Stefan Thurner

29 total papers · 551 total citations
12 papers, 236 citations indexed

About

Stefan Thurner is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Stefan Thurner has authored 12 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistical and Nonlinear Physics, 2 papers in Sociology and Political Science and 1 paper in Political Science and International Relations. Recurrent topics in Stefan Thurner's work include Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers) and Online and Blended Learning (1 paper). Stefan Thurner is often cited by papers focused on Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers) and Online and Blended Learning (1 paper). Stefan Thurner collaborates with scholars based in Austria, United States and Germany. Stefan Thurner's co-authors include Rudolf Hanel, Peter Klimek, Hildegard Meyer‐Ortmanns, Yuri Yegorov, Markus Ebner, Martin Ebner, Mirta Galešić, Sandra Schön, Philipp Leitner and Henrik Olsson and has published in prestigious journals such as Journal of Economic Behavior & Organization, Lecture notes in computer science and arXiv (Cornell University).

In The Last Decade

Stefan Thurner

10 papers receiving 227 citations

Author Peers

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

Author						Papers	Cites
Stefan Thurner	67	49	44	27	23	12	236
Karlheinz Steinmüller	54 0.8×	26 0.5×	45 1.0×	24 0.9×	30 1.3×	20	279
Alex Ryan	57 0.9×	23 0.5×	50 1.1×	77 2.9×	17 0.7×	18	298
Asim Kumer Dey	83 1.2×	56 1.1×	12 0.3×	13 0.5×	22 1.0×	17	238
Raphael S. Zahler	29 0.4×	57 1.2×	23 0.5×	45 1.7×	63 2.7×	17	318
Marco Grassia	140 2.1×	30 0.6×	34 0.8×	7 0.3×	18 0.8×	11	314
Alon Sela	95 1.4×	37 0.8×	51 1.2×	16 0.6×	18 0.8×	17	211
Stanislao Gualdi	101 1.5×	180 3.7×	33 0.8×	26 1.0×	30 1.3×	10	323
Euel W. Elliott	42 0.6×	48 1.0×	82 1.9×	73 2.7×	13 0.6×	9	258
Lionel Tabourier	113 1.7×	19 0.4×	57 1.3×	11 0.4×	12 0.5×	15	263
Ann McCranie	53 0.8×	21 0.4×	51 1.2×	11 0.4×	10 0.4×	8	255

Countries citing papers authored by Stefan Thurner

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Thurner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Thurner

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