • Aerospace Engineering 44
Replace Gregor Lenz with:
Gregor Lenz France
Cédric Meyer France
Amirreza Yousefzadeh Netherlands
Stefan Scholze Germany
Diederik Paul Moeys Switzerland
X. Arreguit Switzerland
Alan G. Millard United Kingdom
Adarsh Kumar Kosta United States
Junseok Kim South Korea
Jianhao Ding China
Bernhard Vogginger relative to Gregor Lenz France Gregor Lenz's profile →
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 201434
2 202133
3 201832
4 202424
5 201919
6 202217
7 201915
8 202114
9 202213
10 201510
11 202110
12 201710
13 20229
14 20107
15 20206
16 20216
17 20226
18 20214
19 20244
20 20204

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 297 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (17 papers), Neural Networks and Reservoir Computing (8 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (6 papers), Advanced SAR Imaging Techniques (6 papers), Radar Systems and Signal Processing (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (110 citations), Electrical and Electronic Engineering (232 citations), Cellular and Molecular Neuroscience (68 citations), Artificial Intelligence (98 citations) and Aerospace Engineering (44 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, René Schüffny, Terrence C. Stewart, Anders Lansner and David Kappel. Their work appears in journals such as Frontiers in Neuroscience, IEEE Transactions on Computers, Nature Communications, 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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