Misha Vorobyev

10.0k total citations · 3 hit papers
82 papers, 7.7k citations indexed

About

Misha Vorobyev is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Misha Vorobyev has authored 82 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Ecology, Evolution, Behavior and Systematics, 33 papers in Cellular and Molecular Neuroscience and 20 papers in Cognitive Neuroscience. Recurrent topics in Misha Vorobyev's work include Plant and animal studies (40 papers), Neurobiology and Insect Physiology Research (33 papers) and Insect and Arachnid Ecology and Behavior (20 papers). Misha Vorobyev is often cited by papers focused on Plant and animal studies (40 papers), Neurobiology and Insect Physiology Research (33 papers) and Insect and Arachnid Ecology and Behavior (20 papers). Misha Vorobyev collaborates with scholars based in New Zealand, Germany and United Kingdom. Misha Vorobyev's co-authors include Daniel Osorio, Randolf Menzel, Martín Giurfa, N. Justin Marshall, Almut Kelber, Natalie Hempel de Ibarra, Robert Brandt, Innes C. Cuthill, Andrew T. D. Bennett and Thomas W. Cronin and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and The Journal of Comparative Neurology.

In The Last Decade

Misha Vorobyev

80 papers receiving 7.5k citations

Hit Papers

Receptor noise as a determinant of colour thresholds 1998 2026 2007 2016 1998 2003 1998 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Misha Vorobyev New Zealand 41 5.8k 1.9k 1.6k 1.4k 1.1k 82 7.7k
Daniel Osorio United Kingdom 46 5.5k 1.0× 2.3k 1.3× 1.6k 1.0× 1.0k 0.7× 1.1k 1.0× 131 8.7k
Almut Kelber Sweden 47 4.8k 0.8× 2.3k 1.3× 967 0.6× 1.7k 1.2× 750 0.7× 147 6.8k
Eric J. Warrant Sweden 53 4.1k 0.7× 3.6k 2.0× 1.4k 0.9× 2.6k 1.8× 1.2k 1.1× 178 8.2k
Martin Stevens United Kingdom 54 7.2k 1.2× 1.3k 0.7× 2.8k 1.7× 1.7k 1.2× 1.8k 1.6× 154 9.5k
Andrew T. D. Bennett Australia 37 5.2k 0.9× 756 0.4× 3.1k 1.9× 763 0.5× 984 0.9× 119 7.0k
Jochen Zeil Australia 43 2.9k 0.5× 2.3k 1.3× 859 0.5× 1.9k 1.4× 415 0.4× 109 5.0k
Nathan S. Hart Australia 42 2.7k 0.5× 1.3k 0.7× 1.7k 1.1× 432 0.3× 958 0.9× 137 5.8k
Thomas N. Sherratt Canada 43 4.6k 0.8× 380 0.2× 2.1k 1.3× 2.0k 1.4× 1.2k 1.1× 168 7.4k
Johanna Mappes Finland 56 7.2k 1.2× 778 0.4× 1.6k 1.0× 3.6k 2.6× 1.4k 1.3× 225 9.1k
Reuven Dukas Canada 43 4.4k 0.8× 784 0.4× 787 0.5× 2.5k 1.7× 301 0.3× 117 5.7k

Countries citing papers authored by Misha Vorobyev

Since Specialization
Citations

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

Fields of papers citing papers by Misha Vorobyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misha Vorobyev

