Hiroyuki Ai

469 total citations
31 papers, 308 citations indexed

About

Hiroyuki Ai is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hiroyuki Ai has authored 31 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 23 papers in Genetics and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hiroyuki Ai's work include Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (23 papers) and Plant and animal studies (16 papers). Hiroyuki Ai is often cited by papers focused on Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (23 papers) and Plant and animal studies (16 papers). Hiroyuki Ai collaborates with scholars based in Japan, Germany and Argentina. Hiroyuki Ai's co-authors include Kiyoaki Kuwasawa, Hiroshi Nishino, Ryohei Kanzaki, Fumio Yokohari, Hidetoshi Ikeno, Akihiro Yoshida, Thomas Wächtler, Randolf Menzel, Jürgen Rybak and Hidehiro Watanabe and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Hiroyuki Ai

31 papers receiving 304 citations

Peers

Hiroyuki Ai

CMN

GENET

EEBS

ECOLO

Hannah Haberkern United States

Markus Mronz Germany

B. Bausenwein Germany

Robin Grob Germany

Andreas Schoofs Germany

Pauline N. Fleischmann Germany

Shiuan‐Tze Wu United States

David Piepenbrock Germany

Birgit Ehmer United States

Anna Honkanen Finland

Hannah Haberkern United States

Hiroyuki Ai

238 ×1.1

CMN

127 ×0.7

GENET

81 ×0.6

EEBS

31 ×0.4

20 ×0.7

ECOLO

Citations per year, relative to Hiroyuki Ai Hiroyuki Ai (= 1×) peers Hannah Haberkern

Countries citing papers authored by Hiroyuki Ai

Since Specialization

Citations

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

Fields of papers citing papers by Hiroyuki Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Ai

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

All Works

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20 of 20 papers shown

Ai, Hiroyuki & Walter M. Farina. (2023). In search of behavioral and brain processes involved in honey bee dance communication. Frontiers in Behavioral Neuroscience. 17. 1140657–1140657. 3 indexed citations

Ai, Hiroyuki, et al.. (2021). The Lifelog Monitoring System for Honeybees: RFID and Camera Recordings in an Observation Hive. Journal of Robotics and Mechatronics. 33(3). 457–465. 5 indexed citations

Arnold, Gérard, et al.. (2021). Interspecific variation of antennal lobe composition among four hornet species. Scientific Reports. 11(1). 20883–20883. 2 indexed citations

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

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

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

Ai, Hiroyuki, et al.. (2018). Inhibitory Pathways for Processing the Temporal Structure of Sensory Signals in the Insect Brain. Frontiers in Psychology. 9. 1517–1517. 3 indexed citations

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

Tejero-Cantero, Álvaro, et al.. (2014). NeuronDepot: keeping your colleagues in sync by combining modern cloud storage services, the local file system, and simple web applications. Frontiers in Neuroinformatics. 8. 55–55. 3 indexed citations

10.

Ai, Hiroyuki, et al.. (2013). Morphological analysis of the primary center receiving spatial information transferred by the waggle dance of honeybees. The Journal of Comparative Neurology. 521(11). 2570–2584. 11 indexed citations

11.

Watanabe, Hidehiro, Hiroyuki Ai, & Fumio Yokohari. (2012). Spatio-temporal activity patterns of odor-induced synchronized potentials revealed by voltage-sensitive dye imaging and intracellular recording in the antennal lobe of the cockroach. Frontiers in Systems Neuroscience. 6. 55–55. 12 indexed citations

12.

Ai, Hiroyuki, et al.. (2009). Response characteristics of vibration‐sensitive interneurons related to Johnston's organ in the honeybee, Apis mellifera. The Journal of Comparative Neurology. 515(2). 145–160. 19 indexed citations

13.

Ai, Hiroyuki, Akihiro Yoshida, & Fumio Yokohari. (2009). Vibration receptive sensilla on the wing margins of the silkworm moth Bombyx mori. Journal of Insect Physiology. 56(3). 236–246. 24 indexed citations

14.

Ai, Hiroyuki. (2009). Vibration-processing interneurons in the honeybee brain. Frontiers in Systems Neuroscience. 3. 19–19. 10 indexed citations

15.

Ai, Hiroyuki, et al.. (2007). Topographic organization of sensory afferents of Johnston's organ in the honeybee brain. The Journal of Comparative Neurology. 502(6). 1030–1046. 50 indexed citations

16.

Ai, Hiroyuki, et al.. (2005). Excitatory neural control of posterograde heartbeat by the frontal ganglion in the last instar larva of a lepidopteran, Bombyx mori. Journal of Comparative Physiology A. 192(2). 175–185. 3 indexed citations

17.

Kuwasawa, Kiyoaki, et al.. (2002). Biogenic amines evoke heartbeat reversal in larvae of the sweet potato hornworm, Agrius convolvuli. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 133(3). 625–636. 16 indexed citations

18.

Ai, Hiroyuki, Koutaroh Okada, Evan S. Hill, & Ryohei Kanzaki. (1998). Spatio-temporal activities in the antennal lobe analyzed by an optical recording method in the male silkworm moth Bombyx mori. Neuroscience Letters. 258(3). 135–138. 8 indexed citations

19.

Ai, Hiroyuki, et al.. (1996). Spatial and temporal analysis of evoked neural activity in optical recordings from American cockroach antennal lobes. Neuroscience Letters. 216(2). 77–80. 4 indexed citations

20.

Ai, Hiroyuki. (1996). Spatial and temporal analysis of evoked neural activity in optical recordings from American cockroach antennal lobes. Neuroscience Letters. 216(2). 77–80. 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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