Diego Aldarondo

1.4k total citations · 1 hit paper
7 papers, 642 citations indexed

About

Diego Aldarondo is a scholar working on Ecology, Evolution, Behavior and Systematics, Cell Biology and Cognitive Neuroscience. According to data from OpenAlex, Diego Aldarondo has authored 7 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Cell Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Diego Aldarondo's work include Zebrafish Biomedical Research Applications (4 papers), Bat Biology and Ecology Studies (4 papers) and Animal Behavior and Reproduction (2 papers). Diego Aldarondo is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Bat Biology and Ecology Studies (4 papers) and Animal Behavior and Reproduction (2 papers). Diego Aldarondo collaborates with scholars based in United States and United Kingdom. Diego Aldarondo's co-authors include Mala Murthy, Talmo Pereira, Mikhail Kislin, Samuel S.‐H. Wang, Lindsay Willmore, Joshua W. Shaevitz, Bence P. Ölveczky, Jesse D. Marshall, Timothy Dunn and William Lee Wang and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Diego Aldarondo

7 papers receiving 638 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fast animal pose estimation using deep neural networks

2018 387 citations Talmo Pereira, Diego Aldarondo et al. Nature Methods profile →

Peers

Diego Aldarondo

CN

CB

CMN

EEBS

SP

Mikhail Kislin Finland

Talmo Pereira United States

Lindsay Willmore United States

Robert C. Hinz Portugal

Jacob M. Graving Germany

Mayank Kabra India

Ruud A.J. Tegelenbosch Netherlands

Steffen Schneider Germany

Ralph E. Peterson United States

Stan L. Pashkovski United States

Mikhail Kislin Finland

Diego Aldarondo

207 ×1.3

CN

143 ×1.0

CB

242 ×1.8

CMN

71 ×0.5

EEBS

76 ×0.7

SP

Citations per year, relative to Diego Aldarondo Diego Aldarondo (= 1×) peers Mikhail Kislin

Countries citing papers authored by Diego Aldarondo

Since Specialization

Citations

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

Fields of papers citing papers by Diego Aldarondo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Aldarondo

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Aldarondo. A scholar is included among the top collaborators of Diego Aldarondo 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 Diego Aldarondo. Diego Aldarondo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Aldarondo, Diego, et al.. (2025). Mapping the landscape of social behavior. Cell. 188(8). 2249–2266.e23. 4 indexed citations

2.

Aldarondo, Diego, Josh Merel, Jesse D. Marshall, et al.. (2024). A virtual rodent predicts the structure of neural activity across behaviours. Nature. 632(8025). 594–602. 20 indexed citations

3.

Dunn, Timothy, Jesse D. Marshall, Kyle S. Severson, et al.. (2021). Geometric deep learning enables 3D kinematic profiling across species and environments. Nature Methods. 18(5). 564–573. 111 indexed citations

4.

Marshall, Jesse D., et al.. (2021). The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations

5.

Marshall, Jesse D., Diego Aldarondo, Timothy Dunn, et al.. (2020). Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire. Neuron. 109(3). 420–437.e8. 74 indexed citations

6.

Clemens, Jan, Philip Coen, Talmo Pereira, et al.. (2018). Discovery of a New Song Mode in Drosophila Reveals Hidden Structure in the Sensory and Neural Drivers of Behavior. Current Biology. 28(15). 2400–2412.e6. 45 indexed citations

7.

Pereira, Talmo, Diego Aldarondo, Lindsay Willmore, et al.. (2018). Fast animal pose estimation using deep neural networks. Nature Methods. 16(1). 117–125. 387 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact