Joachim Möcks

2.7k citations
40 papers · 2.3k indexed · 1 hit paper · h-index 24
Topics
Blind Source Separation Techniques (14 papers)EEG and Brain-Computer Interfaces (11 papers)Neural dynamics and brain function (10 papers)
Partner nations
GermanyFranceSwitzerland

In The Last Decade

Joachim Möcks

40 papers receiving 2.2k citations

Hit Papers

Transformations towards the normal distribution of broad ...19822026199620111982100200300400500

Peers

Joachim Möcks
Comparison fields: 5 of 138
  • Cognitive Neuroscience 1.6k
  • Signal Processing 414
  • Psychiatry and Mental health 203
  • Cellular and Molecular Neuroscience 165
  • Experimental and Cognitive Psychology 138
Replace Sergey Plis with:
Sergey Plis United States
Fengyu Cong China
Eduardo Martínez‐Montes Cuba
Yi‐Ou Li United States
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Frithjof Kruggel Germany
Stephen M. LaConte United States
Guillaume Flandin United Kingdom
Isabelle Merlet France
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Citations per field
00.5×1.5×
Sergey Plis · 1×
Citations per year

Countries citing papers authored by Joachim Möcks

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Möcks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joachim Möcks

This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Möcks. A scholar is included among the top collaborators of Joachim Möcks 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 Joachim Möcks. Joachim Möcks 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 16
2 25
3 2
4 6
5 107
6 31
7 13
8 2
9
Correcting ocular artifacts in the EEG: A comparison of several methods
77
10 137
11 51
12 22
13 2
14 13
15 83
16 139
17 32
18 10
19 66
20 25

About Joachim Möcks

Joachim Möcks is a scholar working on Computational Mathematics, Signal Processing and Cognitive Neuroscience, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (14 papers), EEG and Brain-Computer Interfaces (11 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Computational Mathematics (74 citations), Cognitive Neuroscience (1.6k citations) and Signal Processing (414 citations). Joachim Möcks has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Théo Gasser, Petra Bächer, Rolf Verleger, Lothar Sroka, Pham Dinh Tuan, W Köhler, Christine Jennen-Steinmetz, M.M.C. van den Berg-Lenssen, C.H.M. Brunia and Thomas Gasser. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and Biometrika.

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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