Anthony Leonardo

2.7k total citations
20 papers, 1.8k citations indexed

About

Anthony Leonardo is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Cognitive Neuroscience. According to data from OpenAlex, Anthony Leonardo has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Cognitive Neuroscience. Recurrent topics in Anthony Leonardo's work include Animal Behavior and Reproduction (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Neural dynamics and brain function (5 papers). Anthony Leonardo is often cited by papers focused on Animal Behavior and Reproduction (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Neural dynamics and brain function (5 papers). Anthony Leonardo collaborates with scholars based in United States, Germany and Canada. Anthony Leonardo's co-authors include Michale S. Fee, Masakazu Konishi, Huai-Ti Lin, Robert M. Olberg, Yingxue Wang, Sandro Romani, Brian Lustig, Eva Pastalkova, Reid R. Harrison and Elliot Imler and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Anthony Leonardo

20 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony Leonardo United States 17 856 774 582 491 383 20 1.8k
Eric S. Fortune United States 28 746 0.9× 993 1.3× 725 1.2× 752 1.5× 683 1.8× 57 2.5k
Dmitriy Aronov United States 22 1.7k 1.9× 2.2k 2.8× 432 0.7× 452 0.9× 306 0.8× 27 3.1k
Rüdiger Krahe Canada 25 629 0.7× 755 1.0× 362 0.6× 184 0.4× 262 0.7× 55 1.7k
Sebastian Haesler Belgium 15 897 1.0× 854 1.1× 359 0.6× 470 1.0× 285 0.7× 23 2.2k
Nachum Ulanovsky Israel 29 1.3k 1.5× 3.2k 4.1× 838 1.4× 585 1.2× 626 1.6× 45 4.4k
Toshiya Matsushima Japan 25 649 0.8× 547 0.7× 621 1.1× 600 1.2× 256 0.7× 128 2.5k
Cory T. Miller United States 28 302 0.4× 1.0k 1.3× 452 0.8× 862 1.8× 291 0.8× 65 2.4k
Adam L. Taylor United States 17 1.1k 1.2× 877 1.1× 191 0.3× 123 0.3× 238 0.6× 19 1.8k
M. Konishi United States 22 505 0.6× 1.5k 1.9× 619 1.1× 1.3k 2.7× 790 2.1× 35 2.9k
Liora Las Israel 18 717 0.8× 2.3k 3.0× 272 0.5× 247 0.5× 159 0.4× 30 2.8k

Countries citing papers authored by Anthony Leonardo

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Leonardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Leonardo

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Leonardo. A scholar is included among the top collaborators of Anthony Leonardo 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 Anthony Leonardo. Anthony Leonardo 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.
Reyn, Catherine R. von, et al.. (2025). Shorter-duration escapes driven by Drosophila giant interneurons promote survival during predation. Proceedings of the Royal Society B Biological Sciences. 292(2047). 20241724–20241724. 3 indexed citations
2.
Wang, Z. Jane, et al.. (2022). Recovery mechanisms in the dragonfly righting reflex. Science. 376(6594). 754–758. 14 indexed citations
3.
Lin, Huai-Ti & Anthony Leonardo. (2017). Heuristic Rules Underlying Dragonfly Prey Selection and Interception. Current Biology. 27(8). 1124–1137. 39 indexed citations
4.
Borghuis, Bart G. & Anthony Leonardo. (2015). The Role of Motion Extrapolation in Amphibian Prey Capture. Journal of Neuroscience. 35(46). 15430–15441. 34 indexed citations
5.
Mischiati, Matteo, et al.. (2014). Internal models direct dragonfly interception steering. Nature. 517(7534). 333–338. 189 indexed citations
6.
Wang, Yingxue, Sandro Romani, Brian Lustig, Anthony Leonardo, & Eva Pastalkova. (2014). Theta sequences are essential for internally generated hippocampal firing fields. Nature Neuroscience. 18(2). 282–288. 194 indexed citations
7.
Leonardo, Anthony, et al.. (2014). Video: Mid-Air Recovery of Falling Dragonflies. 1 indexed citations
8.
Reyn, Catherine R. von, Patrick Breads, Martin Y. Peek, et al.. (2014). A spike-timing mechanism for action selection. Nature Neuroscience. 17(7). 962–970. 168 indexed citations
9.
Leonardo, Anthony & Markus Meister. (2013). Nonlinear Dynamics Support a Linear Population Code in a Retinal Target-Tracking Circuit. Journal of Neuroscience. 33(43). 16971–16982. 28 indexed citations
10.
Berényi, Antal, Zoltán Somogyvári, Anett J. Nagy, et al.. (2013). Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals. Journal of Neurophysiology. 111(5). 1132–1149. 237 indexed citations
11.
Thomas, Stewart J., Reid R. Harrison, Anthony Leonardo, & Matthew S. Reynolds. (2012). A Battery-Free Multichannel Digital Neural/EMG Telemetry System for Flying Insects. IEEE Transactions on Biomedical Circuits and Systems. 6(5). 424–436. 80 indexed citations
12.
Thomas, Stewart J., Reid R. Harrison, Anthony Leonardo, & Matthew S. Reynolds. (2011). A battery-free multi-channel digital neural/EMG telemetry system for flying insects. 229–232. 16 indexed citations
13.
Harrison, Reid R., Haleh Fotowat, Ryan J. Kier, et al.. (2011). Wireless Neural/EMG Telemetry Systems for Small Freely Moving Animals. IEEE Transactions on Biomedical Circuits and Systems. 5(2). 103–111. 66 indexed citations
14.
Harrison, Reid R., et al.. (2010). A wireless neural/EMG telemetry system for freely moving insects. 2940–2943. 16 indexed citations
15.
Leonardo, Anthony. (2005). Degenerate coding in neural systems. Journal of Comparative Physiology A. 191(11). 995–1010. 38 indexed citations
16.
Leonardo, Anthony & Michale S. Fee. (2005). Ensemble Coding of Vocal Control in Birdsong. Journal of Neuroscience. 25(3). 652–661. 149 indexed citations
17.
Leonardo, Anthony. (2004). Experimental test of the birdsong error-correction model. Proceedings of the National Academy of Sciences. 101(48). 16935–16940. 75 indexed citations
18.
Fee, Michale S. & Anthony Leonardo. (2001). Miniature motorized microdrive and commutator system for chronic neural recording in small animals. Journal of Neuroscience Methods. 112(2). 83–94. 150 indexed citations
19.
Leonardo, Anthony & Masakazu Konishi. (1999). Decrystallization of adult birdsong by perturbation of auditory feedback. Nature. 399(6735). 466–470. 247 indexed citations
20.
Leonardo, Anthony, et al.. (1997). CaMeRa: A Computational Model of Multiple Representations. Cognitive Science. 21(3). 305–350. 88 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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