Günther Palm

5.8k citations
117 papers · 2.6k · h-index 24

Impact in

Papers in

Günther Palm

112 papers receiving 2.4k citations

Peers

Günther Palm
Comparison fields: 5 of 173
  • Cognitive Neuroscience 1.1k
  • Artificial Intelligence 899
  • Cellular and Molecular Neuroscience 395
  • Signal Processing 220
  • Experimental and Cognitive Psychology 233
Replace Nigel Goddard with:
Nigel Goddard United Kingdom
Stephen José Hanson United States
Malte J. Rasch United States
Michael Spratling United Kingdom
Gal Chechik Israel
Ning Qian United States
Virginia R. de United States
Tapan Kumar Gandhi India
Paul Schrater United States
Joshua T Vogelstein United States
Günther Palm relative to Nigel Goddard United Kingdom Nigel Goddard's profile →
Citations per field
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Nigel Goddard · 1×
Citations per year

Countries citing papers authored by Günther Palm

Since Specialization
Citations

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

Fields of papers citing papers by Günther Palm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001350
2 1989284
3 1982174
4 1978111
5 201482
6 200980
7 201273
8 199767
9 201664
10 201660
11 199454
12 199953
13 200149
14 199946
15 198446
16 200143
17 201240
18 200936
19 199531
20 201331

About Günther Palm

Günther Palm is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (29 papers), Neural dynamics and brain function (27 papers), Advanced Memory and Neural Computing (11 papers), Face and Expression Recognition (9 papers), Anomaly Detection Techniques and Applications (7 papers), Music and Audio Processing (7 papers), Emotion and Mood Recognition (7 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Artificial Intelligence (899 citations), Cellular and Molecular Neuroscience (395 citations), Signal Processing (220 citations) and Experimental and Cognitive Psychology (233 citations). Günther Palm has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Friedhelm Schwenker, Almut Schüz, Hans A. Kestler, Andreas Knoblauch, Friedrich T. Sommer, Markus Kächele, Jialong He, Florian Häuser, Patrick Thiam and Thomas Wennekers. Their work appears in journals such as Neurocomputing, Neural Networks, Neural Computation, Language Resources and Evaluation and Biosystems.

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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