Holger G. Krapp

4.6k total citations
64 papers, 2.8k citations indexed

About

Holger G. Krapp is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Holger G. Krapp has authored 64 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cellular and Molecular Neuroscience, 39 papers in Cognitive Neuroscience and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Holger G. Krapp's work include Neurobiology and Insect Physiology Research (40 papers), Neural dynamics and brain function (27 papers) and Visual perception and processing mechanisms (24 papers). Holger G. Krapp is often cited by papers focused on Neurobiology and Insect Physiology Research (40 papers), Neural dynamics and brain function (27 papers) and Visual perception and processing mechanisms (24 papers). Holger G. Krapp collaborates with scholars based in United Kingdom, United States and Germany. Holger G. Krapp's co-authors include R Hengstenberg, Fabrizio Gabbiani, Gilles Laurent, Christof Koch, Stephen J Huston, Martin Egelhaaf, Kit D. Longden, Bärbel Hengstenberg, Matthias Franz and Martina Wicklein and has published in prestigious journals such as Nature, Journal of Neuroscience and Current Biology.

In The Last Decade

Holger G. Krapp

63 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Holger G. Krapp United Kingdom 30 1.8k 1.3k 591 386 385 64 2.8k
F. Claire Rind United Kingdom 31 1.4k 0.8× 1.2k 1.0× 502 0.8× 258 0.7× 329 0.9× 66 2.5k
Andrew Straw United States 27 1.5k 0.8× 627 0.5× 1.1k 1.8× 243 0.6× 774 2.0× 66 3.0k
David C. O’Carroll Australia 35 2.2k 1.2× 1.4k 1.1× 1.2k 2.0× 318 0.8× 598 1.6× 103 3.1k
Fabrizio Gabbiani United States 37 2.1k 1.2× 2.2k 1.7× 399 0.7× 471 1.2× 245 0.6× 88 5.0k
M. F. Land United Kingdom 28 1.4k 0.8× 1.0k 0.8× 1.2k 2.0× 320 0.8× 600 1.6× 40 3.6k
J. H. van Hateren Netherlands 31 1.8k 1.0× 2.5k 2.0× 491 0.8× 689 1.8× 259 0.7× 63 4.0k
Nicolas Franceschini France 29 1.8k 1.0× 501 0.4× 546 0.9× 621 1.6× 424 1.1× 73 3.3k
Michael R. Ibbotson Australia 29 1.5k 0.8× 1.7k 1.3× 320 0.5× 504 1.3× 189 0.5× 139 2.8k
Juergen Haag Germany 32 2.2k 1.2× 1.3k 1.0× 548 0.9× 652 1.7× 398 1.0× 42 2.5k
R Hengstenberg Germany 19 1.5k 0.8× 764 0.6× 525 0.9× 332 0.9× 343 0.9× 51 1.9k

Countries citing papers authored by Holger G. Krapp

Since Specialization
Citations

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

Fields of papers citing papers by Holger G. Krapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Holger G. Krapp. 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 Holger G. Krapp. The network helps show where Holger G. Krapp may publish in the future.

Co-authorship network of co-authors of Holger G. Krapp

This figure shows the co-authorship network connecting the top 25 collaborators of Holger G. Krapp. A scholar is included among the top collaborators of Holger G. Krapp 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 Holger G. Krapp. Holger G. Krapp 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.
Taylor, Graham K., et al.. (2025). Matching Sensing to Actuation and Dynamics in Distributed Sensorimotor Architectures. IEEE Access. 13. 13584–13605. 3 indexed citations
2.
Pirih, Primož, et al.. (2025). Species-specific spectral tuning of motion vision in butterflies. Current Biology. 36(2). 290–306.e5.
3.
Belušič, Gregor, et al.. (2022). Generating spatiotemporal patterns of linearly polarised light at high frame rates for insect vision research. Journal of Experimental Biology. 225(13). 2 indexed citations
4.
Krapp, Holger G., et al.. (2020). Two pursuit strategies for a single sensorimotor control task in blowfly. Scientific Reports. 10(1). 20762–20762. 11 indexed citations
5.
Gremillion, Gregory M., J. Sean Humbert, & Holger G. Krapp. (2014). Bio-inspired modeling and implementation of the ocelli visual system of flying insects. Biological Cybernetics. 108(6). 735–746. 14 indexed citations
6.
Lepora, Nathan F., et al.. (2013). Proceedings of the Second international conference on Biomimetic and Biohybrid Systems. 1 indexed citations
7.
Lepora, Nathan F., Anna Mura, Holger G. Krapp, Paul F. M. J. Verschure, & Tony J. Prescott. (2013). Biomimetic and Biohybrid Systems. Lecture notes in computer science. 21 indexed citations
8.
Ejaz, Naveed, et al.. (2011). An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces. Journal of Visualized Experiments. 3 indexed citations
9.
Ejaz, Naveed, et al.. (2011). An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces. Journal of Visualized Experiments. 7 indexed citations
10.
Krapp, Holger G., et al.. (2010). Sensor Fusion in Identified Visual Interneurons. Current Biology. 20(7). 624–628. 43 indexed citations
11.
Longden, Kit D. & Holger G. Krapp. (2010). Octopaminergic Modulation of Temporal Frequency Coding in an Identified Optic Flow-Processing Interneuron. Frontiers in Systems Neuroscience. 4. 153–153. 43 indexed citations
12.
Hyslop, Andrew, Holger G. Krapp, & J. Sean Humbert. (2010). Control theoretic interpretation of directional motion preferences in optic flow processing interneurons. Biological Cybernetics. 103(5). 353–364. 27 indexed citations
13.
Krapp, Holger G.. (2009). Sensory Integration: Neuronal Adaptations for Robust Visual Self-Motion Estimation. Current Biology. 19(10). R413–R416. 6 indexed citations
14.
Krapp, Holger G.. (2009). Ocelli. Current Biology. 19(11). R435–R437. 36 indexed citations
15.
Saleem, Aman B., Holger G. Krapp, & Simon R. Schultz. (2008). Receptive field characterization by spike-triggered independent component analysis. Journal of Vision. 8(13). 2–2. 12 indexed citations
16.
Rogers, Stephen M., Holger G. Krapp, Malcolm Burrows, & Tom Matheson. (2007). Compensatory Plasticity at an Identified Synapse Tunes a Visuomotor Pathway. Journal of Neuroscience. 27(17). 4621–4633. 24 indexed citations
17.
Krapp, Holger G., et al.. (2005). Population Coding of Self-Motion: Applying Bayesian Analysis to a Population of Visual Interneurons in the Fly. Journal of Neurophysiology. 94(3). 2182–2194. 26 indexed citations
18.
Krapp, Holger G. & Fabrizio Gabbiani. (2004). Spatial Distribution of Inputs and Local Receptive Field Properties of a Wide-Field, Looming Sensitive Neuron. Journal of Neurophysiology. 93(4). 2240–2253. 56 indexed citations
19.
Egelhaaf, Martin, et al.. (2001). Early visual experience and the receptive-field organization of optic flow processing interneurons in the fly motion pathway. Visual Neuroscience. 18(1). 1–8. 30 indexed citations
20.
Franz, Matthias & Holger G. Krapp. (2000). Wide-field, motion-sensitive neurons and matched filters for optic flow fields. Biological Cybernetics. 83(3). 185–197. 95 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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