Sándor Kádár

12 total papers · 1.1k total citations
12 papers, 881 citations indexed

About

Sándor Kádár is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Biomedical Engineering. According to data from OpenAlex, Sándor Kádár has authored 12 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 5 papers in Statistical and Nonlinear Physics and 4 papers in Biomedical Engineering. Recurrent topics in Sándor Kádár's work include Nonlinear Dynamics and Pattern Formation (9 papers), stochastic dynamics and bifurcation (5 papers) and Slime Mold and Myxomycetes Research (4 papers). Sándor Kádár is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (9 papers), stochastic dynamics and bifurcation (5 papers) and Slime Mold and Myxomycetes Research (4 papers). Sándor Kádár collaborates with scholars based in United States, Japan and Denmark. Sándor Kádár's co-authors include Kenneth Showalter, Jichang Wang, Takashi Amemiya, István Lengyel, Irving R. Epstein, Peter Jung, Petteri Kettunen, Frank Moss, Peter Jung and Ann Cornell-Bell and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Sándor Kádár

11 papers receiving 861 citations

Author Peers

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

Author Last Decade Papers Cites
Sándor Kádár 717 450 169 167 160 12 881
James W. Swift 714 1.0× 485 1.1× 110 0.7× 107 0.6× 144 0.9× 28 1.0k
Jerzy Masełko 537 0.7× 241 0.5× 130 0.8× 202 1.2× 53 0.3× 39 854
Mark M. Millonas 245 0.3× 577 1.3× 158 0.9× 70 0.4× 95 0.6× 20 819
Anna L. Lin 390 0.5× 258 0.6× 161 1.0× 71 0.4× 57 0.4× 36 1.0k
Ernesto M. Nicola 264 0.4× 227 0.5× 60 0.4× 107 0.6× 59 0.4× 17 710
Dan Tanaka 510 0.7× 426 0.9× 50 0.3× 211 1.3× 222 1.4× 19 1.1k
Ekkehard Ullner 641 0.9× 634 1.4× 104 0.6× 70 0.4× 314 2.0× 28 969
Bambi Hu 272 0.4× 592 1.3× 219 1.3× 65 0.4× 162 1.0× 34 791
Simbarashe Nkomo 764 1.1× 294 0.7× 80 0.5× 378 2.3× 305 1.9× 7 826
E.I. Volkov 769 1.1× 651 1.4× 132 0.8× 86 0.5× 220 1.4× 37 1.1k

Countries citing papers authored by Sándor Kádár

Since Specialization
Citations

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

Fields of papers citing papers by Sándor Kádár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sándor Kádár

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