Hiroshi Abe

1.1k citations
31 papers · 665 · h-index 11

Impact in

    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Functional Brain Connectivity Studies
    • Visual perception and processing mechanisms
    • EEG and Brain-Computer Interfaces
    • Decision-Making and Behavioral Economics

Papers in

    • Neural dynamics and brain function 10
    • Neural and Behavioral Psychology Studies 7
    • Visual perception and processing mechanisms 5
    • Memory and Neural Mechanisms 4
    • EEG and Brain-Computer Interfaces 4
    • Functional Brain Connectivity Studies 4
    • Blind Source Separation Techniques 5
    • Speech and Audio Processing 3

Hiroshi Abe

31 papers receiving 655 citations

Peers

Hiroshi Abe
Comparison fields: 5 of 89
  • Cognitive Neuroscience 544
  • General Decision Sciences 50
  • Cellular and Molecular Neuroscience 99
  • Sensory Systems 23
  • Developmental Biology 9
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Hiroshi Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hiroshi Abe Line = papers co-authored together Hiroshi Abe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007329
2 2011132
3 202321
4 201521
5 201818
6 201716
7 197615
8 201712
9 201812
10 201510
11 201110
12 20208
13 20157
14 20066
15 20066
16 19705
17 20225
18 20205
19 20084
20 20044

About Hiroshi Abe

Hiroshi Abe is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Molecular Biology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 665 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neural and Behavioral Psychology Studies (7 papers), Visual perception and processing mechanisms (5 papers), Blind Source Separation Techniques (5 papers), Memory and Neural Mechanisms (4 papers), EEG and Brain-Computer Interfaces (4 papers), Functional Brain Connectivity Studies (4 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Cognitive Neuroscience (544 citations), General Decision Sciences (50 citations), Cellular and Molecular Neuroscience (99 citations), Sensory Systems (23 citations) and Developmental Biology (9 citations). Hiroshi Abe has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Madoka Matsumoto, Kenji Matsumoto, Keiji Tanaka, Daeyeol Lee, Noritaka Ichinohe, Wataru Suzuki, Naohisa Miyakawa, Minoru Nakayama, Toshiki Tani and Tetsuo Yamamori. Their work appears in journals such as Frontiers in Neuroanatomy, Neuron, Scientific Reports, Brain and Nature Neuroscience.

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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