Daisuke Horiuchi

1.2k citations
56 papers · 699 · h-index 15

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Atrial Fibrillation Management and Outcomes
    • Cardiac Arrhythmias and Treatments
    • Cardiac electrophysiology and arrhythmias
    • Cardiac pacing and defibrillation studies

Papers in

Daisuke Horiuchi

52 papers receiving 686 citations

Peers

Daisuke Horiuchi
Comparison fields: 5 of 74
  • Health Informatics 192
  • Cardiology and Cardiovascular Medicine 373
  • Radiology, Nuclear Medicine and Imaging 208
  • Internal Medicine 31
  • Family Practice 16
Replace Yu-Sheng Lou with:
Yu-Sheng Lou Taiwan
Ivana Jankovic United States
A Prasad United Kingdom
Dhiraj J. Pangal United States
Zeineb Bouzid United States
Ziad Faramand United States
Søren Zöga Diederichsen Denmark
Hisaki Makimoto Germany
Yujiro Otsuka Japan
Belinda Sandler United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Horiuchi

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Horiuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Horiuchi, 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 Daisuke Horiuchi Line = papers co-authored together Daisuke Horiuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 202382
3 202369
4 201145
5 201537
6 200433
7 202432
8 202232
9 202424
10 202422
11 201419
12 201318
13 200618
14 200716
15 202315
16 201313
17 20149
18 20169
19 20228
20 20168

About Daisuke Horiuchi

Daisuke Horiuchi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Health Informatics and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 699 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (27 papers), Cardiac Arrhythmias and Treatments (24 papers), Cardiac electrophysiology and arrhythmias (19 papers), Cardiac pacing and defibrillation studies (15 papers), Artificial Intelligence in Healthcare and Education (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Radiology practices and education (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (192 citations), Cardiology and Cardiovascular Medicine (373 citations), Radiology, Nuclear Medicine and Imaging (208 citations), Internal Medicine (31 citations) and Family Practice (16 citations). Daisuke Horiuchi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yukio Miki, Hirotaka Takita, Hiroyuki Tatekawa, Daiju Ueda, Ken Okumura, Shingo Sasaki, Masaomi Kimura, Yasuhito Mitsuyama, Taihei Itoh and Shannon L. Walston. Their work appears in journals such as Circulation Journal, Neuroradiology, Journal of Interventional Cardiac Electrophysiology, Journal of Cardiovascular Electrophysiology and Journal of Cardiology.

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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