Hidetoshi Ikeno

1.0k total citations
82 papers, 716 citations indexed

About

Hidetoshi Ikeno is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hidetoshi Ikeno has authored 82 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 26 papers in Ecology, Evolution, Behavior and Systematics and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hidetoshi Ikeno's work include Insect and Arachnid Ecology and Behavior (32 papers), Plant and animal studies (25 papers) and Neurobiology and Insect Physiology Research (22 papers). Hidetoshi Ikeno is often cited by papers focused on Insect and Arachnid Ecology and Behavior (32 papers), Plant and animal studies (25 papers) and Neurobiology and Insect Physiology Research (22 papers). Hidetoshi Ikeno collaborates with scholars based in Japan, Germany and Austria. Hidetoshi Ikeno's co-authors include Mizue Ohashi, Ryuichi Okada, Yasuhiro Hirano, Masako Dannoura, Keitaro Yamase, Toko Tanikawa, Carlos Collin, Shiro Usui, Kenji Aono and D L Alkon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Neuroscience.

In The Last Decade

Hidetoshi Ikeno

80 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidetoshi Ikeno Japan 15 192 188 172 161 115 82 716
Sridhar Ravi Australia 20 175 0.9× 139 0.7× 272 1.6× 64 0.4× 36 0.3× 61 1.0k
Michael O’Shea Ireland 13 87 0.5× 275 1.5× 67 0.4× 57 0.4× 35 0.3× 35 749
John Murlis United Kingdom 15 478 2.5× 728 3.9× 360 2.1× 1.2k 7.5× 43 0.4× 28 1.7k
Eric L. Peterson Australia 19 150 0.8× 278 1.5× 155 0.9× 30 0.2× 43 0.4× 44 1.3k
Benjamin Risse Germany 15 118 0.6× 261 1.4× 135 0.8× 54 0.3× 11 0.1× 52 970
David Hyde United States 18 67 0.3× 210 1.1× 66 0.4× 83 0.5× 14 0.1× 52 834
Álvaro Rodríguez Spain 12 39 0.2× 78 0.4× 85 0.5× 20 0.1× 59 0.5× 24 751
Clémentine François France 17 149 0.8× 219 1.2× 78 0.5× 40 0.2× 14 0.1× 30 986
Thomas R. Consi United States 12 31 0.2× 263 1.4× 23 0.1× 183 1.1× 45 0.4× 31 1.2k
James A. Strother United States 17 99 0.5× 295 1.6× 167 1.0× 11 0.1× 27 0.2× 30 1.2k

Countries citing papers authored by Hidetoshi Ikeno

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Ikeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Ikeno

