Takashi Ikegami

2.9k total citations
178 papers, 1.9k citations indexed

About

Takashi Ikegami is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Takashi Ikegami has authored 178 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 28 papers in Cognitive Neuroscience and 23 papers in Molecular Biology. Recurrent topics in Takashi Ikegami's work include Smart Grid Energy Management (23 papers), Neural dynamics and brain function (17 papers) and Electric Vehicles and Infrastructure (15 papers). Takashi Ikegami is often cited by papers focused on Smart Grid Energy Management (23 papers), Neural dynamics and brain function (17 papers) and Electric Vehicles and Infrastructure (15 papers). Takashi Ikegami collaborates with scholars based in Japan, United States and United Kingdom. Takashi Ikegami's co-authors include Kazuhiko Ogimoto, Hiroyuki Iizuka, Kunihiko Kaneko, Yumiko Iwafune, Tom Froese, Hiroyuki Nariai, Toshifumi Takeuchi, Keisuke Kageyama, Chrystopher L. Nehaniv and Junichi Takahashi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Takashi Ikegami

172 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Ikegami Japan 25 605 303 271 193 192 178 1.9k
Masato Ito Japan 36 592 1.0× 601 2.0× 182 0.7× 576 3.0× 149 0.8× 208 4.0k
Alice Wang United States 22 734 1.2× 185 0.6× 177 0.7× 124 0.6× 63 0.3× 51 2.2k
Takayuki Hirano Japan 24 252 0.4× 406 1.3× 63 0.2× 190 1.0× 471 2.5× 103 2.1k
Yansong Li China 19 306 0.5× 198 0.7× 254 0.9× 120 0.6× 72 0.4× 107 1.5k
Kazunori Matsumoto Japan 30 83 0.1× 272 0.9× 564 2.1× 83 0.4× 173 0.9× 204 2.9k
Hiroshi G. Okuno Japan 41 654 1.1× 267 0.9× 667 2.5× 666 3.5× 454 2.4× 466 6.9k
David J. Powell United States 24 114 0.2× 688 2.3× 111 0.4× 167 0.9× 87 0.5× 66 2.4k
Yongqing Zhang China 26 197 0.3× 941 3.1× 280 1.0× 229 1.2× 45 0.2× 169 2.5k
Yuexian Li China 17 319 0.5× 573 1.9× 194 0.7× 69 0.4× 56 0.3× 54 1.7k
Se Young Kim South Korea 36 1.5k 2.4× 1.1k 3.7× 98 0.4× 126 0.7× 70 0.4× 240 4.8k

Countries citing papers authored by Takashi Ikegami

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Ikegami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Ikegami

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Ikegami. A scholar is included among the top collaborators of Takashi Ikegami 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 Takashi Ikegami. Takashi Ikegami 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.
Ikegami, Takashi, et al.. (2024). Minimal Self in Humanoid Robot “Alter3” Driven by Large Language Model. 2 indexed citations
2.
Salter, C. J. & Takashi Ikegami. (2023). Sensing performance: from Balinese character to Japanese androids. 9(1-2). 91–111. 1 indexed citations
3.
Sasaki, Kento, Hirohisa Aki, & Takashi Ikegami. (2021). Application of model predictive control to grid flexibility provision by distributed energy resources in residential dwellings under uncertainty. Energy. 239. 122183–122183. 22 indexed citations
4.
Ikegami, Takashi, et al.. (2019). Predictive Coding as Stimulus Avoidance in Spiking Neural Networks. 271–277. 2 indexed citations
5.
Akisawa, Atsushi, et al.. (2017). Introduction effect of solid oxide fuel cell depending on combination of commercial buildings. 2017.27(0). 415–415. 1 indexed citations
6.
Ikegami, Takashi, et al.. (2016). Massive Data Flows - Self-organization of Energy, Material, and Information Flows. 237–242. 1 indexed citations
7.
Virgo, Nathaniel, et al.. (2015). Learning by Stimulation Avoidance as a Primary Principle of Spiking Neural Networks Dynamics. 175–182. 4 indexed citations
8.
Ikegami, Takashi, et al.. (2015). Potential Memory Effects in Self-Moving Oil Droplets.. International journal of unconventional computing. 11. 345–355. 2 indexed citations
9.
Ikegami, Takashi. (2013). The Self-moving Oil Droplet as a Homeostat. Constructivist Foundations. 9(1). 114–114. 1 indexed citations
10.
Sato, Yuki, Hiroyuki Iizuka, & Takashi Ikegami. (2013). Investigating Extended Embodiment Using a Computational Model and Human Experimentation. Constructivist Foundations. 9(1). 73–84. 1 indexed citations
11.
Ikegami, Takashi, et al.. (2011). HOME ENERGY SUPPLY-DEMAND ANALYSIS FOR COMBINED SYSTEM OF SOLAR HEAT COLLECTOR AND HEAT PUMP WATER HEATER. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 67(6). II_351–II_362. 2 indexed citations
12.
Ikegami, Takashi. (2010). Chemical Robot: Self-organizing Self-moving Oil Droplet. Journal of the Robotics Society of Japan. 28(4). 435–444. 3 indexed citations
13.
Ikegami, Takashi, et al.. (2010). Self-Organization of Subjective Time and Sustainable Autonomy in Mind Time Machine.. Artificial Life. 624–625. 1 indexed citations
14.
Ikegami, Takashi, et al.. (2009). An investigation of active touch using neural networks and a tactile display -- Constructing tactile sensations represented by onomatopoeias. IEICE Technical Report; IEICE Tech. Rep.. 109(83). 17–21. 1 indexed citations
15.
Shimada, Masakazu, et al.. (2008). Analyzing the House Fly's Exploratory Behavior with Autoregression Methods(Cross-disciplinary physics and related areas of science and technology). Journal of the Physical Society of Japan. 77(8). 1 indexed citations
16.
Suzuki, Keisuke & Takashi Ikegami. (2008). Homeodynamics in the Game of Life. Artificial Life. 600–607. 1 indexed citations
17.
Ikegami, Takashi, Toshiya Aramaki, & Keisuke Hanaki. (2008). LIFE CYCLE INVENTORY ANALYSES FOR CO2 EMISSION AND COST OF DISTRICT HEATING AND COOLING SYSTEMS USING WASTEWATER HEAT. 64(2). 107–122. 3 indexed citations
18.
Pollack, Jordan, Mark A. Bedau, Phil Husbands, Takashi Ikegami, & Richard A. Watson. (2004). Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems. ePrints Soton (University of Southampton). 42 indexed citations
19.
Ikegami, Takashi, Yo-ichi Suzuki, Takahiko Shimizu, et al.. (2002). Model mice for tissue-specific deletion of the manganese superoxide dismutase (MnSOD) gene. Biochemical and Biophysical Research Communications. 296(3). 729–736. 101 indexed citations
20.
Hashimoto, Takashi & Takashi Ikegami. (1995). Evolution of symbolic grammar systems. Lecture notes in computer science. 929. 812–823. 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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