Ulrich Hofmann

9.3k citations
264 papers · 4.0k indexed · h-index 31
Topics
Neuroscience and Neural Engineering (63 papers)EEG and Brain-Computer Interfaces (40 papers)Neural dynamics and brain function (29 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Ulrich Hofmann

257 papers receiving 3.8k citations

Peers

Ulrich Hofmann
Comparison fields: 5 of 179
  • Biomedical Engineering 1.1k
  • Cellular and Molecular Neuroscience 954
  • Materials Chemistry 764
  • Electrical and Electronic Engineering 708
  • Cognitive Neuroscience 677
Replace Arnaud Bertsch with:
Arnaud Bertsch Switzerland
Yoel Fink United States
Xing Sheng China
Jari Hyttinen Finland
Jack W. Judy United States
Massimo De Vittorio Italy
Bianxiao Cui United States
György Székely Saudi Arabia
John Dunlop United States
Wei He China
Ulrich Hofmann relative to Arnaud Bertsch Switzerland Arnaud Bertsch's profile →
Citations per field
00.5×1.5×2.4×
Arnaud Bertsch · 1×
Citations per year

Countries citing papers authored by Ulrich Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Hofmann. A scholar is included among the top collaborators of Ulrich Hofmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulrich Hofmann. Ulrich Hofmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 27
2 1
3 1
4 2
5 45
6 4
7 6
8 2
9 42
10 0
11 10
12
OMAP 3 based signal processing for biomedical engineering teaching
3
13 6
14
Quantifying Olfactory Perception: Mapping Olfactory Perception Space by Using Multidimensional Scaling and Self-Organizing Maps
2
15 10
16 9
17 2
18 2
19 4
20 42

About Ulrich Hofmann

Ulrich Hofmann is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomaterials, having authored 264 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (63 papers), EEG and Brain-Computer Interfaces (40 papers) and Neural dynamics and brain function (29 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (954 citations), Cognitive Neuroscience (677 citations) and Biomaterials (395 citations). Ulrich Hofmann has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include H.P. Boehm, A. Clauss, A. Weiss, W. Gräßmann, Ken Yoshida, Wolfgang J. Parak, P. Norlin, Winnie Jensen, Manfred Radmacher and Christian Rotsch. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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