A. S. Ito

24.2k total citations · 1 hit paper
80 papers, 1.4k citations indexed

About

A. S. Ito is a scholar working on Computational Theory and Mathematics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, A. S. Ito has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 28 papers in Nuclear and High Energy Physics and 24 papers in Artificial Intelligence. Recurrent topics in A. S. Ito's work include semigroups and automata theory (26 papers), Particle physics theoretical and experimental studies (24 papers) and High-Energy Particle Collisions Research (18 papers). A. S. Ito is often cited by papers focused on semigroups and automata theory (26 papers), Particle physics theoretical and experimental studies (24 papers) and High-Energy Particle Collisions Research (18 papers). A. S. Ito collaborates with scholars based in Japan, United States and Singapore. A. S. Ito's co-authors include W. R. Innes, J. K. Yoh, S. W. Herb, H. Jöstlein, H. D. Snyder, Bruce Brown, K. Ueno, C. N. Brown, D. C. Hom and Leon M. Lederman and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

A. S. Ito

70 papers receiving 1.3k citations

Hit Papers

Observation of a Dimuon Resonance at 9.5 GeV in 400-GeV P... 1977 2026 1993 2009 1977 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. S. Ito Japan 16 1.1k 133 82 67 60 80 1.4k
R.M. Lea United Kingdom 17 450 0.4× 60 0.5× 11 0.1× 173 2.6× 94 1.6× 72 800
Jean-Roch Vlimant United States 13 219 0.2× 272 2.0× 32 0.4× 36 0.5× 55 0.9× 39 502
Yusuke Tanimura Japan 14 301 0.3× 51 0.4× 21 0.3× 19 0.3× 138 2.3× 69 536
Gurtej Kanwar United States 11 226 0.2× 139 1.0× 24 0.3× 11 0.2× 109 1.8× 29 561
Sébastien Racanière United States 11 120 0.1× 154 1.2× 20 0.2× 21 0.3× 50 0.8× 23 427
Attila Pásztor Hungary 21 1.5k 1.4× 75 0.6× 23 0.3× 118 1.8× 176 2.9× 68 2.0k
Gregor Kasieczka Germany 18 712 0.6× 355 2.7× 8 0.1× 17 0.3× 18 0.3× 46 906
Stefano Carrazza Italy 24 3.7k 3.3× 357 2.7× 44 0.5× 89 1.3× 152 2.5× 71 4.1k
Daliang Li United States 14 397 0.4× 147 1.1× 6 0.1× 34 0.5× 68 1.1× 19 696
Yan-Qing Ma China 32 2.6k 2.3× 41 0.3× 59 0.7× 61 0.9× 54 0.9× 79 2.8k

Countries citing papers authored by A. S. Ito

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Ito. 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 A. S. Ito. The network helps show where A. S. Ito may publish in the future.

Co-authorship network of co-authors of A. S. Ito

This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Ito. A scholar is included among the top collaborators of A. S. Ito 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 A. S. Ito. A. S. Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Inoue, Takeru, et al.. (2024). Impact of Facility Factors on Robustness of Communication Networks under Natural Disasters. IEEE Communications Magazine. 63(1). 138–144. 3 indexed citations
3.
Ito, A. S., et al.. (2023). On the Unmixedness Problems of Colored Pushdown Automata. IEICE Transactions on Information and Systems. E106.D(3). 303–308. 1 indexed citations
4.
Ito, A. S., et al.. (2021). Deep-Learning Based Side-Channel Analysis on Cryptographic Hardware with Masking Countermeasure. IEICE Technical Report; IEICE Tech. Rep..
5.
Ito, A. S., et al.. (2005). Some properties of one-pebble Turing machines with sublogarithmic space. Theoretical Computer Science. 341(1-3). 138–149.
6.
Inoue, Katsushi, Yasunori Tanaka, A. S. Ito, & Yue Wang. (2001). Self-Verifying Nondeterministic and Las Vegas Multihead Finite Automata. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 84(5). 1094–1101. 1 indexed citations
7.
Zhang, Lan, et al.. (1999). Alternating Rebound Turing Machines (Special Section on Discrete Mathematics and Its Applications). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(5). 745–755. 2 indexed citations
8.
Zhang, Lan, et al.. (1998). A Note on Probabilistic Rebound Automata. IEICE Transactions on Information and Systems. 81(10). 1045–1052. 1 indexed citations
9.
Xu, Jianliang, Katsushi Inoue, Yue Wang, & A. S. Ito. (1995). A Note on Alternating Pushdown Automata With Sublogarithmic Space. IEICE Transactions on Information and Systems. 906(4). 259–270. 1 indexed citations
10.
Ito, A. S.. (1995). Optimal simulation of two-dimensional alternating finite automata by three-way nondeterministic Turing machines. Theoretical Computer Science. 143(1). 123–135. 1 indexed citations
11.
Koyama-Ito, Hiroko, et al.. (1991). A trial to produce 52Fe for medical use by cyclotron bombardment.. RADIOISOTOPES. 40(3). 118–121. 2 indexed citations
12.
Ito, A. S., Katsushi Inoue, & Itsuo Takanami. (1989). Some Closure Properties of the Class of Sets Accepted by Three-Way Two-Dimensional Alternating Finite Automata. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 72(4). 348–350. 2 indexed citations
13.
Ito, A. S., Katsushi Inoue, & Itsuo Takanami. (1989). Deterministic two-dimensional on-line tessellation acceptors are equivalent to two-way two-dimensional alternating finite automata through 180°-rotation. Theoretical Computer Science. 66(3). 273–287. 6 indexed citations
14.
Ito, A. S., Katsushi Inoue, Itsuo Takanami, & Hiroshi Taniguchi. (1982). Two-dimensional alternating turing machines with only universal states. Information and Control. 55(1-3). 193–221. 20 indexed citations
15.
Hanson, J., Bruce Brown, D. A. Finley, et al.. (1981). A Study of Some Properties Which Determine the Resolution of a Lead-Scintillator Sandwich Electromagnetic Shower Detector. IEEE Transactions on Nuclear Science. 28(1). 514–516.
16.
MacFall, James R., et al.. (1979). Neutral to charged ratio for unaccompanied high-energy cosmic-ray hadrons at mountain altitude. Journal of Physics G Nuclear Physics. 5(6). 861–869. 5 indexed citations
17.
Yoh, J. K., S. W. Herb, D. C. Hom, et al.. (1978). Study of Scaling in Hadronic Production of Dimuons. Physical Review Letters. 41(10). 684–687. 64 indexed citations
18.
Vidal, R. A., S. W. Herb, Leon M. Lederman, et al.. (1978). A search for new massive particles. Physics Letters B. 77(3). 344–346. 26 indexed citations
19.
Kaplan, Daniel M., R. J. Fisk, A. S. Ito, et al.. (1978). Study of the High-Mass Dimuon Continuum in 400-GeV Proton-Nucleus Collisions. Physical Review Letters. 40(7). 435–438. 108 indexed citations
20.
Herb, S. W., D. C. Hom, Leon M. Lederman, et al.. (1977). Observation of a Dimuon Resonance at 9.5 GeV in 400-GeV Proton-Nucleus Collisions. Physical Review Letters. 39(5). 252–255. 543 indexed citations breakdown →

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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