Atsushi Hashimoto

1.1k citations
79 papers · 684 indexed · h-index 15
Topics
Multimodal Machine Learning Applications (13 papers)Video Analysis and Summarization (10 papers)Advanced Image and Video Retrieval Techniques (9 papers)

In The Last Decade

Atsushi Hashimoto

73 papers receiving 648 citations

Peers

Atsushi Hashimoto
Comparison fields: 5 of 116
  • Food Science 170
  • Computer Vision and Pattern Recognition 164
  • Biotechnology 107
  • Artificial Intelligence 98
  • Molecular Biology 90
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Citations per field
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Citations per year

Countries citing papers authored by Atsushi Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Hashimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Hashimoto. A scholar is included among the top collaborators of Atsushi Hashimoto 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 Atsushi Hashimoto. Atsushi Hashimoto 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
#WorkIndexed citations
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2 10
3 1
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5 1
6 18
7
Visual Grounding Annotation of Recipe Flow Graph
5
8
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data.
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9 5
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Procedural Text Generation from an Execution Video
3
11 1
12
False Alert Rejection for Detecting Objects on a Table by Touch Reasoning
3
13
TexCut : Background Subtraction by Texture Comparison on Graph Cut
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14
Infrared Spectroscopic Analysis of Saccharides in Aqueous Solutions with Alkaline Metal Salts
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15 2
16 1
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18 4
19 19
20 11

About Atsushi Hashimoto

Atsushi Hashimoto is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biophysics, having authored 79 papers that have together received 684 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (13 papers), Video Analysis and Summarization (10 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Biotechnology (107 citations), Food Science (170 citations) and Computer Vision and Pattern Recognition (164 citations). Atsushi Hashimoto has collaborated with scholars based in Japan, United States and Cambodia. Frequent co-authors include Masaru Shimizu, Hideo Matsuda, Jun Sawai, Takaharu Kameoka, Michihiko Minoh, Hideo Igarashi, Tohru Ishihara, Yoshitaka Ushiku, Yoko Yamakata and Shinsuke Mori. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

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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