Andrew Philippides

3.6k total citations
90 papers, 2.1k citations indexed

About

Andrew Philippides is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Andrew Philippides has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 25 papers in Cognitive Neuroscience and 23 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Andrew Philippides's work include Neurobiology and Insect Physiology Research (29 papers), Insect and Arachnid Ecology and Behavior (23 papers) and Neural dynamics and brain function (19 papers). Andrew Philippides is often cited by papers focused on Neurobiology and Insect Physiology Research (29 papers), Insect and Arachnid Ecology and Behavior (23 papers) and Neural dynamics and brain function (19 papers). Andrew Philippides collaborates with scholars based in United Kingdom, United States and Germany. Andrew Philippides's co-authors include Paul Graham, Bart Baddeley, Philip Husbands, Michael O’Shea, Phil Husbands, John Drury, Anne Templeton, Thomas S Collett, Natalie Hempel de Ibarra and Olena Riabinina and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Andrew Philippides

84 papers receiving 2.1k 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 Philippides United Kingdom 25 746 492 487 393 327 90 2.1k
Kristin Branson United States 24 1.3k 1.8× 851 1.7× 811 1.7× 714 1.8× 859 2.6× 39 4.2k
Amir Ayali Israel 29 1.3k 1.7× 528 1.1× 607 1.2× 282 0.7× 477 1.5× 123 2.5k
Toshiyuki Nakagaki Japan 30 262 0.4× 2.0k 4.1× 177 0.4× 398 1.0× 162 0.5× 93 4.3k
Ralf Möller Germany 22 400 0.5× 260 0.5× 219 0.4× 175 0.4× 269 0.8× 89 1.7k
Örjan Ekeberg Sweden 25 799 1.1× 173 0.4× 85 0.2× 185 0.5× 1.1k 3.3× 50 2.8k
Andrew S. French Canada 32 2.3k 3.1× 432 0.9× 744 1.5× 890 2.3× 964 2.9× 199 3.9k
Pavan P Ramdya Switzerland 19 878 1.2× 323 0.7× 476 1.0× 353 0.9× 128 0.4× 30 1.6k
Mark Nelson United States 26 331 0.4× 227 0.5× 34 0.1× 281 0.7× 770 2.4× 59 2.5k
Simon Garnier United States 24 85 0.1× 481 1.0× 452 0.9× 158 0.4× 189 0.6× 57 2.7k
Pavel Mašek Czechia 27 600 0.8× 272 0.6× 337 0.7× 79 0.2× 117 0.4× 118 2.0k

Countries citing papers authored by Andrew Philippides

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Philippides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Philippides

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Philippides. A scholar is included among the top collaborators of Andrew Philippides 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 Philippides. Andrew Philippides 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.
Knight, James C., et al.. (2024). Adaptive Route Memory Sequences for Insect-Inspired Visual Route Navigation. Biomimetics. 9(12). 731–731. 1 indexed citations
2.
Philippides, Andrew, et al.. (2024). Optimising Metasurface Retrieval by Hill Descending. 6225–6228.
3.
Knight, James C., et al.. (2024). Estimating orientation in natural scenes: A spiking neural network model of the insect central complex. PLoS Computational Biology. 20(8). e1011913–e1011913. 1 indexed citations
4.
Collett, Thomas S, et al.. (2023). How bumblebees coordinate path integration and body orientation at the start of their first learning flight. Journal of Experimental Biology. 226(8). 3 indexed citations
5.
Nowotny, Thomas, et al.. (2023). Robustness of the Infomax Network for View Based Navigation of Long Routes. 4 indexed citations
6.
Balfour, Nicholas J., María Clara Castellanos, Dave Goulson, Andrew Philippides, & Chris Johnson. (2022). DoPI: The Database of Pollinator Interactions. Ecology. 103(11). e3801–e3801. 19 indexed citations
7.
Philippides, Andrew, et al.. (2021). Learning with reinforcement prediction errors in a model of the Drosophila mushroom body. Nature Communications. 12(1). 2569–2569. 33 indexed citations
8.
Fernando, Chrisantha, et al.. (2019). Encoding Temporal Regularities and Information Copying in Hippocampal Circuits. Scientific Reports. 9(1). 19036–19036. 5 indexed citations
9.
Johnson, Chris, Andrew Philippides, & Philip Husbands. (2019). Simulating Soft-Bodied Swimmers with Particle-Based Physics. Soft Robotics. 6(2). 263–275. 4 indexed citations
10.
Ewing, Donna L., et al.. (2017). Sleep and the heart: Interoceptive differences linked to poor experiential sleep quality in anxiety and depression. Biological Psychology. 127. 163–172. 59 indexed citations
11.
Husbands, Phil, et al.. (2016). The evolution of handedness: why are ant colonies left- and right-handed?. 3(1). 4 indexed citations
12.
Li, Xiujuan, Narendra Padhan, Elisabet O. Sjöström, et al.. (2016). VEGFR2 pY949 signalling regulates adherens junction integrity and metastatic spread. Nature Communications. 7(1). 11017–11017. 115 indexed citations
13.
Wystrach, Antoine, et al.. (2015). How do field of view and resolution affect the information content of panoramic scenes for visual navigation? A computational investigation. Journal of Comparative Physiology A. 202(2). 87–95. 25 indexed citations
14.
Bentley, Katie, Andrew Philippides, Andrin Wacker, et al.. (2015). Formin-Mediated Actin Polymerization at Endothelial Junctions Is Required for Vessel Lumen Formation and Stabilization. Developmental Cell. 32(1). 123–132. 59 indexed citations
15.
Johnson, Christopher, Andrew Philippides, & Philip Husbands. (2014). Active Shape Discrimination with Physical Reservoir Computers. Figshare. 176–183. 1 indexed citations
16.
Wystrach, Antoine, et al.. (2014). Visual scanning behaviours and their role in the navigation of the Australian desert ant Melophorus bagoti. Journal of Comparative Physiology A. 200(7). 615–626. 71 indexed citations
17.
Philippides, Andrew, Paul Graham, Bart Baddeley, & Philip Husbands. (2014). Using Neural Networks to Understand the Information That Guides Behavior: A Case Study in Visual Navigation. Methods in molecular biology. 1260. 227–244. 3 indexed citations
18.
Smith, Adam B., et al.. (2014). Validation of an iPad visual analogue rating system for assessing appetite and satiety. Appetite. 84. 259–263. 12 indexed citations
19.
Baddeley, Bart, Paul Graham, Philip Husbands, & Andrew Philippides. (2012). A Model of Ant Route Navigation Driven by Scene Familiarity. PLoS Computational Biology. 8(1). e1002336–e1002336. 143 indexed citations
20.
Philippides, Andrew, et al.. (2009). What can be learnt from analysing insect orientation flights using probabilistic SLAM?. Biological Cybernetics. 101(3). 169–182. 12 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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