Roland Kern

1.7k total citations
45 papers, 1.3k citations indexed

About

Roland Kern is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Roland Kern has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cellular and Molecular Neuroscience, 32 papers in Cognitive Neuroscience and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Roland Kern's work include Neurobiology and Insect Physiology Research (40 papers), Visual perception and processing mechanisms (28 papers) and Neural dynamics and brain function (20 papers). Roland Kern is often cited by papers focused on Neurobiology and Insect Physiology Research (40 papers), Visual perception and processing mechanisms (28 papers) and Neural dynamics and brain function (20 papers). Roland Kern collaborates with scholars based in Germany, Netherlands and Austria. Roland Kern's co-authors include Martin Egelhaaf, J. H. van Hateren, Jens Peter Lindemann, Norbert Boeddeker, Rafael Kurtz, Dezső Varjú, Bart R. H. Geurten, Pei Liang, Laura Dittmar and Helge Ritter and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Roland Kern

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Kern Germany 22 917 646 413 225 205 45 1.3k
Norbert Boeddeker Germany 19 625 0.7× 385 0.6× 475 1.2× 337 1.5× 86 0.4× 29 1.1k
C Wehrhahn Germany 25 837 0.9× 958 1.5× 385 0.9× 255 1.1× 267 1.3× 60 1.6k
R Hengstenberg Germany 19 1.5k 1.6× 764 1.2× 525 1.3× 343 1.5× 332 1.6× 51 1.9k
Klaus Hausen Germany 18 1.4k 1.6× 863 1.3× 465 1.1× 302 1.3× 351 1.7× 27 1.7k
Johannes M. Zanker United Kingdom 24 471 0.5× 1.0k 1.6× 255 0.6× 101 0.4× 137 0.7× 98 1.6k
Juergen Haag Germany 32 2.2k 2.4× 1.3k 2.0× 548 1.3× 398 1.8× 652 3.2× 42 2.5k
Karl Kral Austria 16 451 0.5× 173 0.3× 431 1.0× 245 1.1× 91 0.4× 48 887
Gaby Maimon United States 19 1.3k 1.4× 757 1.2× 498 1.2× 502 2.2× 156 0.8× 23 1.8k
Robert M. Olberg United States 14 592 0.6× 286 0.4× 346 0.8× 257 1.1× 61 0.3× 16 919
B. A. Cartwright United Kingdom 13 565 0.6× 520 0.8× 582 1.4× 457 2.0× 72 0.4× 16 1.6k

Countries citing papers authored by Roland Kern

Since Specialization
Citations

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

Fields of papers citing papers by Roland Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Kern

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Kern. A scholar is included among the top collaborators of Roland Kern 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 Roland Kern. Roland Kern 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.
Kern, Roland, et al.. (2021). Disentangling of Local and Wide-Field Motion Adaptation. Frontiers in Neural Circuits. 15. 713285–713285. 2 indexed citations
2.
Kern, Roland, et al.. (2017). Taking a goal-centred dynamic snapshot as a possibility for local homing in initially naïve bumblebees. Journal of Experimental Biology. 221(Pt 2). 15 indexed citations
3.
Macedonia, Manuela, Roland Kern, & Friedrich Roithmayr. (2014). Do children accept virtual agents as foreign language trainers. International Journal of Learning Teaching and Educational Research. 7(1). 131–137. 3 indexed citations
4.
Ullrich, Thomas, Roland Kern, & Martin Egelhaaf. (2014). Texture-defined objects influence responses of blowfly motion-sensitive neurons under natural dynamical conditions. Frontiers in Integrative Neuroscience. 8. 34–34. 1 indexed citations
5.
Egelhaaf, Martin, Roland Kern, & Jens Peter Lindemann. (2014). Motion as a source of environmental information: a fresh view on biological motion computation by insect brains. Frontiers in Neural Circuits. 8. 127–127. 33 indexed citations
6.
Ullrich, Thomas, Roland Kern, & Martin Egelhaaf. (2014). Influence of environmental information in natural scenes and the effects of motion adaptation on a fly motion-sensitive neuron during simulated flight. Biology Open. 4(1). 13–21. 11 indexed citations
7.
Kern, Roland, et al.. (2013). Encoding of naturalistic optic flow by motion sensitive neurons of nucleus rotundus in the zebra finch (Taeniopygia guttata). Frontiers in Integrative Neuroscience. 7. 68–68. 7 indexed citations
8.
Egelhaaf, Martin, Norbert Boeddeker, Roland Kern, Rafael Kurtz, & Jens Peter Lindemann. (2012). Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action. Frontiers in Neural Circuits. 6. 108–108. 71 indexed citations
9.
Kern, Roland, et al.. (2011). Synaptic transmission of graded membrane potential changes and spikes between identified visual interneurons. European Journal of Neuroscience. 34(5). 705–716. 6 indexed citations
10.
Liang, Pei, Roland Kern, & Martin Egelhaaf. (2008). Motion Adaptation Enhances Object-Induced Neural Activity in Three-Dimensional Virtual Environment. Journal of Neuroscience. 28(44). 11328–11332. 22 indexed citations
11.
Hateren, J. H. van, et al.. (2006). Encoding of Naturalistic Optic Flow by a Population of Blowfly Motion-Sensitive Neurons. Journal of Neurophysiology. 96(3). 1602–1614. 65 indexed citations
12.
Hateren, J. H. van, et al.. (2005). Function and Coding in the Blowfly H1 Neuron during Naturalistic Optic Flow. Journal of Neuroscience. 25(17). 4343–4352. 47 indexed citations
13.
Kern, Roland, et al.. (2005). Function of a Fly Motion-Sensitive Neuron Matches Eye Movements during Free Flight. PLoS Biology. 3(6). e171–e171. 106 indexed citations
14.
Lindemann, Jens Peter, et al.. (2003). FliMax, a novel stimulus device for panoramic and highspeed presentation of behaviourally generated optic flow. Vision Research. 43(7). 779–791. 51 indexed citations
15.
Egelhaaf, Martin, et al.. (2003). Visually guided orientation in flies: case studies in computational neuroethology. Journal of Comparative Physiology A. 189(6). 401–409. 9 indexed citations
16.
Boeddeker, Norbert, Roland Kern, & Martin Egelhaaf. (2003). Chasing a dummy target: smooth pursuit and velocity control in male blowflies. Proceedings of the Royal Society B Biological Sciences. 270(1513). 393–399. 61 indexed citations
17.
Kern, Roland, et al.. (2000). Neuronal representation of optic flow experienced by unilaterally blinded flies on their mean walking trajectories. Journal of Comparative Physiology A. 186(5). 467–479. 17 indexed citations
19.
Kern, Roland, Martin Egelhaaf, & M. Srinivasan. (1997). Edge detection by landing honeybees: Behavioural analysis and model simulations of the underlying mechanism. Vision Research. 37(15). 2103–2117. 29 indexed citations
20.
Kern, Roland, Hans-Ortwin Nalbach, & Dezső Varjú. (1993). Interactions of local movement detectors enhance the detection of rotation. Optokinetic experiments with the rock crab,Pachygrapsus marmoratus. Visual Neuroscience. 10(4). 643–652. 18 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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