Yukito Iba

48 total papers · 579 total citations
24 papers, 374 citations indexed

About

Yukito Iba is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Yukito Iba has authored 24 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 10 papers in Condensed Matter Physics and 9 papers in Artificial Intelligence. Recurrent topics in Yukito Iba's work include Theoretical and Computational Physics (10 papers), Neural Networks and Applications (5 papers) and Chaos control and synchronization (4 papers). Yukito Iba is often cited by papers focused on Theoretical and Computational Physics (10 papers), Neural Networks and Applications (5 papers) and Chaos control and synchronization (4 papers). Yukito Iba collaborates with scholars based in Japan and United States. Yukito Iba's co-authors include Macoto Kikuchi, George Chikenji, Koji Hukushima, Nen Saito, Kazuyuki Aihara, Shotaro Akaho, Toshio Aoyagi, Yasuhiro Tsubo, Ken Nakae and Tomoki Fukai and has published in prestigious journals such as Physical Review Letters, Computer Physics Communications and Neural Computation.

In The Last Decade

Yukito Iba

22 papers receiving 357 citations

Author Peers

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

Author Last Decade Papers Cites
Yukito Iba 157 123 91 68 64 24 374
Marco Pretti 70 0.4× 185 1.5× 119 1.3× 77 1.1× 29 0.5× 39 406
Pierre Monmarché 103 0.7× 34 0.3× 44 0.5× 159 2.3× 35 0.5× 47 401
T. Plefka 21 0.1× 263 2.1× 68 0.7× 108 1.6× 54 0.8× 18 390
Tarık Çelik 128 0.8× 208 1.7× 103 1.1× 83 1.2× 16 0.3× 25 346
Paul Trunfio 118 0.8× 152 1.2× 34 0.4× 108 1.6× 16 0.3× 21 387
Péter Koltai 101 0.6× 18 0.1× 44 0.5× 184 2.7× 50 0.8× 29 378
Ferenc Pázmándi 54 0.3× 243 2.0× 72 0.8× 63 0.9× 43 0.7× 21 402
Th. Koslowski 95 0.6× 89 0.7× 86 0.9× 65 1.0× 23 0.4× 20 385
G. Le Caër 18 0.1× 107 0.9× 72 0.8× 98 1.4× 18 0.3× 18 338
Barbara Coluzzi 106 0.7× 194 1.6× 229 2.5× 51 0.8× 9 0.1× 15 415

Countries citing papers authored by Yukito Iba

Since Specialization
Citations

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

Fields of papers citing papers by Yukito Iba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukito Iba

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