Andrew Straw

5.0k total citations
66 papers, 3.0k citations indexed

About

Andrew Straw is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Andrew Straw has authored 66 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cellular and Molecular Neuroscience, 23 papers in Ecology, Evolution, Behavior and Systematics and 16 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Andrew Straw's work include Neurobiology and Insect Physiology Research (29 papers), Semiconductor Quantum Structures and Devices (15 papers) and Insect and Arachnid Ecology and Behavior (15 papers). Andrew Straw is often cited by papers focused on Neurobiology and Insect Physiology Research (29 papers), Semiconductor Quantum Structures and Devices (15 papers) and Insect and Arachnid Ecology and Behavior (15 papers). Andrew Straw collaborates with scholars based in United States, Germany and United Kingdom. Andrew Straw's co-authors include Michael H. Dickinson, Gaby Maimon, David C. O’Carroll, Kristin Branson, Steven N. Fry, William Dickson, Iain D. Couzin, Richard M. Murray, Titus R. Neumann and Eric J. Warrant and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Andrew Straw

65 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Straw United States 27 1.5k 1.1k 774 627 458 66 3.0k
Roy E. Ritzmann United States 45 2.0k 1.3× 1.2k 1.1× 1.6k 2.1× 689 1.1× 690 1.5× 125 5.1k
M. F. Land United Kingdom 28 1.4k 1.0× 1.2k 1.1× 600 0.8× 1.0k 1.6× 329 0.7× 40 3.6k
Thomas Labhart Switzerland 33 2.1k 1.4× 1.2k 1.2× 1.1k 1.4× 294 0.5× 300 0.7× 46 3.1k
Holger G. Krapp United Kingdom 30 1.8k 1.2× 591 0.6× 385 0.5× 1.3k 2.0× 321 0.7× 64 2.8k
F. Claire Rind United Kingdom 31 1.4k 0.9× 502 0.5× 329 0.4× 1.2k 2.0× 271 0.6× 66 2.5k
Paul Graham United Kingdom 40 1.4k 1.0× 1.4k 1.3× 1.4k 1.8× 395 0.6× 225 0.5× 149 4.1k
Michael B. Reiser United States 24 2.2k 1.5× 942 0.9× 842 1.1× 581 0.9× 131 0.3× 38 2.5k
David C. O’Carroll Australia 35 2.2k 1.5× 1.2k 1.1× 598 0.8× 1.4k 2.3× 278 0.6× 103 3.1k
Nicolas Franceschini France 29 1.8k 1.2× 546 0.5× 424 0.5× 501 0.8× 744 1.6× 73 3.3k
Jochen Zeil Australia 43 2.3k 1.6× 2.9k 2.8× 1.9k 2.5× 763 1.2× 297 0.6× 109 5.0k

Countries citing papers authored by Andrew Straw

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Straw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Straw

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Straw. A scholar is included among the top collaborators of Andrew Straw 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 Andrew Straw. Andrew Straw 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
2.
Diester, Ilka, Marlene Bartos, Christian Leibold, et al.. (2024). Internal world models in humans, animals, and AI. Neuron. 112(14). 2265–2268. 2 indexed citations
3.
Vo‐Doan, T. Thang, et al.. (2023). Displacement experiments provide evidence for path integration in Drosophila. Journal of Experimental Biology. 226(12). 8 indexed citations
4.
Zhan, Yinpeng, et al.. (2022). The olfactory gating of visual preferences to human skin and visible spectra in mosquitoes. Nature Communications. 13(1). 555–555. 54 indexed citations
5.
Straw, Andrew, et al.. (2022). Diurnal and nocturnal mosquitoes escape looming threats using distinct flight strategies. Current Biology. 32(6). 1232–1246.e5. 22 indexed citations
6.
Straw, Andrew, et al.. (2022). Real-Time Tracking of Multiple Moving Mosquitoes. Cold Spring Harbor Protocols. 2023(2). pdb.prot107927–pdb.prot107927. 4 indexed citations
7.
Linneweber, Gerit Arne, Radoslaw K. Ejsmont, Andrew Straw, et al.. (2020). A neurodevelopmental origin of behavioral individuality in the Drosophila visual system. Science. 367(6482). 1112–1119. 75 indexed citations
8.
Fernández, Ariel, Andrew Straw, Martin Distel, et al.. (2020). Dynamic real-time subtraction of stray-light and background for multiphoton imaging. Biomedical Optics Express. 12(1). 288–288. 2 indexed citations
9.
Stowers, John R., Maximilian Hofbauer, Renaud Bastien, et al.. (2017). Virtual reality for freely moving animals. Nature Methods. 14(10). 995–1002. 164 indexed citations
10.
Segre, Paolo S., et al.. (2016). Mechanical Constraints on Flight at High Elevation Decrease Maneuvering Performance of Hummingbirds. Current Biology. 26(24). 3368–3374. 11 indexed citations
11.
Dell, Anthony I., John A. Bender, Kristin Branson, et al.. (2014). Automated image-based tracking and its application in ecology. Trends in Ecology & Evolution. 29(7). 417–428. 320 indexed citations
12.
Fenk, Lisa M., et al.. (2014). Asymmetric Processing of Visual Motion for Simultaneous Object and Background Responses. Current Biology. 24(24). 2913–2919. 28 indexed citations
13.
Zantke, Juliane, Tomoko Ishikawa‐Fujiwara, Enrique Arboleda, et al.. (2013). Circadian and Circalunar Clock Interactions in a Marine Annelid. Cell Reports. 5(1). 99–113. 101 indexed citations
14.
Censi, Andrea, Andrew Straw, Rosalyn W. Sayaman, Richard M. Murray, & Michael H. Dickinson. (2013). Discriminating External and Internal Causes for Heading Changes in Freely Flying Drosophila. PLoS Computational Biology. 9(2). e1002891–e1002891. 42 indexed citations
15.
Robie, Alice A., Andrew Straw, & Michael H. Dickinson. (2010). Object preference by walking fruit flies, Drosophila melanogaster , is mediated by vision and graviperception. Journal of Experimental Biology. 213(14). 2494–2506. 55 indexed citations
16.
Straw, Andrew, Serin Lee, & Michael H. Dickinson. (2010). Visual Control of Altitude in Flying Drosophila. Current Biology. 20(17). 1550–1556. 65 indexed citations
17.
Straw, Andrew, Kristin Branson, Titus R. Neumann, & Michael H. Dickinson. (2010). Multi-camera real-time three-dimensional tracking of multiple flying animals. Journal of The Royal Society Interface. 8(56). 395–409. 155 indexed citations
18.
Straw, Andrew & Michael H. Dickinson. (2009). Motmot, an open-source toolkit for realtime video acquisition and analysis. PubMed. 4(1). 5–5. 56 indexed citations
19.
Fry, Steven N., et al.. (2008). TrackFly: Virtual reality for a behavioral system analysis in free-flying fruit flies. Journal of Neuroscience Methods. 171(1). 110–117. 79 indexed citations
20.
Fry, Steven N., et al.. (2004). Context-dependent stimulus presentation to freely moving animals in 3D. Journal of Neuroscience Methods. 135(1-2). 149–157. 25 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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