Daniel Robert

7.1k total citations
155 papers, 4.8k citations indexed

About

Daniel Robert is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Robert has authored 155 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Ecology, Evolution, Behavior and Systematics, 50 papers in Genetics and 39 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Robert's work include Animal Behavior and Reproduction (46 papers), Insect and Arachnid Ecology and Behavior (43 papers) and Plant and animal studies (40 papers). Daniel Robert is often cited by papers focused on Animal Behavior and Reproduction (46 papers), Insect and Arachnid Ecology and Behavior (43 papers) and Plant and animal studies (40 papers). Daniel Robert collaborates with scholars based in United Kingdom, United States and Switzerland. Daniel Robert's co-authors include Martin C. Göpfert, Ronald R. Hoy, Dominic Clarke, Ronald N. Miles, Erica L. Morley, Fernando Montealegre‐Z, James F. C. Windmill, Gregory P. Sutton, Joseph C. Jackson and Heather M. Whitney and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel Robert

153 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Robert United Kingdom 39 2.6k 1.5k 1.2k 792 756 155 4.8k
Ronald R. Hoy United States 45 4.0k 1.5× 1.9k 1.3× 1.7k 1.4× 1.3k 1.7× 308 0.4× 118 5.9k
Friedrich G. Barth Austria 45 3.0k 1.2× 3.0k 2.1× 2.0k 1.7× 249 0.3× 455 0.6× 153 6.7k
Martin C. Göpfert Germany 33 1.3k 0.5× 1.0k 0.7× 1.8k 1.5× 284 0.4× 639 0.8× 84 3.8k
Daniel Osorio United Kingdom 46 5.5k 2.1× 1.0k 0.7× 2.3k 2.0× 321 0.4× 327 0.4× 131 8.7k
Mandyam V. Srinivasan Australia 58 4.0k 1.5× 3.1k 2.1× 4.0k 3.4× 114 0.1× 393 0.5× 246 9.8k
Henrik Mouritsen Germany 47 1.5k 0.6× 423 0.3× 1.8k 1.5× 1.1k 1.4× 487 0.6× 114 7.0k
Horst Bleckmann Germany 41 1.0k 0.4× 529 0.4× 727 0.6× 286 0.4× 127 0.2× 153 5.3k
Michel C. Milinkovitch Switzerland 46 1.5k 0.6× 1.9k 1.3× 252 0.2× 100 0.1× 516 0.7× 125 7.0k
Eric J. Warrant Sweden 53 4.1k 1.6× 2.6k 1.8× 3.6k 3.1× 85 0.1× 527 0.7× 178 8.2k
H. C. Bennet‐Clark United Kingdom 31 1.8k 0.7× 1.2k 0.8× 758 0.6× 422 0.5× 229 0.3× 50 3.7k

Countries citing papers authored by Daniel Robert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Robert

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Robert. A scholar is included among the top collaborators of Daniel Robert 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 Daniel Robert. Daniel Robert 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.
Harrison, R. G. & Daniel Robert. (2025). A Faraday cup for charge measurements in biophysical and environmental fieldwork. Journal of Electrostatics. 135. 104062–104062.
2.
Chenchiah, Isaac V., et al.. (2025). Electroreception in treehoppers: How extreme morphologies can increase electrical sensitivity. Proceedings of the National Academy of Sciences. 122(30). e2505253122–e2505253122. 2 indexed citations
3.
Chenchiah, Isaac V., et al.. (2024). Sensing electrical environments: mechanical object reconstruction via electrosensors. Journal of Physics A Mathematical and Theoretical. 57(38). 385601–385601. 2 indexed citations
4.
Chenchiah, Isaac V., et al.. (2023). An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing. Journal of The Royal Society Interface. 20(205). 20230177–20230177. 6 indexed citations
5.
Robert, Daniel, et al.. (2023). Static electricity passively attracts ticks onto hosts. Current Biology. 33(14). 3041–3047.e4. 16 indexed citations
6.
Chenchiah, Isaac V., et al.. (2022). Passive electrolocation in terrestrial arthropods: Theoretical modelling of location detection. Journal of Theoretical Biology. 558. 111357–111357. 7 indexed citations
7.
Chenchiah, Isaac V., et al.. (2022). The mechanics and interactions of electrically sensitive mechanoreceptive hair arrays of arthropods. Journal of The Royal Society Interface. 19(188). 20220053–20220053. 9 indexed citations
8.
Chenchiah, Isaac V., et al.. (2021). Analysis of aerodynamic and electrostatic sensing in mechanoreceptor arthropod hairs. Journal of Theoretical Biology. 530. 110871–110871. 11 indexed citations
9.
Windmill, James F. C., et al.. (2018). Frequency doubling by activein vivomotility of mechanosensory neurons in the mosquito ear. Royal Society Open Science. 5(1). 171082–171082. 9 indexed citations
10.
Mhatre, Natasha, et al.. (2017). Tree crickets optimize the acoustics of baffles to exaggerate their mate-attraction signal. eLife. 6. 21 indexed citations
11.
Sutton, Gregory P., Dominic Clarke, Erica L. Morley, & Daniel Robert. (2016). Mechanosensory hairs in bumblebees ( Bombus terrestris ) detect weak electric fields. Proceedings of the National Academy of Sciences. 113(26). 7261–7265. 68 indexed citations
12.
Clarke, Dominic, Heather M. Whitney, Gregory P. Sutton, & Daniel Robert. (2013). Detection and Learning of Floral Electric Fields by Bumblebees. Science. 340(6128). 66–69. 219 indexed citations
13.
Mhatre, Natasha & Daniel Robert. (2013). A Tympanal Insect Ear Exploits a Critical Oscillator for Active Amplification and Tuning. Current Biology. 23(19). 1952–1957. 25 indexed citations
14.
Montealegre‐Z, Fernando, et al.. (2012). Convergent Evolution Between Insect and Mammalian Audition. Science. 338(6109). 968–971. 54 indexed citations
15.
Payton, Oliver, Loren Picco, Daniel Robert, et al.. (2012). High-speed atomic force microscopy in slow motion—understanding cantilever behaviour at high scan velocities. Nanotechnology. 23(20). 205704–205704. 26 indexed citations
16.
Windmill, James F. C., et al.. (2008). Hearing in tsetse flies? Morphology and mechanics of a putative auditory organ. Bulletin of Entomological Research. 99(2). 107–119. 3 indexed citations
17.
Robert, Daniel & Ronald R. Hoy. (2007). 7 Auditory Systems in Insects. Cold Spring Harbor Monograph Archive. 49. 155–184. 12 indexed citations
18.
Weber, Thomas, Martin C. Göpfert, Harald Winter, et al.. (2003). Expression of prestin-homologous solute carrier (SLC26) in auditory organs of nonmammalian vertebrates and insects. Proceedings of the National Academy of Sciences. 100(13). 7690–7695. 47 indexed citations
19.
Edgecomb, Robert S., et al.. (1995). The tympanal hearing organ of a fly: phylogenetic analysis of its morphological origins. Cell and Tissue Research. 282(2). 251–268. 35 indexed citations
20.
Tchang, Françoise, Daniel Robert, & P. Mazliak. (1980). Lipid reserve utilization and formation of glyoxysomes and etioplasts in sunflower (Helianthus annuus L.) cotyledons.. 18(1). 117–130. 1 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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