Yukito Iba

580 total citations
25 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 25 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 Stochastic processes and statistical mechanics (4 papers). Yukito Iba is often cited by papers focused on Theoretical and Computational Physics (10 papers), Neural Networks and Applications (5 papers) and Stochastic processes and statistical mechanics (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, Ken Nakae, Tomoki Fukai, Toshio Aoyagi and Yasuhiro Tsubo 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 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yukito Iba Japan	9	157	123	91	68	63	25	374
Alessia Annibale United Kingdom	13	98 0.6×	54 0.4×	27 0.3×	128 1.9×	55 0.9×	32	314
Jonas Köhler Germany	8	234 1.5×	35 0.3×	236 2.6×	56 0.8×	129 2.0×	23	564
Neal S. Holter United States	9	508 3.2×	48 0.4×	28 0.3×	44 0.6×	53 0.8×	10	752
Matteo Palassini United States	13	168 1.1×	567 4.6×	173 1.9×	332 4.9×	53 0.8×	28	886
Izaak Neri United Kingdom	16	107 0.7×	207 1.7×	29 0.3×	452 6.6×	31 0.5×	32	675
Chulan Kwon South Korea	16	63 0.4×	81 0.7×	62 0.7×	455 6.7×	80 1.3×	39	633
Rohit Jain India	9	66 0.4×	42 0.3×	81 0.9×	136 2.0×	21 0.3×	14	292
M. A. Despósito Argentina	13	136 0.9×	85 0.7×	38 0.4×	296 4.4×	33 0.5×	25	594
Kristina van Duijvendijk France	4	48 0.3×	175 1.4×	113 1.2×	397 5.8×	40 0.6×	4	508
W.Th.F. den Hollander Netherlands	9	202 1.3×	65 0.5×	18 0.2×	43 0.6×	14 0.2×	34	354

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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20 of 20 papers shown

Iba, Yukito & Keisuke Yano. (2023). Posterior Covariance Information Criterion for Weighted Inference. Neural Computation. 35(7). 1340–1361. 2 indexed citations

Iba, Yukito, et al.. (2020). Backward Simulation of Stochastic Process Using a Time Reverse Monte Carlo Method. SOKENDAI (Graduate University for Advanced Studies).

Iba, Yukito. (2020). Mix and Test: An Invitation to Group Testing. 17. 12–12.

Saito, Nen, Yukito Iba, & Koji Hukushima. (2010). Multicanonical sampling of rare events in random matrices. Physical Review E. 82(3). 31142–31142. 13 indexed citations

Iba, Yukito, et al.. (2010). Multicanonical sampling of rare trajectories in chaotic dynamical systems. Computer Physics Communications. 182(1). 251–253. 4 indexed citations

Nakae, Ken, Yukito Iba, Yasuhiro Tsubo, Tomoki Fukai, & Toshio Aoyagi. (2010). Bayesian estimation of phase response curves. Neural Networks. 23(6). 752–763. 11 indexed citations

Iba, Yukito & Shotaro Akaho. (2010). Gaussian Process Regression with Measurement Error. IEICE Transactions on Information and Systems. E93-D(10). 2680–2689. 7 indexed citations

Saito, Nen & Yukito Iba. (2010). Probability of graphs with large spectral gap by multicanonical Monte Carlo. Computer Physics Communications. 182(1). 223–225. 8 indexed citations

Hukushima, Koji & Yukito Iba. (2008). A Monte Carlo algorithm for sampling rare events: application to a search for the Griffiths singularity. Journal of Physics Conference Series. 95. 12005–12005. 5 indexed citations

10.

Iba, Yukito & Koji Hukushima. (2008). Testing Error Correcting Codes by Multicanonical Sampling of Rare Events. Journal of the Physical Society of Japan. 77(10). 103801–103801. 9 indexed citations

11.

Iba, Yukito, et al.. (2006). Detecting generalized synchronization between chaotic signals: a kernel-based approach. Journal of Physics A Mathematical and General. 39(34). 10723–10742. 11 indexed citations

12.

Iba, Yukito, et al.. (2005). Detecting Hidden Synchronization of Chaotic Dynamical Systems: A Kernel-based Approach. arXiv (Cornell University). 2 indexed citations

13.

Iba, Yukito, et al.. (2005). Exploration of Multi-Dimensional Density of States by Multicanonical Monte Carlo Algorithm. Progress of Theoretical Physics Supplement. 157. 345–348. 1 indexed citations

14.

Iba, Yukito, et al.. (2005). Detecting Generalized Synchronization of Chaotic Dynamical Systems: A Kernel-based Method and Choice of Its Parameter. arXiv (Cornell University). 1 indexed citations

15.

Iba, Yukito. (2000). Population-based Monte Carlo algorithms. arXiv (Cornell University). 10 indexed citations

16.

Kikuchi, Macoto, George Chikenji, & Yukito Iba. (2000). Multi-Selfoverlap-Ensemble Monte Carlo Method for Lattice Proteins and Heteropolymers. Progress of Theoretical Physics Supplement. 138. 404–405. 2 indexed citations

17.

Kikuchi, Macoto, et al.. (2000). Dynamical Equation Approach to Protein Design. Progress of Theoretical Physics Supplement. 138. 378–383. 4 indexed citations

18.

Iba, Yukito. (1999). Simulation of Spin Glass with Multi-System-Size Ensemble. Journal of the Physical Society of Japan. 68(3). 1057–1058. 1 indexed citations

19.

Iba, Yukito, et al.. (1998). Design Equation: A Novel Approach to Heteropolymer Design. Journal of the Physical Society of Japan. 67(11). 3985–3990. 5 indexed citations

20.

Iba, Yukito, George Chikenji, & Macoto Kikuchi. (1998). Simulation of Lattice Polymers with Multi-Self-Overlap Ensemble. Journal of the Physical Society of Japan. 67(10). 3327–3330. 57 indexed citations

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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