S. Martı́nez

443 total citations
20 papers, 346 citations indexed

About

S. Martı́nez is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Modeling and Simulation. According to data from OpenAlex, S. Martı́nez has authored 20 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 16 papers in Economics and Econometrics and 9 papers in Modeling and Simulation. Recurrent topics in S. Martı́nez's work include Statistical Mechanics and Entropy (18 papers), Complex Systems and Time Series Analysis (16 papers) and Fractional Differential Equations Solutions (9 papers). S. Martı́nez is often cited by papers focused on Statistical Mechanics and Entropy (18 papers), Complex Systems and Time Series Analysis (16 papers) and Fractional Differential Equations Solutions (9 papers). S. Martı́nez collaborates with scholars based in Argentina, Japan and Colombia. S. Martı́nez's co-authors include A. Plastino, F. Pennini, G.L. Ferri, A. Plastino, Claudio J. Tessone, Sumiyoshi Abe, R. P. Di Sisto, Matías Emiliano Casas, M. Portesi and Thomas Dittrich and has published in prestigious journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and Entropy.

In The Last Decade

S. Martı́nez

19 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Martı́nez Argentina 11 333 214 101 38 34 20 346
J. M. De Miranda Brazil 3 150 0.5× 64 0.3× 27 0.3× 17 0.4× 21 0.6× 3 179
L. P. Karakatsanis Greece 9 170 0.5× 160 0.7× 5 0.0× 22 0.6× 10 0.3× 22 260
Evgenios Pavlos Greece 8 126 0.4× 115 0.5× 4 0.0× 21 0.6× 9 0.3× 18 200
Trambak Bhattacharyya India 7 108 0.3× 35 0.2× 4 0.0× 20 0.5× 24 0.7× 23 228
Károly Ürmössy Hungary 10 153 0.5× 20 0.1× 4 0.0× 10 0.3× 37 1.1× 18 247
A. Antoniazzi Italy 6 189 0.6× 73 0.3× 3 0.0× 48 1.3× 2 0.1× 10 226
Takuya Mizoguchi Japan 10 79 0.2× 14 0.1× 5 0.0× 49 1.3× 15 0.4× 42 263
G. De Ninno Italy 7 146 0.4× 60 0.3× 3 0.0× 32 0.8× 1 0.0× 12 171
M. Arık Türkiye 8 70 0.2× 11 0.1× 5 0.0× 59 1.6× 8 0.2× 20 166
O. V. Teryaev Russia 12 87 0.3× 9 0.0× 4 0.0× 8 0.2× 24 0.7× 33 510

Countries citing papers authored by S. Martı́nez

Since Specialization
Citations

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

Fields of papers citing papers by S. Martı́nez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Martı́nez

This figure shows the co-authorship network connecting the top 25 collaborators of S. Martı́nez. A scholar is included among the top collaborators of S. Martı́nez 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 S. Martı́nez. S. Martı́nez 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.
Martı́nez, S.. (2023). Deep Neural Networks for combined neutrino energy estimate with KM3NeT/ORCA6. Proceedings Of Science. 1035–1035.
2.
Dittrich, Thomas & S. Martı́nez. (2020). Toppling Pencils—Macroscopic Randomness from Microscopic Fluctuations. Entropy. 22(9). 1046–1046. 4 indexed citations
3.
Martı́nez, S., A. Plastino, & B. H. Soffer. (2005). Information and thermodynamics’ first law. Physica A Statistical Mechanics and its Applications. 356(1). 167–171. 2 indexed citations
4.
Ferri, G.L., S. Martı́nez, & A. Plastino. (2005). Equivalence of the four versions of Tsallis’s statistics. Journal of Statistical Mechanics Theory and Experiment. 2005(4). P04009–P04009. 46 indexed citations
5.
Ferri, G.L., S. Martı́nez, & A. Plastino. (2004). The role of constraints in Tsallis' nonextensive treatment revisited. Physica A Statistical Mechanics and its Applications. 347. 205–220. 22 indexed citations
6.
Martı́nez, S. & A. Plastino. (2004). Nonextensive normalized treatment of Clausius equation. Physica A Statistical Mechanics and its Applications. 345(3-4). 493–505. 5 indexed citations
7.
Martı́nez, S., F. Pennini, A. Plastino, & M. Portesi. (2003). q-thermostatistics and the analytical treatment of the ideal Fermi gas. Physica A Statistical Mechanics and its Applications. 332. 230–248. 10 indexed citations
8.
Martı́nez, S., F. Pennini, A. Plastino, & Claudio J. Tessone. (2002). q-Thermostatistics and the black-body radiation problem. Physica A Statistical Mechanics and its Applications. 309(1-2). 85–105. 19 indexed citations
9.
Martı́nez, S., F. Pennini, A. Plastino, & Claudio J. Tessone. (2002). On the equipartition and virial theorems. Physica A Statistical Mechanics and its Applications. 305(1-2). 48–51. 8 indexed citations
10.
Casas, Matías Emiliano, S. Martı́nez, F. Pennini, & A. Plastino. (2002). Thermodynamics and the Tsallis variational problem. Physica A Statistical Mechanics and its Applications. 305(1-2). 41–47. 10 indexed citations
11.
Sisto, R. P. Di, S. Martı́nez, F. Pennini, A. Plastino, & H. Vucetich. (2002). A chemical-physics test for nonextensivity in thermodynamics. Physics Letters A. 302(2-3). 59–63. 2 indexed citations
12.
Abe, Sumiyoshi, S. Martı́nez, F. Pennini, & A. Plastino. (2001). Classical gas in nonextensive optimal Lagrange multipliers formalism. Physics Letters A. 278(5). 249–254. 35 indexed citations
13.
Martı́nez, S., F. Pennini, A. Plastino, & Claudio J. Tessone. (2001). Blackbody radiation in a nonextensive scenario. Physica A Statistical Mechanics and its Applications. 295(1-2). 224–229. 17 indexed citations
14.
Martı́nez, S., F. Pennini, & A. Plastino. (2001). The concept of temperature in a nonextensive scenario. Physica A Statistical Mechanics and its Applications. 295(1-2). 246–249. 25 indexed citations
15.
Martı́nez, S., F. Pennini, & A. Plastino. (2001). Thermodynamics’ zeroth law in a nonextensive scenario. Physica A Statistical Mechanics and its Applications. 295(3-4). 416–424. 32 indexed citations
16.
Martı́nez, S., F. Pennini, & A. Plastino. (2001). Van der Waals equation in a nonextensive scenario. Physics Letters A. 282(4-5). 263–268. 10 indexed citations
17.
Martı́nez, S., F. Pennini, & A. Plastino. (2000). Equipartition and virial theorems in a nonextensive optimal Lagrange multipliers scenario. Physics Letters A. 278(1-2). 47–52. 21 indexed citations
18.
Martı́nez, S., F. Pennini, & A. Plastino. (2000). Dark magnetism revisited. Physica A Statistical Mechanics and its Applications. 282(1-2). 193–202. 4 indexed citations
19.
Sisto, R. P. Di, et al.. (1999). General thermostatistical formalisms, invariance under uniform spectrum translations, and Tsallis q-additivity. Physica A Statistical Mechanics and its Applications. 265(3-4). 590–613. 35 indexed citations
20.
Martı́nez, S., et al.. (1998). Nonlinear Fokker–Planck equations and generalized entropies. Physica A Statistical Mechanics and its Applications. 259(1-2). 183–192. 39 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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