Ingo Fründ

1.5k total citations
23 papers, 1.1k citations indexed

About

Ingo Fründ is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Ingo Fründ has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Ingo Fründ's work include Neural dynamics and brain function (18 papers), Visual perception and processing mechanisms (10 papers) and EEG and Brain-Computer Interfaces (6 papers). Ingo Fründ is often cited by papers focused on Neural dynamics and brain function (18 papers), Visual perception and processing mechanisms (10 papers) and EEG and Brain-Computer Interfaces (6 papers). Ingo Fründ collaborates with scholars based in Germany, Canada and United Kingdom. Ingo Fründ's co-authors include Christoph S. Herrmann, Felix A. Wichmann, Daniel Lenz, Niko A. Busch, Jeanette Schadow, Jakob H. Macke, Ursula Körner, Dominik Lenz, Jochem W. Rieger and Galina V. Paramei and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Ingo Fründ

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingo Fründ Germany 13 1.0k 171 153 81 79 23 1.1k
Andrey R. Nikolaev Belgium 21 1.1k 1.0× 114 0.7× 150 1.0× 139 1.7× 53 0.7× 65 1.3k
P. Christiaan Klink Netherlands 15 1.2k 1.1× 208 1.2× 183 1.2× 126 1.6× 50 0.6× 29 1.3k
Bhavin R. Sheth United States 19 1.2k 1.2× 325 1.9× 221 1.4× 136 1.7× 55 0.7× 42 1.3k
Sang‐Hun Lee South Korea 15 1.1k 1.1× 194 1.1× 148 1.0× 104 1.3× 50 0.6× 46 1.2k
Shlomit Yuval‐Greenberg Israel 15 1.4k 1.4× 176 1.0× 294 1.9× 90 1.1× 147 1.9× 35 1.6k
Jason Samaha United States 20 1.6k 1.6× 213 1.2× 251 1.6× 89 1.1× 70 0.9× 42 1.8k
Hagar Gelbard-Sagiv Israel 10 1.4k 1.4× 436 2.5× 95 0.6× 63 0.8× 54 0.7× 12 1.5k
Keiichi Kitajo Japan 19 1.2k 1.1× 177 1.0× 193 1.3× 110 1.4× 72 0.9× 64 1.5k
И. Н. Пигарев Russia 16 1.2k 1.2× 229 1.3× 190 1.2× 113 1.4× 64 0.8× 52 1.3k
Víctor de Lafuente Mexico 20 1.4k 1.3× 327 1.9× 211 1.4× 107 1.3× 96 1.2× 43 1.5k

Countries citing papers authored by Ingo Fründ

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Fründ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Fründ

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Fründ. A scholar is included among the top collaborators of Ingo Fründ 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 Ingo Fründ. Ingo Fründ 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.
Moshourab, Rabih, et al.. (2015). A Probabilistic Model for Estimating the Depth and Threshold Temperature of C-fiber Nociceptors. Scientific Reports. 5(1). 17670–17670. 7 indexed citations
2.
Fründ, Ingo & James H. Elder. (2015). Psychophysical evaluation of planar shape representations for object recognition. Journal of Vision. 15(12). 522–522. 1 indexed citations
3.
Fründ, Ingo, et al.. (2014). Joint Bayesian Inference Reveals Model Properties Shared between Multiple Experimental Conditions. PLoS ONE. 9(4). e91710–e91710. 1 indexed citations
4.
Fründ, Ingo, Felix A. Wichmann, & Jakob H. Macke. (2014). Quantifying the effect of intertrial dependence on perceptual decisions. Journal of Vision. 14(7). 9–9. 187 indexed citations
5.
Fründ, Ingo & James T. Elder. (2013). Statistical coding of natural closed contours. Journal of Vision. 13(9). 119–119. 4 indexed citations
6.
Fründ, Ingo, et al.. (2012). Dealing with sequential dependencies in psychophysical data. Journal of Vision. 12(9). 1143–1143. 1 indexed citations
7.
Fründ, Ingo, et al.. (2011). Inference for psychometric functions in the presence of nonstationary behavior. Journal of Vision. 11(6). 16–16. 208 indexed citations
8.
Strüber, Daniel, Ingo Fründ, Jeanette Schadow, et al.. (2010). Gamma in motion: Pattern reversal elicits stronger gamma-band responses than motion. NeuroImage. 55(2). 808–817. 4 indexed citations
9.
Fründ, Ingo, Frank W. Ohl, & Christoph S. Herrmann. (2009). Spike-timing-dependent plasticity leads to gamma band responses in a neural network. Biological Cybernetics. 101(3). 227–240. 8 indexed citations
10.
Schadow, Jeanette, et al.. (2009). Early gamma-band responses reflect anticipatory top-down modulation in the auditory cortex. NeuroImage. 47(2). 651–658. 37 indexed citations
11.
Herrmann, Christoph S., Ingo Fründ, & Daniel Lenz. (2009). Human gamma-band activity: A review on cognitive and behavioral correlates and network models. Neuroscience & Biobehavioral Reviews. 34(7). 981–992. 251 indexed citations
12.
Fründ, Ingo, et al.. (2008). Anticipation of natural stimuli modulates EEG dynamics: physiology and simulation. Cognitive Neurodynamics. 2(2). 89–100. 12 indexed citations
13.
Fründ, Ingo, Niko A. Busch, Jeanette Schadow, et al.. (2008). Time Pressure Modulates Electrophysiological Correlates of Early Visual Processing. PLoS ONE. 3(2). e1675–e1675. 15 indexed citations
14.
Schadow, Jeanette, Galina V. Paramei, Daniel Lenz, et al.. (2008). Impairments of Gestalt perception in the intact hemifield of hemianopic patients are reflected in gamma-band EEG activity. Neuropsychologia. 47(2). 556–568. 40 indexed citations
15.
Schadow, Jeanette, et al.. (2007). Stimulus intensity affects early sensory processing: Sound intensity modulates auditory evoked gamma-band activity in human EEG. International Journal of Psychophysiology. 65(2). 152–161. 57 indexed citations
16.
Fründ, Ingo, Niko A. Busch, Ursula Körner, Jeanette Schadow, & Christoph S. Herrmann. (2007). EEG oscillations in the gamma and alpha range respond differently to spatial frequency. Vision Research. 47(15). 2086–2098. 43 indexed citations
17.
Schadow, Jeanette, Daniel Lenz, Niko A. Busch, et al.. (2007). Stimulus intensity affects early sensory processing: Visual contrast modulates evoked gamma-band activity in human EEG. International Journal of Psychophysiology. 66(1). 28–36. 50 indexed citations
18.
Fründ, Ingo, Niko A. Busch, Jeanette Schadow, Ursula Körner, & Christoph S. Herrmann. (2007). From perception to action: phase-locked gamma oscillations correlate with reaction times in a speeded response task. BMC Neuroscience. 8(1). 27–27. 38 indexed citations
19.
Fründ, Ingo, Jeanette Schadow, Niko A. Busch, Ursula Körner, & Christoph S. Herrmann. (2006). Evoked γ oscillations in human scalp EEG are test–retest reliable. Clinical Neurophysiology. 118(1). 221–227. 38 indexed citations
20.
Busch, Niko A., Jeanette Schadow, Ingo Fründ, & Christoph S. Herrmann. (2005). Time-frequency analysis of target detection reveals an early interface between bottom-up and top-down processes in the gamma-band. NeuroImage. 29(4). 1106–1116. 63 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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