Masashi Aono

1.9k total citations
71 papers, 1.2k citations indexed

About

Masashi Aono is a scholar working on Biomedical Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Masashi Aono has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 25 papers in Artificial Intelligence and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Masashi Aono's work include Slime Mold and Myxomycetes Research (33 papers), Plant and Biological Electrophysiology Studies (17 papers) and Neural Networks and Reservoir Computing (15 papers). Masashi Aono is often cited by papers focused on Slime Mold and Myxomycetes Research (33 papers), Plant and Biological Electrophysiology Studies (17 papers) and Neural Networks and Reservoir Computing (15 papers). Masashi Aono collaborates with scholars based in Japan, United States and China. Masashi Aono's co-authors include Masahiko Hara, Song-Ju Kim, Makoto Naruse, Yukio‐Pegio Gunji, Soichiro Tsuda, Kazuyuki Aihara, Motoichi Ohtsu, Hirokazu Hori, Shinobu Uemura and Masashi Kunitake and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and Physical Review B.

In The Last Decade

Masashi Aono

69 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masashi Aono Japan 21 512 326 277 229 201 71 1.2k
Jerzy Górecki Poland 22 414 0.8× 163 0.5× 166 0.6× 57 0.2× 191 1.0× 120 1.4k
Miloš Dolnik United States 27 481 0.9× 83 0.3× 55 0.2× 84 0.4× 1.1k 5.3× 74 2.9k
Vilmos Gáspár Hungary 20 207 0.4× 87 0.3× 47 0.2× 27 0.1× 147 0.7× 50 1.4k
K. Yamafuji Japan 27 990 1.9× 324 1.0× 58 0.2× 80 0.3× 122 0.6× 148 2.4k
Aneta Koseska Germany 19 161 0.3× 66 0.2× 70 0.3× 76 0.3× 514 2.6× 40 1.7k
Hirokazu Hori Japan 19 362 0.7× 383 1.2× 202 0.7× 18 0.1× 100 0.5× 92 1.3k
L. Kuhnert Germany 10 363 0.7× 71 0.2× 82 0.3× 25 0.1× 201 1.0× 19 1.1k
Yoash Shapira Israel 16 129 0.3× 76 0.2× 67 0.2× 85 0.4× 177 0.9× 26 1.1k
Hyunsuk Hong South Korea 23 403 0.8× 56 0.2× 63 0.2× 22 0.1× 230 1.1× 60 2.5k
О. П. Черкасова Russia 20 408 0.8× 960 2.9× 12 0.0× 54 0.2× 212 1.1× 103 1.4k

Countries citing papers authored by Masashi Aono

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Aono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Aono

