Tomás S. Grigera

3.2k total citations · 2 hit papers
65 papers, 2.1k citations indexed

About

Tomás S. Grigera is a scholar working on Condensed Matter Physics, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, Tomás S. Grigera has authored 65 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Condensed Matter Physics, 35 papers in Materials Chemistry and 21 papers in Statistical and Nonlinear Physics. Recurrent topics in Tomás S. Grigera's work include Material Dynamics and Properties (33 papers), Theoretical and Computational Physics (27 papers) and Advanced Thermodynamics and Statistical Mechanics (17 papers). Tomás S. Grigera is often cited by papers focused on Material Dynamics and Properties (33 papers), Theoretical and Computational Physics (27 papers) and Advanced Thermodynamics and Statistical Mechanics (17 papers). Tomás S. Grigera collaborates with scholars based in Argentina, Italy and United States. Tomás S. Grigera's co-authors include Andrea Cavagna, P. Verrocchio, Giorgio Parisi, Irene Giardina, V. Martı́n-Mayor, N. E. Israeloff, Giulio Biroli, Jean‐Philippe Bouchaud, Stefania Melillo and Massimiliano Viale and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Tomás S. Grigera

63 papers receiving 2.1k citations

Hit Papers

Phonon interpretation of the ‘boson peak’ in supercooled ... 2003 2026 2010 2018 2003 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomás S. Grigera Argentina 20 1.3k 1.1k 463 354 335 65 2.1k
Silvio Franz Italy 31 1.5k 1.2× 1.8k 1.7× 688 1.5× 342 1.0× 220 0.7× 91 3.1k
Luca Angelani Italy 30 1.0k 0.8× 2.1k 1.9× 1.0k 2.3× 1.1k 3.2× 202 0.6× 73 3.3k
Thomas Franosch Germany 31 1.4k 1.1× 1.4k 1.3× 771 1.7× 830 2.3× 119 0.4× 113 3.2k
Olivier Dauchot France 37 1.8k 1.5× 2.6k 2.5× 1.1k 2.3× 1.1k 3.2× 116 0.3× 100 5.0k
Edan Lerner Netherlands 35 2.7k 2.1× 1.3k 1.3× 254 0.5× 451 1.3× 893 2.7× 90 3.6k
Klaus Kassner Germany 25 1.2k 0.9× 413 0.4× 147 0.3× 165 0.5× 59 0.2× 108 2.1k
Pierfrancesco Urbani France 18 1.1k 0.9× 877 0.8× 223 0.5× 269 0.8× 208 0.6× 32 1.5k
Leticia F. Cugliandolo France 37 2.3k 1.8× 3.6k 3.4× 2.2k 4.7× 620 1.8× 140 0.4× 150 5.4k
Silke Henkes United States 19 716 0.6× 827 0.8× 311 0.7× 434 1.2× 28 0.1× 35 1.5k
S. N. Taraskin United Kingdom 22 1.0k 0.8× 315 0.3× 225 0.5× 90 0.3× 639 1.9× 90 1.8k

Countries citing papers authored by Tomás S. Grigera

Since Specialization
Citations

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

Fields of papers citing papers by Tomás S. Grigera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomás S. Grigera. 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 Tomás S. Grigera. The network helps show where Tomás S. Grigera may publish in the future.

