Georgios Arampatzis

35 total papers · 501 total citations
15 papers, 297 citations indexed

About

Georgios Arampatzis is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Georgios Arampatzis has authored 15 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistical and Nonlinear Physics, 2 papers in Molecular Biology and 2 papers in Condensed Matter Physics. Recurrent topics in Georgios Arampatzis's work include Model Reduction and Neural Networks (2 papers), Blood properties and coagulation (2 papers) and COVID-19 epidemiological studies (2 papers). Georgios Arampatzis is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Blood properties and coagulation (2 papers) and COVID-19 epidemiological studies (2 papers). Georgios Arampatzis collaborates with scholars based in Switzerland, United States and Greece. Georgios Arampatzis's co-authors include Petros Koumoutsakos, Pantelis R. Vlachas, Caroline Uhler, Costas Papadimitriou, Wonmin Byeon, Manuel Domínguez‐Rodrigo, Enrique Baquedano, José Yravedra, Miguel Ángel Maté‐González and Julija Zavadlav and has published in prestigious journals such as Scientific Reports, Biophysical Journal and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Georgios Arampatzis

15 papers receiving 284 citations

Author Peers

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

Author Last Decade Papers Cites
Georgios Arampatzis 60 47 36 30 29 15 297
Sui Tang 81 1.4× 61 1.3× 27 0.8× 21 0.7× 11 0.4× 28 248
A E De Barr 19 0.3× 21 0.4× 19 0.5× 7 0.2× 23 0.8× 18 356
Charles C. Margossian 59 1.0× 40 0.9× 40 1.1× 74 2.5× 10 0.3× 6 288
Franca Hoffmann 31 0.5× 51 1.1× 15 0.4× 52 1.7× 24 0.8× 17 243
Marek Rybaczuk 73 1.2× 8 0.2× 29 0.8× 27 0.9× 34 1.2× 37 348
Carl Leake 122 2.0× 42 0.9× 51 1.4× 39 1.3× 16 0.6× 14 251
Hunter Johnston 142 2.4× 44 0.9× 59 1.6× 46 1.5× 17 0.6× 13 307
Matthew W. Scroggs 36 0.6× 13 0.3× 66 1.8× 8 0.3× 31 1.1× 9 273
R. Bains 25 0.4× 18 0.4× 35 1.0× 5 0.2× 19 0.7× 19 349
Guohui Zeng 42 0.7× 67 1.4× 7 0.2× 26 0.9× 70 2.4× 15 322

Countries citing papers authored by Georgios Arampatzis

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Arampatzis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Arampatzis

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