This figure shows the co-authorship network connecting the top 25 collaborators of Misha Vorobyev. A scholar is included among the top collaborators of Misha Vorobyev 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 Misha Vorobyev. Misha Vorobyev 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.
Osorio, Daniel, et al.. (2022). Colour discrimination thresholds vary throughout colour space in a reef fish (Rhinecanthus aculeatus). Journal of Experimental Biology. 225(7). 15 indexed citations
2.
Vorobyev, Misha, et al.. (2022). Selected ocular dimensions of three penguin species. Vision Research. 201. 108122–108122. 4 indexed citations
3.
Cheney, Karen L., et al.. (2019). An Ishihara-style test of animal colour vision. Journal of Experimental Biology. 222(1). 42 indexed citations
4.
Osorio, Daniel & Misha Vorobyev. (2017). Principles and application of the receptor noise model of color discrimination: a comment on Olsson et al.. Behavioral Ecology. 29(2). 283–284. 9 indexed citations
5.
Toomey, Matthew B., Olle Lind, Rikard Frederiksen, et al.. (2016). Complementary shifts in photoreceptor spectral tuning unlock the full adaptive potential of ultraviolet vision in birds. eLife. 5. 47 indexed citations
6.
Siebeck, Ulrike E., Guy Wallis, Lenore Litherland, Olga Ganeshina, & Misha Vorobyev. (2014). Spectral and spatial selectivity of luminance vision in reef fish. Frontiers in Neural Circuits. 8. 118–118. 28 indexed citations
7.
Wallis, Guy, et al.. (2014). Visual Acuity in a Species of Coral Reef Fish: <b><i>Rhinecanthus aculeatus</i></b>. Brain Behavior and Evolution. 83(1). 31–42. 35 indexed citations
8.
Vorobyev, Misha. (2007). Primate trichromacy is optimal for identification of colourful objects. Perception. 36. 201–201. 1 indexed citations
9.
Hemmi, Jan M., et al.. (2006). The variable colours of the fiddler crab Uca vomeris and their relation to background and predation. Journal of Experimental Biology. 209(20). 4140–4153. 79 indexed citations
10.
Marshall, N. Justin, et al.. (2006). Tetrachromatic colour vision in the Australian lungfish Neoceratodus forsteri. Perception. 35. 168–168. 1 indexed citations
11.
Schaefer, H. Martin, et al.. (2006). Are Fruit Colors Adapted to Consumer Vision and Birds Equally Efficient in Detecting Colorful Signals?. The American Naturalist. 169(S1). S159–S169. 135 indexed citations
12.
Ganeshina, Olga & Misha Vorobyev. (2006). Structural Aspects of Slow Mechanical Adaptation in the Vertebrate Cochlea. International Journal of Comparative Psychology. 19(1). 2 indexed citations
13.
Knapp, E.A., et al.. (2004). A variable high-power multi-beam klystron design. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 539(1-2). 63–73. 4 indexed citations
14.
Ibarra, Natalie Hempel de, Martín Giurfa, & Misha Vorobyev. (2001). Detection of coloured patterns by honeybees through chromatic and achromatic cues. Journal of Comparative Physiology A. 187(3). 215–224. 88 indexed citations
15.
Vorobyev, Misha, et al.. (2001). Colour thresholds and receptor noise: behaviour and physiology compared. Vision Research. 41(5). 639–653. 265 indexed citations
16.
Chiao, Chuan‐Chin, Misha Vorobyev, Thomas W. Cronin, & Daniel Osorio. (2000). Spectral tuning of dichromats to natural scenes. Vision Research. 40(23). 3257–3271. 57 indexed citations
17.
Osorio, Daniel, Misha Vorobyev, & Carl Jones. (1999). Colour vision of domestic chicks. Journal of Experimental Biology. 202(21). 2951–2959. 221 indexed citations
18.
Vorobyev, Misha, Daniel Osorio, Andrew T. D. Bennett, N. Justin Marshall, & Innes C. Cuthill. (1998). Tetrachromacy, oil droplets and bird plumage colours. Journal of Comparative Physiology A. 183(5). 621–633. 621 indexed citations breakdown →
19.
Brandt, Robert & Misha Vorobyev. (1997). Metric Analysis of Threshold Spectral Sensitivity in the Honeybee. Vision Research. 37(4). 425–439. 52 indexed citations
20.
Vorobyev, Misha & Robert Brandt. (1996). Does photoreceptor noise limit the accuracy of color discrimination in honeybees. Progress in Biophysics and Molecular Biology. 182. 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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