Nahuel Freitas

39 total papers · 509 total citations
22 papers, 303 citations indexed

About

Nahuel Freitas is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Nahuel Freitas has authored 22 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 14 papers in Atomic and Molecular Physics, and Optics and 5 papers in Cognitive Neuroscience. Recurrent topics in Nahuel Freitas's work include Advanced Thermodynamics and Statistical Mechanics (18 papers), stochastic dynamics and bifurcation (5 papers) and Neural dynamics and brain function (5 papers). Nahuel Freitas is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (18 papers), stochastic dynamics and bifurcation (5 papers) and Neural dynamics and brain function (5 papers). Nahuel Freitas collaborates with scholars based in Luxembourg, Argentina and Germany. Nahuel Freitas's co-authors include Massimiliano Esposito, Juan Pablo Paz, Jean‐Charles Delvenne, Esteban A. Martinez, H. T. Quan, Vasco Cavina, Karel Proesmans, Giovanna Morigi, Vedran Dunjko and M. Drechsler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Nahuel Freitas

20 papers receiving 300 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nahuel Freitas	235	150	80	40	34	22	303
Jannik Ehrich	255 1.1×	107 0.7×	54 0.7×	14 0.3×	12 0.4×	14	293
Marcus V. S. Bonança	272 1.2×	187 1.2×	78 1.0×	30 0.8×	13 0.4×	26	315
Govind Paneru	202 0.9×	88 0.6×	26 0.3×	29 0.7×	50 1.5×	19	357
Takaaki Monnai	252 1.1×	227 1.5×	72 0.9×	37 0.9×	15 0.4×	23	288
Zhiyue Lu	132 0.6×	98 0.7×	48 0.6×	10 0.3×	18 0.5×	19	255
Lennart Dabelow	297 1.3×	140 0.9×	26 0.3×	32 0.8×	31 0.9×	14	365
André M. Timpanaro	239 1.0×	118 0.8×	55 0.7×	45 1.1×	22 0.6×	16	263
Davide Venturelli	122 0.5×	233 1.6×	99 1.2×	34 0.8×	59 1.7×	22	312
N S Skantzos	187 0.8×	47 0.3×	46 0.6×	11 0.3×	11 0.3×	21	284
Bibek Bhandari	202 0.9×	187 1.2×	85 1.1×	72 1.8×	94 2.8×	19	306

Countries citing papers authored by Nahuel Freitas

Since Specialization

Citations

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

Fields of papers citing papers by Nahuel Freitas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahuel Freitas

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

All Works

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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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