Hiroshi Abe

1.1k total citations
31 papers, 665 citations indexed

About

Hiroshi Abe is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hiroshi Abe has authored 31 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 5 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Hiroshi Abe's work include Neural dynamics and brain function (10 papers), Neural and Behavioral Psychology Studies (7 papers) and Visual perception and processing mechanisms (5 papers). Hiroshi Abe is often cited by papers focused on Neural dynamics and brain function (10 papers), Neural and Behavioral Psychology Studies (7 papers) and Visual perception and processing mechanisms (5 papers). Hiroshi Abe collaborates with scholars based in Japan, United States and Australia. Hiroshi Abe's co-authors include Madoka Matsumoto, Kenji Matsumoto, Keiji Tanaka, Daeyeol Lee, Noritaka Ichinohe, Wataru Suzuki, Naohisa Miyakawa, Minoru Nakayama, Toshiki Tani and Tetsuo Yamamori and has published in prestigious journals such as Neuron, Nature Neuroscience and Brain.

In The Last Decade

Hiroshi Abe

31 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Abe Japan 11 544 99 73 50 49 31 665
Mona M. Garvert Germany 9 558 1.0× 102 1.0× 79 1.1× 36 0.7× 41 0.8× 17 674
Reka Daniel United States 8 582 1.1× 73 0.7× 66 0.9× 64 1.3× 33 0.7× 9 757
Jacqueline Scholl United Kingdom 13 599 1.1× 83 0.8× 82 1.1× 63 1.3× 16 0.3× 25 759
Aaron M. Bornstein United States 14 661 1.2× 154 1.6× 62 0.8× 104 2.1× 34 0.7× 32 842
Katherine E. Conen United States 6 308 0.6× 49 0.5× 26 0.4× 62 1.2× 24 0.5× 6 394
David L. Barack United States 11 605 1.1× 80 0.8× 85 1.2× 31 0.6× 20 0.4× 21 785
Kinjan Parikh United States 3 385 0.7× 45 0.5× 42 0.6× 46 0.9× 21 0.4× 4 454
Payam Piray United States 13 508 0.9× 157 1.6× 55 0.8× 88 1.8× 38 0.8× 20 767
Chantal Roggeman Belgium 12 479 0.9× 62 0.6× 51 0.7× 31 0.6× 60 1.2× 14 728
Leonhard Waschke Germany 8 525 1.0× 83 0.8× 21 0.3× 25 0.5× 19 0.4× 10 611

Countries citing papers authored by Hiroshi Abe

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Abe

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Abe. A scholar is included among the top collaborators of Hiroshi Abe 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 Hiroshi Abe. Hiroshi Abe 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.
Abe, Hiroshi, Mark J. Buckley, Kentaro Miyamoto, et al.. (2024). Direct current stimulation modulates prefrontal cell activity and behaviour without inducing seizure-like firing. Brain. 147(11). 3751–3763. 2 indexed citations
2.
Wang, Jiaxuan, Shahrokh Heidari, Toshiki Tani, et al.. (2024). A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images. Neuroinformatics. 22(4). 745–761. 1 indexed citations
3.
Watakabe, Akiya, Henrik Skibbe, Ken Nakae, et al.. (2023). Local and long-distance organization of prefrontal cortex circuits in the marmoset brain. Neuron. 111(14). 2258–2273.e10. 21 indexed citations
4.
Abe, Hiroshi, et al.. (2022). Dimension of visual information interacts with working memory in monkeys and humans. Scientific Reports. 12(1). 5335–5335. 5 indexed citations
5.
Woodward, Alexander, Rui Gong, Hiroshi Abe, et al.. (2020). The NanoZoomer artificial intelligence connectomics pipeline for tracer injection studies of the marmoset brain. Brain Structure and Function. 225(4). 1225–1243. 5 indexed citations
6.
7.
Suzuki, Taiji, et al.. (2018). Spectral-Pruning: Compressing deep neural network via spectral analysis. arXiv (Cornell University). 3 indexed citations
8.
Abe, Hiroshi, Toshiki Tani, Hiromi Mashiko, et al.. (2018). Axonal Projections From the Middle Temporal Area in the Common Marmoset. Frontiers in Neuroanatomy. 12. 89–89. 18 indexed citations
9.
Abe, Hiroshi, Toshiki Tani, Hiromi Mashiko, et al.. (2017). 3D reconstruction of brain section images for creating axonal projection maps in marmosets. Journal of Neuroscience Methods. 286. 102–113. 16 indexed citations
10.
Suzuki, Wataru, et al.. (2015). Functional columns in superior temporal sulcus areas of the common marmoset. Neuroreport. 26(18). 1133–1139. 10 indexed citations
11.
Abe, Hiroshi, et al.. (2015). Anatomical inputs to sulcal portions of areas 9m and 8Bm in the macaque monkey. Frontiers in Neuroanatomy. 9. 30–30. 7 indexed citations
12.
Suzuki, Wataru, et al.. (2015). Mirror Neurons in a New World Monkey, Common Marmoset. Frontiers in Neuroscience. 9. 459–459. 21 indexed citations
13.
Abe, Hiroshi, Hyojung Seo, & Daeyeol Lee. (2011). The prefrontal cortex and hybrid learning during iterative competitive games. Annals of the New York Academy of Sciences. 1239(1). 100–108. 10 indexed citations
14.
Abe, Hiroshi & Daeyeol Lee. (2011). Distributed Coding of Actual and Hypothetical Outcomes in the Orbital and Dorsolateral Prefrontal Cortex. Neuron. 70(4). 731–741. 132 indexed citations
15.
Nakayama, Minoru & Hiroshi Abe. (2009). The Possibility of Single-trial Classification of Viewed Characters using EEG Waveforms. The European Symposium on Artificial Neural Networks. 2 indexed citations
16.
Matsumoto, Madoka, Kenji Matsumoto, Hiroshi Abe, & Keiji Tanaka. (2007). Medial prefrontal cell activity signaling prediction errors of action values. Nature Neuroscience. 10(5). 647–656. 329 indexed citations
17.
Matsumoto, Kenji, Madoka Matsumoto, & Hiroshi Abe. (2006). Goal-based action selection and utility-based action bias. Neural Networks. 19(8). 1315–1320. 6 indexed citations
18.
Nishikawa, Tsuyoki, et al.. (2004). Overdetermined Blind Separation for Real Convolutive Mixtures of Speech Based on Multistage ICA Using Subarray Processing. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(8). 1924–1932. 1 indexed citations
19.
Orita, Y, et al.. (1976). A metal complexing property of furosemide and bumetanide: determination of pK and stability constant.. PubMed. 26(1). 11–3. 15 indexed citations
20.
Miyai, K, et al.. (1970). Radio-immuno- and paper-electrophoretic analysis of 3,5,3′-L-tri-iodothyronine-binding proteins in normal human sera. Clinica Chimica Acta. 30(2). 259–266. 5 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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