Udo Ernst

2.0k total citations
48 papers, 1.3k citations indexed

About

Udo Ernst is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Udo Ernst has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Udo Ernst's work include Neural dynamics and brain function (35 papers), Visual perception and processing mechanisms (27 papers) and Color Science and Applications (7 papers). Udo Ernst is often cited by papers focused on Neural dynamics and brain function (35 papers), Visual perception and processing mechanisms (27 papers) and Color Science and Applications (7 papers). Udo Ernst collaborates with scholars based in Germany, United States and France. Udo Ernst's co-authors include Klaus Pawelzik, T. Geisel, Eberhard Curio, Christian W. Eurich, J. Michael Herrmann, David Rotermund, Michael H. Herzog, Sophie Denève, Timm Lochmann and Andreas K. Kreiter and has published in prestigious journals such as Science, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Udo Ernst

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Udo Ernst Germany	17	882	355	319	311	148	48	1.3k
Yael Katz United States	9	439 0.5×	293 0.8×	140 0.4×	460 1.5×	78 0.5×	15	1.5k
Martin Stemmler Germany	22	1.4k 1.6×	157 0.4×	425 1.3×	868 2.8×	271 1.8×	41	2.0k
Timothy J. Lewis United States	19	1.2k 1.3×	294 0.8×	411 1.3×	899 2.9×	191 1.3×	42	2.0k
David F. Russell United States	24	1.1k 1.3×	526 1.5×	1.0k 3.1×	901 2.9×	175 1.2×	53	2.4k
Jan Benda Germany	22	1.1k 1.3×	103 0.3×	418 1.3×	694 2.2×	304 2.1×	59	1.7k
Robert C. Elson United States	20	715 0.8×	361 1.0×	515 1.6×	544 1.7×	124 0.8×	25	1.1k
Todd W. Troyer United States	14	873 1.0×	60 0.2×	166 0.5×	520 1.7×	134 0.9×	37	1.3k
Eric Brown United States	7	1.3k 1.5×	251 0.7×	261 0.8×	213 0.7×	110 0.7×	7	1.9k
Fabio Stefanini Switzerland	15	1.0k 1.2×	257 0.7×	240 0.8×	819 2.6×	1.3k 8.8×	21	2.6k
Rob de Ruyter van Steveninck United States	8	2.4k 2.7×	135 0.4×	603 1.9×	1.3k 4.0×	464 3.1×	11	2.9k

Countries citing papers authored by Udo Ernst

Since Specialization

Citations

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

Fields of papers citing papers by Udo Ernst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udo Ernst

This figure shows the co-authorship network connecting the top 25 collaborators of Udo Ernst. A scholar is included among the top collaborators of Udo Ernst 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 Udo Ernst. Udo Ernst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ernst, Udo, et al.. (2021). Dynamic divisive normalization circuits explain and predict change detection in monkey area MT. PLoS Computational Biology. 17(11). e1009595–e1009595. 1 indexed citations

Pawelzik, Klaus, et al.. (2019). Constrained inference in sparse coding reproduces contextual effects and predicts laminar neural dynamics. PLoS Computational Biology. 15(10). e1007370–e1007370. 6 indexed citations

Ernst, Udo, et al.. (2019). Causally Investigating Cortical Dynamics and Signal Processing by Targeting Natural System Attractors With Precisely Timed (Electrical) Stimulation. Frontiers in Computational Neuroscience. 13. 7–7. 1 indexed citations

Grothe, Iris, David Rotermund, Sunita Mandon, et al.. (2018). Attention Selectively Gates Afferent Signal Transmission to Area V4. Journal of Neuroscience. 38(14). 3441–3452. 16 indexed citations

Ernst, Udo, et al.. (2017). Contour Integration in Dynamic Scenes: Impaired Detection Performance in Extended Presentations. Frontiers in Psychology. 8. 1501–1501. 1 indexed citations

Rotermund, David, et al.. (2014). Marginally subcritical dynamics explain enhanced stimulus discriminability under attention. Frontiers in Systems Neuroscience. 8. 151–151. 33 indexed citations

Schmitt, Norbert, et al.. (2013). The role of eye movements in a contour detection task. Journal of Vision. 13(14). 5–5. 5 indexed citations

Rotermund, David, et al.. (2013). Toward High Performance, Weakly Invasive Brain Computer Interfaces Using Selective Visual Attention. Journal of Neuroscience. 33(14). 6001–6011. 17 indexed citations

Lochmann, Timm, Udo Ernst, & Sophie Denève. (2012). Perceptual Inference Predicts Contextual Modulations of Sensory Responses. Journal of Neuroscience. 32(12). 4179–4195. 55 indexed citations

10.

Ernst, Udo, et al.. (2011). Optimality of human contour integration: Psychophysics, modelling and theory. Perception. 40. 210–210. 1 indexed citations

11.

Hermens, Frouke, et al.. (2008). Modeling spatial and temporal aspects of visual backward masking.. Psychological Review. 115(1). 83–100. 39 indexed citations

12.

Hermens, Frouke & Udo Ernst. (2007). Visual backward masking: Modeling spatial and temporal aspects. Advances in Cognitive Psychology. 3(1). 93–105. 9 indexed citations

13.

Ernst, Udo, David Rotermund, & Klaus Pawelzik. (2007). Efficient Computation Based on Stochastic Spikes. Neural Computation. 19(5). 1313–1343. 5 indexed citations

14.

Rotermund, David, Udo Ernst, & Klaus Pawelzik. (2006). Towards On-line Adaptation of Neuro-prostheses with Neuronal Evaluation Signals. Biological Cybernetics. 95(3). 243–257. 14 indexed citations

15.

Herzog, Michael H., et al.. (2003). Extending the shine-through effect to classical masking paradigms. Vision Research. 43(25). 2659–2667. 16 indexed citations

16.

Eurich, Christian W., J. Michael Herrmann, & Udo Ernst. (2002). Finite-size effects of avalanche dynamics. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(6). 66137–66137. 77 indexed citations

17.

Ernst, Udo, et al.. (2001). Intracortical origin of visual maps. Nature Neuroscience. 4(4). 431–436. 51 indexed citations

18.

Ernst, Udo, Klaus Pawelzik, Fred Wolf, & T. Geisel. (1999). Theory of non-classical receptive field phenomena in the visual cortex. Neurocomputing. 26-27. 367–374. 4 indexed citations

19.

Ernst, Udo, Klaus Pawelzik, & T. Geisel. (1998). Delay-induced multistable synchronization of biological oscillators. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 57(2). 2150–2162. 146 indexed citations

20.

Pawelzik, Klaus, Udo Ernst, Fred Wolf, & T. Geisel. (1996). Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex. Neural Information Processing Systems. 90–96. 2 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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