Matt Gaidica

875 total citations
9 papers, 201 citations indexed

About

Matt Gaidica is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Matt Gaidica has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 2 papers in Social Psychology. Recurrent topics in Matt Gaidica's work include Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Matt Gaidica is often cited by papers focused on Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Matt Gaidica collaborates with scholars based in United States, Australia and Canada. Matt Gaidica's co-authors include Daniel Leventhal, Amy Hurst, Ben Dantzer, J. Nicole Bentley, Cynthia A. Chestek, Karen E. Schroeder, Parag G. Patil, George A. Mashour, Zachary T. Irwin and Yoshiko Iwai and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Animal Behaviour.

In The Last Decade

Matt Gaidica

8 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matt Gaidica United States	7	117	83	30	18	15	9	201
L. M. Pubols United States	9	130 1.1×	129 1.6×	30 1.0×	22 1.2×	22 1.5×	11	330
Seo Ho Song United States	10	148 1.3×	217 2.6×	21 0.7×	28 1.6×	8 0.5×	21	422
N Walton United States	3	156 1.3×	136 1.6×	29 1.0×	14 0.8×	7 0.5×	4	274
Sebastián Hormigo United States	9	149 1.3×	148 1.8×	26 0.9×	14 0.8×	9 0.6×	20	265
Fumiko Seki Japan	10	91 0.8×	56 0.7×	15 0.5×	3 0.2×	9 0.6×	25	243
Christopher C. Angelakos United States	7	134 1.1×	102 1.2×	8 0.3×	6 0.3×	9 0.6×	9	263
Leonardo A. Molina Canada	7	129 1.1×	121 1.5×	14 0.5×	14 0.8×	8 0.5×	16	240
Anja Scharinger Austria	6	95 0.8×	150 1.8×	12 0.4×	13 0.7×	4 0.3×	7	328
Maureen Francheteau France	7	128 1.1×	70 0.8×	26 0.9×	8 0.4×	19 1.3×	12	293
Heather A. Sullivan United States	8	128 1.1×	129 1.6×	35 1.2×	8 0.4×	6 0.4×	17	313

Countries citing papers authored by Matt Gaidica

Since Specialization

Citations

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

Fields of papers citing papers by Matt Gaidica

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Gaidica

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Gaidica. A scholar is included among the top collaborators of Matt Gaidica 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 Matt Gaidica. Matt Gaidica 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:

9 of 9 papers shown

1.

Studd, Emily K., Ben Dantzer, Matt Gaidica, et al.. (2025). Collar? I barely know her: The utility of accelerometry in measuring personality in situ for a free-ranging wild mammal. Animal Behaviour. 220. 123045–123045.

2.

Gaidica, Matt, et al.. (2024). A Wireless Wearable Ecosystem for Social Network Analysis in Free-Living Animals. IEEE Sensors Letters. 8(7). 1–4. 1 indexed citations

3.

Gaidica, Matt & Ben Dantzer. (2022). An implantable neurophysiology platform: Broadening research capabilities in free-living and non-traditional animals. Frontiers in Neural Circuits. 16. 940989–940989. 8 indexed citations

4.

Gaidica, Matt & Ben Dantzer. (2020). Quantifying the Autonomic Response to Stressors—One Way to Expand the Definition of “Stress” in Animals. Integrative and Comparative Biology. 60(1). 113–125. 17 indexed citations

5.

Gaidica, Matt, et al.. (2020). Interactions Between Motor Thalamic Field Potentials and Single-Unit Spiking Are Correlated With Behavior in Rats. Frontiers in Neural Circuits. 14. 52–52. 7 indexed citations

6.

Gaidica, Matt, et al.. (2020). Precisely timed dopamine signals establish distinct kinematic representations of skilled movements. eLife. 9. 39 indexed citations

7.

Gaidica, Matt, et al.. (2018). Distinct Populations of Motor Thalamic Neurons Encode Action Initiation, Action Selection, and Movement Vigor. Journal of Neuroscience. 38(29). 6563–6573. 34 indexed citations

8.

Schroeder, Karen E., Zachary T. Irwin, Matt Gaidica, et al.. (2016). Disruption of corticocortical information transfer during ketamine anesthesia in the primate brain. NeuroImage. 134. 459–465. 65 indexed citations

9.

Ellens, Damien J., et al.. (2016). An automated rat single pellet reaching system with high-speed video capture. Journal of Neuroscience Methods. 271. 119–127. 30 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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