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Ikeno. A scholar is included among the top collaborators of Hidetoshi Ikeno 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 Hidetoshi Ikeno. Hidetoshi Ikeno 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.
Hirano, Yasuhiro, Toko Tanikawa, Keitaro Yamase, et al.. (2024). Intraspecific variation in root system structure in a Pinus thunbergii stand grown in a gravelly spit coast. Journal of Forest Research. 30(3). 187–199. 1 indexed citations
2.
Yamase, Keitaro, Hidetoshi Ikeno, Norifumi Hotta, et al.. (2024). Effect of sprouting and corresponding root distribution of the shrub species Eurya japonica on slope stability. CATENA. 238. 107869–107869. 2 indexed citations
3.
Okada, Ryuichi, Hidetoshi Ikeno, Hitoshi Aonuma, Midori Sakura, & Etsuro Ito. (2023). Honey Bee Waggle Dance as a Model of Swarm Intelligence. Journal of Robotics and Mechatronics. 35(4). 901–910. 2 indexed citations
4.
Ikeno, Hidetoshi, et al.. (2022). A root auto tracing and analysis ( ARATA ): An automatic analysis software for detecting fine roots in images from flatbed optical scanners. Methods in Ecology and Evolution. 13(11). 2372–2378. 4 indexed citations
5.
6.
Ikeno, Hidetoshi, Yasuhiro Hirano, Toko Tanikawa, et al.. (2022). 3D reconstruction using Structure-from-Motion: a new technique for morphological measurement of tree root systems. Plant and Soil. 477(1-2). 829–841. 8 indexed citations
7.
Ikeno, Hidetoshi, Keitaro Yamase, Toko Tanikawa, et al.. (2021). Reconstruction of Conifer Root Systems Mapped with Point Cloud Data Obtained by 3D Laser Scanning Compared with Manual Measurement. Forests. 12(8). 1117–1117. 14 indexed citations
8.
Tanikawa, Toko, Hidetoshi Ikeno, Keitaro Yamase, et al.. (2021). Can ground-penetrating radar detect adjacent roots and rock fragments in forest soil?. Plant and Soil. 468(1-2). 239–257. 2 indexed citations
9.
Tanikawa, Toko, Hidetoshi Ikeno, Keitaro Yamase, et al.. (2020). A quantitative evaluation of soil mass held by tree roots. Trees. 35(2). 527–541. 3 indexed citations
10.
Ai, Hiroyuki, et al.. (2019). Adaptations during Maturation in an Identified Honeybee Interneuron Responsive to Waggle Dance Vibration Signals. eNeuro. 6(5). ENEURO.0454–18.2019. 2 indexed citations
11.
Ai, Hiroyuki, Ryuichi Okada, Midori Sakura, Thomas Wächtler, & Hidetoshi Ikeno. (2019). Neuroethology of the Waggle Dance: How Followers Interact with the Waggle Dancer and Detect Spatial Information. Insects. 10(10). 336–336. 8 indexed citations
12.
Ikeno, Hidetoshi, et al.. (2018). A Segmentation Scheme for Complex Neuronal Arbors and Application to Vibration Sensitive Neurons in the Honeybee Brain. Frontiers in Neuroinformatics. 12. 61–61. 8 indexed citations
13.
Kume, Tomonori, Mizue Ohashi, Naoki Makita, et al.. (2018). Image analysis procedure for the optical scanning of fine-root dynamics: errors depending on the observer and root-viewing window size. Tree Physiology. 38(12). 1927–1938. 14 indexed citations
14.
Hirano, Yasuhiro, Keitaro Yamase, Toko Tanikawa, et al.. (2018). Correction to: Quantification of the contrasting root systems of Pinus thunbergii in soils with different groundwater levels in a coastal forest in Japan. Plant and Soil. 427(1-2). 393–394. 1 indexed citations
15.
Yamase, Keitaro, Toko Tanikawa, Mizue Ohashi, et al.. (2018). Stability of Pinus thunbergii between two contrasting stands at differing distances from the coastline. Forest Ecology and Management. 431. 44–53. 20 indexed citations
16.
Hirano, Yasuhiro, Keitaro Yamase, Toko Tanikawa, et al.. (2018). Quantification of the contrasting root systems of Pinus thunbergii in soils with different groundwater levels in a coastal forest in Japan. Plant and Soil. 426(1-2). 327–337. 20 indexed citations
17.
Ai, Hiroyuki, et al.. (2018). Spatial registration of neuron morphologies based on maximization of volume overlap. BMC Bioinformatics. 19(1). 143–143. 2 indexed citations
18.
Ai, Hiroyuki, et al.. (2017). Interneurons in the Honeybee Primary Auditory Center Responding to Waggle Dance-Like Vibration Pulses. Journal of Neuroscience. 37(44). 10624–10635. 17 indexed citations
19.
Ikeno, Hidetoshi, et al.. (2005). A Visual Conditioning Based on the Optomotor Response in Honeybees. Transactions of the Institute of Electronics, Information and Communication Engineers. 88(10). 2144–2151. 1 indexed citations
20.
Usui, Shiro & Hidetoshi Ikeno. (2004). Neuroinformatics Site for Vision Science: Visiome Platform. 11(4). 193–199.

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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