A.M. Scarfone

1.7k total citations
98 papers, 1.2k citations indexed

About

A.M. Scarfone is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, A.M. Scarfone has authored 98 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistical and Nonlinear Physics, 29 papers in Economics and Econometrics and 24 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in A.M. Scarfone's work include Statistical Mechanics and Entropy (60 papers), Complex Systems and Time Series Analysis (29 papers) and Advanced Thermodynamics and Statistical Mechanics (28 papers). A.M. Scarfone is often cited by papers focused on Statistical Mechanics and Entropy (60 papers), Complex Systems and Time Series Analysis (29 papers) and Advanced Thermodynamics and Statistical Mechanics (28 papers). A.M. Scarfone collaborates with scholars based in Italy, Japan and Brazil. A.M. Scarfone's co-authors include Tatsuaki Wada, G. Kaniadakis, M. Lissia, A. Rossani, G. Kaniadakis, P. Quarati, G. Barbero, P. Narayana Swamy, Hiroshi Matsuzoe and Sumiyoshi Abe and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Scientific Reports.

In The Last Decade

A.M. Scarfone

94 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.M. Scarfone Italy 19 924 394 231 181 147 98 1.2k
Ernesto P. Borges Brazil 16 866 0.9× 398 1.0× 193 0.8× 217 1.2× 141 1.0× 46 1.1k
G. Kaniadakis Italy 8 572 0.6× 240 0.6× 122 0.5× 80 0.4× 76 0.5× 11 700
Tatsuaki Wada Japan 17 498 0.5× 190 0.5× 95 0.4× 106 0.6× 100 0.7× 61 710
Qiuping A. Wang France 15 652 0.7× 304 0.8× 146 0.6× 112 0.6× 63 0.4× 67 800
F. Pennini Argentina 17 781 0.8× 339 0.9× 304 1.3× 149 0.8× 61 0.4× 93 936
Evaldo M. F. Curado Brazil 24 2.2k 2.4× 1.1k 2.7× 514 2.2× 498 2.8× 151 1.0× 120 2.7k
Alan J. Bray United Kingdom 27 601 0.7× 241 0.6× 410 1.8× 57 0.3× 186 1.3× 63 2.1k
R. Silva Brazil 21 1.3k 1.4× 491 1.2× 689 3.0× 203 1.1× 135 0.9× 80 2.1k
Z. Włodarczyk Poland 21 1.2k 1.2× 351 0.9× 136 0.6× 108 0.6× 245 1.7× 88 1.7k
Jiulin Du China 18 819 0.9× 248 0.6× 664 2.9× 156 0.9× 54 0.4× 68 1.2k

Countries citing papers authored by A.M. Scarfone

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Scarfone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.M. Scarfone. 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 A.M. Scarfone. The network helps show where A.M. Scarfone may publish in the future.

Co-authorship network of co-authors of A.M. Scarfone

This figure shows the co-authorship network connecting the top 25 collaborators of A.M. Scarfone. A scholar is included among the top collaborators of A.M. Scarfone 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 A.M. Scarfone. A.M. Scarfone 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.
Evangelista, L. R., E. K. Lenzi, G. Barbero, & A.M. Scarfone. (2024). On the Einstein–Smoluchowski relation in the framework of generalized statistical mechanics. Physica A Statistical Mechanics and its Applications. 635. 129491–129491. 3 indexed citations
2.
Wada, Tatsuaki & A.M. Scarfone. (2024). A Hamiltonian approach to the gradient-flow equations in information geometry. The European Physical Journal B. 97(7). 2 indexed citations
3.
Scarfone, A.M., et al.. (2024). New trends in statistical physics of complex systems: theoretical and experimental approaches. The European Physical Journal B. 97(12).
4.
Barbero, G., et al.. (2024). Analytical description of the ionic relaxation in the presence of surface adsorption. Journal of Physics A Mathematical and Theoretical. 57(26). 265005–265005.
5.
Barbero, G., L. R. Evangelista, E. K. Lenzi, & A.M. Scarfone. (2024). Charge accumulation and potential difference generation in ion adsorbing cells. The European Physical Journal B. 97(9). 2 indexed citations
6.
Wada, Tatsuaki & A.M. Scarfone. (2023). On the Kaniadakis Distributions Applied in Statistical Physics and Natural Sciences. Entropy. 25(2). 292–292. 7 indexed citations
7.
Kaniadakis, G., Mauro Maria Baldi, Thomas S. Deisboeck, et al.. (2020). The κ-statistics approach to epidemiology. Scientific Reports. 10(1). 19949–19949. 56 indexed citations
8.
Scarfone, A.M., Hiroshi Matsuzoe, & Tatsuaki Wada. (2020). A study of Rényi entropy based on the information geometry formalism. Journal of Physics A Mathematical and Theoretical. 53(14). 145003–145003. 1 indexed citations
9.
Scarfone, A.M., et al.. (2019). Equivalence between four versions of thermostatistics based on strongly pseudoadditive entropies. Physical review. E. 100(6). 62135–62135. 5 indexed citations
10.
Suyari, Hiroki & A.M. Scarfone. (2014). α-divergence derived as the generalized rate function in a power-law system. arXiv (Cornell University). 130–134. 1 indexed citations
11.
Barbero, G. & A.M. Scarfone. (2013). Cholesteric-nematic transition in an asymmetric strong-weak anchoring cell. Physical Review E. 88(3). 32505–32505. 6 indexed citations
12.
Lelidis, I., G. Barbero, & A.M. Scarfone. (2012). Cholesteric pitch-transitions induced by a magnetic field in a sample containing incomplete number of pitches. Open Physics. 10(3). 9 indexed citations
13.
Scarfone, A.M., I. Lelidis, & G. Barbero. (2011). Cholesteric-nematic transition induced by a magnetic field in the strong-anchoring model. Physical Review E. 84(2). 21708–21708. 16 indexed citations
14.
Scarfone, A.M., Hiroki Suyari, & Tatsuaki Wada. (2009). Gauss’ law of error revisited in the framework of Sharma-Taneja-Mittal information measure. Open Physics. 7(3). 414–420. 5 indexed citations
15.
Scarfone, A.M. & P. Narayana Swamy. (2009). An interacting ensemble of particles in the context of quantum algebra. Journal of Statistical Mechanics Theory and Experiment. 2009(2). P02055–P02055. 19 indexed citations
16.
Carbone, A., G. Kaniadakis, & A.M. Scarfone. (2007). Tails and Ties. The European Physical Journal B. 57(2). 121–125. 8 indexed citations
17.
Wada, Tatsuaki & A.M. Scarfone. (2006). The Boltzmann Temperature and Lagrange Multiplier in Nonextensive Thermostatistics. Progress of Theoretical Physics Supplement. 162. 37–44. 5 indexed citations
18.
Scarfone, A.M. & Tatsuaki Wada. (2005). Thermodynamic equilibrium and its stability for microcanonical systems described by the Sharma-Taneja-Mittal entropy. Physical Review E. 72(2). 26123–26123. 40 indexed citations
19.
Kaniadakis, G., M. Lissia, & A.M. Scarfone. (2005). Two-parameter deformations of logarithm, exponential, and entropy: A consistent framework for generalized statistical mechanics. Physical Review E. 71(4). 46128–46128. 115 indexed citations
20.
Kaniadakis, G., P. Quarati, & A.M. Scarfone. (2001). Generalized Brownian motion and anomalous diffusion. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 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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