Hiroaki Arie

761 total citations
31 papers, 445 citations indexed

About

Hiroaki Arie is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Hiroaki Arie has authored 31 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 13 papers in Artificial Intelligence and 11 papers in Control and Systems Engineering. Recurrent topics in Hiroaki Arie's work include Robot Manipulation and Learning (10 papers), Neural dynamics and brain function (9 papers) and Action Observation and Synchronization (7 papers). Hiroaki Arie is often cited by papers focused on Robot Manipulation and Learning (10 papers), Neural dynamics and brain function (9 papers) and Action Observation and Synchronization (7 papers). Hiroaki Arie collaborates with scholars based in Japan, South Korea and United States. Hiroaki Arie's co-authors include Tetsuya Ogata, Shigeki Sugano, Jun Tani, Kuniaki Noda, Shingo Murata, Yoshihiro Sakamoto, Tatsuro Yamada, Alexander Schmitz, Yuichi Yamashita and Sungmoon Jeong and has published in prestigious journals such as Sensors, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Hiroaki Arie

31 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroaki Arie Japan 11 173 156 133 118 81 31 445
Ioannis Iossifidis Germany 13 172 1.0× 78 0.5× 108 0.8× 176 1.5× 45 0.6× 36 439
F. Asano Japan 14 93 0.5× 122 0.8× 120 0.9× 69 0.6× 63 0.8× 23 652
Pablo Lanillos Netherlands 14 103 0.6× 137 0.9× 145 1.1× 273 2.3× 93 1.1× 38 599
Eric Martinson United States 12 56 0.3× 98 0.6× 135 1.0× 69 0.6× 77 1.0× 37 393
Matthias Kerzel Germany 12 91 0.5× 149 1.0× 101 0.8× 88 0.7× 68 0.8× 43 380
Andre Gaschler Germany 15 207 1.2× 244 1.6× 238 1.8× 54 0.5× 193 2.4× 35 594
Michael Dose Germany 5 116 0.7× 116 0.7× 185 1.4× 134 1.1× 39 0.5× 7 414
Axel Steinhage Germany 11 60 0.3× 82 0.5× 190 1.4× 122 1.0× 30 0.4× 26 445
Mark Edmonds United States 10 120 0.7× 184 1.2× 75 0.6× 61 0.5× 44 0.5× 19 412
Marcus Kleinehagenbrock Germany 11 132 0.8× 131 0.8× 308 2.3× 37 0.3× 177 2.2× 18 486

Countries citing papers authored by Hiroaki Arie

Since Specialization
Citations

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

Fields of papers citing papers by Hiroaki Arie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Arie

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Arie. A scholar is included among the top collaborators of Hiroaki Arie 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 Hiroaki Arie. Hiroaki Arie 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.
Murata, Shingo, et al.. (2018). Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks. Frontiers in Neurorobotics. 12. 46–46. 1 indexed citations
2.
Yamada, Tatsuro, Shingo Murata, Hiroaki Arie, & Tetsuya Ogata. (2017). Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions. Frontiers in Neurorobotics. 11. 70–70. 8 indexed citations
3.
Yamada, Tatsuro, Shingo Murata, Hiroaki Arie, & Tetsuya Ogata. (2016). Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human–Robot Interaction. Frontiers in Neurorobotics. 10. 5–5. 25 indexed citations
4.
Arie, Hiroaki, et al.. (2016). Improving IMES Localization Accuracy by Integrating Dead Reckoning Information. Sensors. 16(2). 163–163. 4 indexed citations
5.
Murata, Shingo, et al.. (2015). Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. 326–331. 6 indexed citations
6.
Wang, Wei, et al.. (2015). Accurate indoor positioning using IMES radio. 58. 1966–1971. 2 indexed citations
7.
8.
Murata, Shingo, Yuichi Yamashita, Hiroaki Arie, et al.. (2015). Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. IEEE Transactions on Neural Networks and Learning Systems. 28(4). 830–848. 31 indexed citations
9.
Sakamoto, Yoshihiro, et al.. (2015). Hyperbolic Positioning with Antenna Arrays and Multi-Channel Pseudolite for Indoor Localization. Sensors. 15(10). 25157–25175. 28 indexed citations
10.
Murata, Shingo, Yuichi Yamashita, Hiroaki Arie, et al.. (2014). Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others. 242–248. 5 indexed citations
11.
Murata, Shingo, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, & Jun Tani. (2014). Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism. Advanced Robotics. 28(17). 1189–1203. 7 indexed citations
12.
Satō, Takashi, et al.. (2013). Sensor prediction and grasp stability evaluation for in-hand manipulation. 2479–2484. 12 indexed citations
13.
14.
Noda, Kuniaki, et al.. (2013). Multimodal integration learning of object manipulation behaviors using deep neural networks. 1728–1733. 10 indexed citations
15.
Jeong, Sungmoon, Hiroaki Arie, Minho Lee, & Jun Tani. (2011). Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors. Cognitive Neurodynamics. 6(1). 43–59. 14 indexed citations
16.
Arie, Hiroaki, et al.. (2011). Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network. Neural Networks. 24(4). 311–320. 19 indexed citations
17.
Sakamoto, Yoshihiro, et al.. (2011). Doppler positioning with a movable receiver antenna and a single pseudolite for indoor localization. 19–24. 8 indexed citations
18.
Arie, Hiroaki, et al.. (2009). Creating novel goal-directed actions using chaotic dynamics. 16. 1–6. 3 indexed citations
19.
Arie, Hiroaki, Tetsuya Ogata, Jun Tani, & Shigeki Sugano. (2007). Reinforcement learning of a continuous motor sequence with hidden states. Advanced Robotics. 21(10). 1215–1229. 9 indexed citations
20.
Suga, Y., Hiroaki Arie, Tetsuya Ogata, & Shigeki Sugano. (2005). Constructivist approach to human-robot emotional communication - design of evolutionary function for WAMOEBA-3. 2. 869–884. 1 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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