Co-authorship network of co-authors of Tomás S. Grigera

This figure shows the co-authorship network connecting the top 25 collaborators of Tomás S. Grigera. A scholar is included among the top collaborators of Tomás S. Grigera 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 Tomás S. Grigera. Tomás S. Grigera 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.
Grigera, Tomás S., et al.. (2024). Mean-field solution of the neural dynamics in a Greenberg-Hastings model with excitatory and inhibitory units. Physical review. E. 110(1). 14130–14130.
2.
Chara, Osvaldo, et al.. (2023). Fluctuations in tissue growth portray homeostasis as a critical state and long-time non-Markovian cell proliferation as Markovian. Royal Society Open Science. 10(9). 230871–230871. 1 indexed citations
3.
Nowak, Maciej A., et al.. (2023). Scale-free correlations in the dynamics of a small (N10000) cortical network. Physical review. E. 108(3). 4 indexed citations
4.
Cavagna, Andrea, et al.. (2022). Renormalization group study of marginal ferromagnetism. Physical review. E. 106(5). 54136–54136. 1 indexed citations
5.
Grigera, Tomás S., et al.. (2022). Finite-size correlation behavior near a critical point: A simple metric for monitoring the state of a neural network. Physical review. E. 106(5). 54313–54313. 2 indexed citations
6.
Virgiliis, Andrés De, et al.. (2022). Short-time dynamics in active systems: the Vicsek model. Journal of Physics Condensed Matter. 34(31). 314001–314001. 1 indexed citations
7.
Cavagna, Andrea, et al.. (2021). Dynamical Renormalization Group for Mode-Coupling Field Theories with Solenoidal Constraint. Journal of Statistical Physics. 184(3). 26–26. 3 indexed citations
8.
Cavagna, Andrea, et al.. (2019). Low-temperature marginal ferromagnetism explains anomalous scale-free correlations in natural flocks. Comptes Rendus Physique. 20(4). 319–328. 3 indexed citations
9.
Virgiliis, Andrés De, et al.. (2019). Self-propelled Vicsek particles at low speed and low density. Physical review. E. 99(5). 52602–52602. 9 indexed citations
10.
Cavagna, Andrea, et al.. (2019). Dynamical Renormalization Group Approach to the Collective Behavior of Swarms. Physical Review Letters. 123(26). 268001–268001. 18 indexed citations
11.
Cavagna, Andrea, et al.. (2016). Spatio-temporal correlations in models of collective motion ruled by different dynamical laws. Physical Biology. 13(6). 65001–65001. 7 indexed citations
12.
Grigera, S. A., R. A. Borzi, D. Slobinsky, et al.. (2015). An intermediate state between the kagome-ice and the fully polarized state in Dy<sub>2</sub>Ti<sub>2</sub>O<sub>7</sub>. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 4 indexed citations
13.
Cavagna, Andrea, Irene Giardina, Tomás S. Grigera, et al.. (2015). Silent Flocks: Constraints on Signal Propagation Across Biological Groups. Physical Review Letters. 114(21). 218101–218101. 31 indexed citations
14.
Cavagna, Andrea, et al.. (2015). Specific Heat Anomaly in a Supercooled Liquid with Amorphous Boundary Conditions. Physical Review Letters. 114(22). 225901–225901. 3 indexed citations
15.
Attanasi, Alessandro, Andrea Cavagna, Lorenzo Del Castello, et al.. (2014). Information transfer and behavioural inertia in starling flocks. Nature Physics. 10(9). 691–696. 251 indexed citations breakdown →
16.
Cammarota, Chiara, Andrea Cavagna, Irene Giardina, et al.. (2010). Phase-Separation Perspective on Dynamic Heterogeneities in Glass-Forming Liquids. Physical Review Letters. 105(5). 55703–55703. 42 indexed citations
17.
Ciliberti, Stefano & Tomás S. Grigera. (2004). Localization threshold of instantaneous normal modes from level-spacing statistics. Physical Review E. 70(6). 61502–61502. 16 indexed citations
18.
Grigera, Tomás S., V. Martı́n-Mayor, Giorgio Parisi, & P. Verrocchio. (2003). Phonon interpretation of the ‘boson peak’ in supercooled liquids. Nature. 422(6929). 289–292. 278 indexed citations breakdown →
19.
Grigera, Tomás S., V. Martı́n-Mayor, Giorgio Parisi, & P. Verrocchio. (2001). Vibrational Spectrum of Topologically Disordered Systems. Physical Review Letters. 87(8). 85502–85502. 67 indexed citations
20.
Grigera, Tomás S. & N. E. Israeloff. (1999). Observation of a Fluctuation-Dissipation-Theorem Violation in a Structural Glass. arXiv (Cornell University). 2 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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