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Aono. A scholar is included among the top collaborators of Masashi Aono 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 Masashi Aono. Masashi Aono 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.
Amano, Hideharu, et al.. (2021). Resource-saving FPGA Implementation of the Satisfiability Problem Solver: AmoebaSATslim. 1–5. 3 indexed citations
2.
Aono, Masashi, et al.. (2020). Amoeba-inspired analog electronic computing system integrating resistance crossbar for solving the travelling salesman problem. Scientific Reports. 10(1). 20772–20772. 8 indexed citations
3.
Adam, Zachary R., et al.. (2018). Estimating the capacity for production of formamide by radioactive minerals on the prebiotic Earth. Scientific Reports. 8(1). 39 indexed citations
4.
Adam, Zachary R., Albert C. Fahrenbach, Betül Kaçar, & Masashi Aono. (2018). Prebiotic Geochemical Automata at the Intersection of Radiolytic Chemistry, Physical Complexity, and Systems Biology. Complexity. 2018(1). 5 indexed citations
5.
Naruse, Makoto, Song-Ju Kim, Masashi Aono, et al.. (2018). Category Theoretic Analysis of Photon-Based Decision Making. International Journal of Information Technology & Decision Making. 17(5). 1305–1333. 6 indexed citations
6.
Afrin, Rehana, et al.. (2016). Surface Force Analysis of Pyrite (FeS<sub>2</sub>): Its Reactivity to Amino Acid Adsorption. Advances in Materials Physics and Chemistry. 6(7). 167–176. 7 indexed citations
7.
Chandru, Kuhan, Alexis Gilbert, Christopher J. Butch, Masashi Aono, & Henderson James Cleaves. (2016). The Abiotic Chemistry of Thiolated Acetate Derivatives and the Origin of Life. Scientific Reports. 6(1). 29883–29883. 50 indexed citations
8.
Kim, Song-Ju, Makoto Naruse, Masashi Aono, Hirokazu Hori, & Takuma Akimoto. (2016). Random walk with chaotically driven bias. Scientific Reports. 6(1). 38634–38634. 8 indexed citations
9.
Aono, Masashi, et al.. (2015). Amoeba-inspired nanoarchitectonic computing implemented using electrical Brownian ratchets. Nanotechnology. 26(23). 234001–234001. 24 indexed citations
10.
Aono, Masashi, Norio Kitadai, & Y. Oono. (2015). A Principled Approach to the Origin Problem. Origins of Life and Evolution of Biospheres. 45(3). 327–338. 6 indexed citations
11.
Aono, Masashi, Song-Ju Kim, Masahiko Hara, & Toshinori Munakata. (2014). Amoeba-inspired Tug-of-War algorithms for exploration–exploitation dilemma in extended Bandit Problem. Biosystems. 117. 1–9. 2 indexed citations
12.
Naruse, Makoto, Song-Ju Kim, Masashi Aono, Hirokazu Hori, & Motoichi Ohtsu. (2014). Chaotic oscillation and random-number generation based on nanoscale optical-energy transfer. Scientific Reports. 4(1). 6039–6039. 12 indexed citations
13.
Zhu, Li, Masashi Aono, Song-Ju Kim, & Masahiko Hara. (2013). Amoeba-based computing for traveling salesman problem: Long-term correlations between spatially separated individual cells of Physarum polycephalum. Biosystems. 112(1). 1–10. 36 indexed citations
14.
Kim, Song-Ju, et al.. (2011). Adaptive Tug-of-war Model for Two-armed Bandit Problem. 45. 2 indexed citations
15.
Zhu, Li, et al.. (2011). Problem-Size Scalability of Amoeba-based Neurocomputer for Traveling Salesman Problem. 45. 3 indexed citations
16.
Aono, Masashi, et al.. (2010). On the Tug-of-war Model for Multi-armed Bandit Problem: -- Bio-inspired Computing Method for Nonlocally-correlated Parallel Searches. IEICE Technical Report; IEICE Tech. Rep.. 110(82). 19–24. 2 indexed citations
17.
Kim, Song-Ju, Masashi Aono, & Masahiko Hara. (2010). Tug-of-war model for the two-bandit problem: Nonlocally-correlated parallel exploration via resource conservation. Biosystems. 101(1). 29–36. 57 indexed citations
18.
Hirata, Yoshito, Masashi Aono, Masahiko Hara, & Kazuyuki Aihara. (2010). Spontaneous mode switching in coupled oscillators competing for constant amounts of resources. Chaos An Interdisciplinary Journal of Nonlinear Science. 20(1). 13117–13117. 7 indexed citations
19.
Aono, Masashi & Masahiko Hara. (2007). Spontaneous deadlock breaking on amoeba-based neurocomputer. Biosystems. 91(1). 83–93. 25 indexed citations
20.
Aono, Masashi & Yukio‐Pegio Gunji. (2003). Beyond input-output computings: error-driven emergence with parallel non-distributed slime mold computer. Biosystems. 71(3). 257–287. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jerzy Górecki Breakdown of academic impact, for papers by Miloš Dolnik Breakdown of academic impact, for papers by Vilmos Gáspár Breakdown of academic impact, for papers by K. Yamafuji Breakdown of academic impact, for papers by Aneta Koseska Breakdown of academic impact, for papers by Hirokazu Hori Breakdown of academic impact, for papers by L. Kuhnert Breakdown of academic impact, for papers by Yoash Shapira Breakdown of academic impact, for papers by Hyunsuk Hong Breakdown of academic impact, for papers by О. П. Черкасова
Rankless by CCL
2026