Joachim Möcks

2.7k total citations · 1 hit paper
40 papers, 2.3k citations indexed

About

Joachim Möcks is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Joachim Möcks has authored 40 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 14 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Joachim Möcks's work include Blind Source Separation Techniques (14 papers), EEG and Brain-Computer Interfaces (11 papers) and Neural dynamics and brain function (10 papers). Joachim Möcks is often cited by papers focused on Blind Source Separation Techniques (14 papers), EEG and Brain-Computer Interfaces (11 papers) and Neural dynamics and brain function (10 papers). Joachim Möcks collaborates with scholars based in Germany, France and Switzerland. Joachim Möcks's 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 and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Biometrika.

In The Last Decade

Joachim Möcks

40 papers receiving 2.2k citations

Hit Papers

Transformations towards the normal distribution of broad ... 1982 2026 1996 2011 1982 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joachim Möcks Germany 24 1.6k 414 203 165 138 40 2.3k
Vangelis Sakkalis Greece 21 1.5k 0.9× 218 0.5× 132 0.7× 203 1.2× 163 1.2× 116 2.5k
George Zouridakis United States 33 2.0k 1.3× 225 0.5× 394 1.9× 276 1.7× 188 1.4× 113 2.9k
Silvia Comani Italy 29 1.3k 0.8× 340 0.8× 102 0.5× 141 0.9× 89 0.6× 91 2.3k
Piotr Durka Poland 27 1.5k 1.0× 611 1.5× 91 0.4× 351 2.1× 68 0.5× 67 2.0k
Björn Schelter Germany 24 2.1k 1.3× 446 1.1× 443 2.2× 421 2.6× 103 0.7× 60 2.8k
Katarzyna J. Blinowska Poland 32 3.5k 2.2× 708 1.7× 191 0.9× 449 2.7× 183 1.3× 119 4.5k
Ardalan Aarabi France 24 1.3k 0.9× 339 0.8× 364 1.8× 174 1.1× 92 0.7× 69 1.9k
Guillaume Flandin United Kingdom 28 2.8k 1.8× 256 0.6× 195 1.0× 263 1.6× 366 2.7× 53 3.6k
R. Biscay Cuba 22 836 0.5× 197 0.5× 131 0.6× 99 0.6× 44 0.3× 60 1.4k
Frank C. Meinecke Germany 16 1.6k 1.0× 396 1.0× 72 0.4× 248 1.5× 150 1.1× 31 2.0k

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
1.
Verleger, Rolf, et al.. (2012). Parafac and go/no-go: Disentangling CNV return from the P3 complex by trilinear component analysis. International Journal of Psychophysiology. 87(3). 289–300. 16 indexed citations
3.
Möcks, Joachim, et al.. (2010). Effect of Insulin Analogs on the Decline of Hemoglobin in Diabetic Patients with Nephropathy. Experimental and Clinical Endocrinology & Diabetes. 118(6). 341–345. 2 indexed citations
4.
Felip, Enriqueta, Federico Rojo, Martin Reck, et al.. (2006). Phase II pharmacodynamic trial of erlotinib in advanced non-small cell lung cancer (NSCLC) patients previously treated with platinum-based chemotherapy: FISH results. Journal of Clinical Oncology. 24(18_suppl). 7160–7160. 6 indexed citations
5.
Gerber, K. A., et al.. (2005). Comparison of mid-infrared and Raman spectroscopy in the quantitative analysis of serum. Journal of Biomedical Optics. 10(3). 31108–31108. 107 indexed citations
6.
Möcks, Joachim. (2000). Cardiovascular Mortality in Haemodialysis Patients Treated with Epoetin Beta – A Retrospective Study. ˜The œNephron journals/Nephron journals. 86(4). 455–462. 31 indexed citations
7.
Pham, Tuan D. & Joachim Möcks. (1992). Beyond Principal Component Analysis: A Trilinear Decomposition Model and Least Squares Estimation. Psychometrika. 57(2). 203–215. 13 indexed citations
8.
Möcks, Joachim, Thomas Gasser, & Pham Dinh Tuan. (1990). Testing and estimation for variable single evoked brain potentials. IEEE Engineering in Medicine and Biology Magazine. 9(1). 40–43. 2 indexed citations
9.
Brunia, C.H.M., Joachim Möcks, & M.M.C. van den Berg-Lenssen. (1989). Correcting ocular artifacts in the EEG: A comparison of several methods. Journal of Psychophysiology. 3(1). 1–50. 77 indexed citations
10.
Gasser, Théo, Christine Jennen-Steinmetz, Lothar Sroka, Rolf Verleger, & Joachim Möcks. (1988). Development of the EEG of school-age children and adolescents II. Topography. Electroencephalography and Clinical Neurophysiology. 69(2). 100–109. 137 indexed citations
11.
Möcks, Joachim. (1988). Decomposing event-related potentials: A new topographic components model. Biological Psychology. 26(1-3). 199–215. 51 indexed citations
12.
Möcks, Joachim, Théo Gasser, Pham Dinh Tuan, & W Köhler. (1987). Trial-to-Trial Variability of Single Potentials: Methodological Concepts and Results. International Journal of Neuroscience. 33(1-2). 25–32. 22 indexed citations
13.
Möcks, Joachim, et al.. (1986). Learn-merge invariance of priors: A characterization of the Dirichlet distributions and processes. Journal of Multivariate Analysis. 18(1). 83–92. 2 indexed citations
14.
Gasser, Théo, Joachim Möcks, W Köhler, & J. P. C. de Weerd. (1986). Performance and Measures of Performance for Estimators of Brain Potentials Using Real Data. IEEE Transactions on Biomedical Engineering. BME-33(10). 949–956. 13 indexed citations
15.
Möcks, Joachim & Rolf Verleger. (1986). Principal component analysis of event-related potentials: A note on misallocation of variance. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 65(5). 393–398. 83 indexed citations
16.
Gasser, Théo, Lothar Sroka, & Joachim Möcks. (1985). The transfer of EOG activity into the EEG for eyes open and closed. Electroencephalography and Clinical Neurophysiology. 61(2). 181–193. 139 indexed citations
17.
Verleger, Rolf, Thomas Gasser, & Joachim Möcks. (1985). Short term changes of event related potentials during concept learning. Biological Psychology. 20(1). 1–16. 32 indexed citations
18.
Möcks, Joachim & Rolf Verleger. (1985). Nuisance Sources of Variance in Principal Components analysis of Event‐Related Potentials. Psychophysiology. 22(6). 674–688. 10 indexed citations
19.
Möcks, Joachim, Théo Gasser, & Pham Dinh Tuan. (1984). Variability of single visual evoked potentials evaluated by two new statistical tests. Electroencephalography and Clinical Neurophysiology. 57(6). 571–580. 66 indexed citations
20.
Möcks, Joachim, Pham Dinh Tuan, & Théo Gasser. (1984). Testing for Homogeneity of Noisy Signals Evoked by Repeated Stimuli. The Annals of Statistics. 12(1). 25 indexed citations

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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