Hayato Ohwada

824 citations
82 papers · 340 indexed · h-index 10
Topics
Logic, Reasoning, and Knowledge (10 papers)Semantic Web and Ontologies (7 papers)Data Mining Algorithms and Applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaEnvironmental Health PerspectivesArtificial Intelligence

In The Last Decade

Hayato Ohwada

74 papers receiving 319 citations

Peers

Hayato Ohwada
Comparison fields: 5 of 104
  • Artificial Intelligence 76
  • Industrial and Manufacturing Engineering 45
  • Molecular Biology 45
  • Computer Networks and Communications 40
  • Computer Vision and Pattern Recognition 30
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Citations per year

Countries citing papers authored by Hayato Ohwada

Since Specialization
Citations

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

Fields of papers citing papers by Hayato Ohwada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayato Ohwada

This figure shows the co-authorship network connecting the top 25 collaborators of Hayato Ohwada. A scholar is included among the top collaborators of Hayato Ohwada 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 Hayato Ohwada. Hayato Ohwada 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
1 0
2 10
3 8
4 2
5 15
6 4
7 2
8 13
9
Extracting rules to detect cognitive distractions through driving simulation.
1
10
Temporal discretization method and Naïve Bayes Classifier for classifying car driver's cognitive load
5
11 6
12 17
13
A Practical Route Search System for Amusement Parks Navigation
0
14 0
15 9
16 22
17
A constraint logic programming approach for maintaining consistency in user-interface design
7
18
Qualitative Simulation in Parallel Logic Programming.
1
19 19
20 7

About Hayato Ohwada

Hayato Ohwada is a scholar working on Artificial Intelligence, Signal Processing and Human-Computer Interaction, having authored 82 papers that have together received 340 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (10 papers), Semantic Web and Ontologies (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Health Informatics (8 citations), Industrial and Manufacturing Engineering (45 citations) and Transportation (20 citations). Hayato Ohwada has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Fumio Mizoguchi, Mitsuo Gen, Hironori Hiraishi, Hiroyuki Nishiyama, T Kohno, Heri Kuswanto, Shin Aoki, Hirotoshi Iwasaki, Masahiro Shigeta and Atsushi Matsumoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Health Perspectives and Artificial Intelligence.

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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