Marta Rivera-Alba

1.6k total citations · 2 hit papers
5 papers, 847 citations indexed

About

Marta Rivera-Alba is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Marta Rivera-Alba has authored 5 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Genetics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Marta Rivera-Alba's work include Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Animal Behavior and Reproduction (2 papers). Marta Rivera-Alba is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Animal Behavior and Reproduction (2 papers). Marta Rivera-Alba collaborates with scholars based in United States, Spain and Canada. Marta Rivera-Alba's co-authors include Kristin Branson, Mayank Kabra, Alice A. Robie, Richard D. Fetter, Casey M Schneider-Mizell, Marta Zlatic, Javier Valdés-Alemán, J. Simpson, Tomoko Ohyama and Brett D. Mensh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Methods.

In The Last Decade

Marta Rivera-Alba

5 papers receiving 841 citations

Hit Papers

JAABA: interactive machine learning for automatic annotat... 2012 2026 2016 2021 2012 2015 100 200 300
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.

  1. JAABA: interactive machine learning for automatic annotation of animal behavior
    2012 378 citations Mayank Kabra, Alice A. Robie et al. Nature Methods profile →
  2. A multilevel multimodal circuit enhances action selection in Drosophila
    2015 304 citations Tomoko Ohyama, Casey M Schneider-Mizell et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Rivera-Alba United States 5 485 247 210 182 113 5 847
Akira Fushiki United States 11 511 1.1× 247 1.0× 130 0.6× 135 0.7× 90 0.8× 12 702
Romain Franconville United States 13 930 1.9× 411 1.7× 301 1.4× 267 1.5× 138 1.2× 14 1.1k
Alice A. Robie United States 11 679 1.4× 473 1.9× 507 2.4× 198 1.1× 181 1.6× 15 1.4k
Dominic D. Frank United States 8 669 1.4× 235 1.0× 117 0.6× 244 1.3× 137 1.2× 12 873
Marta Costa United Kingdom 16 767 1.6× 381 1.5× 260 1.2× 142 0.8× 209 1.8× 22 1.0k
Mason Klein United States 21 854 1.8× 381 1.5× 250 1.2× 111 0.6× 173 1.5× 42 1.7k
Talmo Pereira United States 11 253 0.5× 162 0.7× 141 0.7× 312 1.7× 101 0.9× 17 1.1k
Quentin Gaudry United States 15 661 1.4× 202 0.8× 226 1.1× 187 1.0× 181 1.6× 22 934
Serge Faumont United States 18 496 1.0× 106 0.4× 76 0.4× 139 0.8× 206 1.8× 23 1.3k
Robert M. Olberg United States 14 592 1.2× 257 1.0× 346 1.6× 286 1.6× 61 0.5× 16 919

Countries citing papers authored by Marta Rivera-Alba

Since Specialization
Citations

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

Fields of papers citing papers by Marta Rivera-Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Rivera-Alba. 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 Marta Rivera-Alba. The network helps show where Marta Rivera-Alba may publish in the future.

Co-authorship network of co-authors of Marta Rivera-Alba

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

All Works

5 of 5 papers shown
1.
Ohyama, Tomoko, Casey M Schneider-Mizell, Richard D. Fetter, et al.. (2015). A multilevel multimodal circuit enhances action selection in Drosophila. Nature. 520(7549). 633–639. 304 indexed citations breakdown →
2.
Rivera-Alba, Marta, Shiv Vitaladevuni, Yuriy Mishchenko, et al.. (2012). Wiring Economy and Volume Exclusion Determine Neuronal Placement in the Drosophila Brain. Current Biology. 22(2). 172–172. 4 indexed citations
3.
Kabra, Mayank, et al.. (2012). JAABA: interactive machine learning for automatic annotation of animal behavior. Nature Methods. 10(1). 64–67. 378 indexed citations breakdown →
4.
Rivera-Alba, Marta, Shiv Vitaladevuni, Yuriy Mishchenko, et al.. (2011). Wiring Economy and Volume Exclusion Determine Neuronal Placement in the Drosophila Brain. Current Biology. 21(23). 2000–2005. 137 indexed citations
5.
Pérez‐Escudero, Alfonso, Marta Rivera-Alba, & Gonzalo G. de Polavieja. (2009). Structure of deviations from optimality in biological systems. Proceedings of the National Academy of Sciences. 106(48). 20544–20549. 24 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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