G. Kaniadakis

15 total papers · 950 total citations
11 papers, 694 citations indexed

About

G. Kaniadakis is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Economics and Econometrics. According to data from OpenAlex, G. Kaniadakis has authored 11 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 5 papers in Atomic and Molecular Physics, and Optics and 4 papers in Economics and Econometrics. Recurrent topics in G. Kaniadakis's work include Statistical Mechanics and Entropy (7 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Complex Systems and Time Series Analysis (4 papers). G. Kaniadakis is often cited by papers focused on Statistical Mechanics and Entropy (7 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Complex Systems and Time Series Analysis (4 papers). G. Kaniadakis collaborates with scholars based in Italy and United Kingdom. G. Kaniadakis's co-authors include P. Quarati, M. Lissia, A.M. Scarfone, A. Lavagno, G. Mezzorani, Guido Caldarelli and A. Carbone and has published in prestigious journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and The European Physical Journal Special Topics.

In The Last Decade

G. Kaniadakis

11 papers receiving 663 citations

Author Peers

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

Author Last Decade Papers Cites
G. Kaniadakis 567 239 119 101 80 11 694
Pablo A. Alemany 444 0.8× 219 0.9× 66 0.6× 23 0.2× 225 2.8× 16 605
M. A. Rego-Monteiro 414 0.7× 89 0.4× 376 3.2× 72 0.7× 77 1.0× 35 625
Dirk Jan Bukman 464 0.8× 211 0.9× 115 1.0× 12 0.1× 150 1.9× 15 751
Pierre-Henri Chavanis 454 0.8× 115 0.5× 131 1.1× 318 3.1× 61 0.8× 20 760
Nicholas R. Moloney 166 0.3× 142 0.6× 46 0.4× 56 0.6× 8 0.1× 25 675
Leonardo J. L. Cirto 343 0.6× 89 0.4× 61 0.5× 366 3.6× 28 0.3× 5 606
Gert Roepstorff 263 0.5× 30 0.1× 195 1.6× 38 0.4× 17 0.2× 25 557
Jonathan Miller 284 0.5× 86 0.4× 108 0.9× 99 1.0× 9 0.1× 6 683
Eric Vanden Eijnden 179 0.3× 37 0.2× 20 0.2× 71 0.7× 27 0.3× 21 691
D. Roekaerts 368 0.6× 67 0.3× 230 1.9× 53 0.5× 9 0.1× 35 617

Countries citing papers authored by G. Kaniadakis

Since Specialization
Citations

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

Fields of papers citing papers by G. Kaniadakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kaniadakis

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kaniadakis. A scholar is included among the top collaborators of G. Kaniadakis 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 G. Kaniadakis. G. Kaniadakis 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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