Ulrich Hofmann

9.3k total citations
264 papers, 4.0k citations indexed

About

Ulrich Hofmann is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Ulrich Hofmann has authored 264 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Cellular and Molecular Neuroscience, 64 papers in Cognitive Neuroscience and 62 papers in Biomedical Engineering. Recurrent topics in Ulrich Hofmann's work include Neuroscience and Neural Engineering (63 papers), EEG and Brain-Computer Interfaces (40 papers) and Neural dynamics and brain function (29 papers). Ulrich Hofmann is often cited by papers focused on Neuroscience and Neural Engineering (63 papers), EEG and Brain-Computer Interfaces (40 papers) and Neural dynamics and brain function (29 papers). Ulrich Hofmann collaborates with scholars based in Germany, United States and Denmark. Ulrich Hofmann's 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 and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS 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 U. Büttner with:
U. Büttner Germany
Lun‐De Liao Taiwan
Qiushi Ren China
Jack W. Judy United States
Juan Eugenio Iglesias United States
J. H. Correia Portugal
Arnaud Bertsch Switzerland
Andrew K. Dunn United States
Xiaojian Li China
Hadi Heidari United Kingdom
U. Büttner Germany View profile →
Citations per field, relative to Ulrich Hofmann
Ulrich Hofmann · 1×
Citations per year, relative to Ulrich Hofmann
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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
# Work Indexed 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

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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