H. Ichihashi

1.5k citations
58 papers · 886 indexed · h-index 15
Topics
Neural Networks and Applications (21 papers)Fuzzy Logic and Control Systems (20 papers)Face and Expression Recognition (18 papers)
Partner nations
JapanCanadaItaly

In The Last Decade

H. Ichihashi

50 papers receiving 795 citations

Peers

H. Ichihashi
Comparison fields: 5 of 83
  • Artificial Intelligence 547
  • Computer Vision and Pattern Recognition 281
  • Management Science and Operations Research 136
  • Signal Processing 126
  • Statistics and Probability 115
Replace Hidetomo Ichihashi with:
Hidetomo Ichihashi Japan
Hajime Nobuhara Japan
Claudia I. González Mexico
Kuhu Pal India
Olivia Mendoza Mexico
Chen‐Chia Chuang Taiwan
Akira Notsu Japan
Hong-Jie Xing China
Xinjun Peng China
Hossein Tahani United States
H. Ichihashi relative to Hidetomo Ichihashi Japan Hidetomo Ichihashi's profile →
Citations per field
00.5×4.8×
Hidetomo Ichihashi · 1×
Citations per year

Countries citing papers authored by H. Ichihashi

Since Specialization
Citations

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

Fields of papers citing papers by H. Ichihashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Ichihashi

This figure shows the co-authorship network connecting the top 25 collaborators of H. Ichihashi. A scholar is included among the top collaborators of H. Ichihashi 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 H. Ichihashi. H. Ichihashi 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 3
2 35
3 3
4 5
5 2
6 69
7 4
8 2
9 1
10 3
11 5
12 5
13 1
14 2
15 7
16 0
17 1
18 3
19 30
20 25

About H. Ichihashi

H. Ichihashi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 58 papers that have together received 886 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (20 papers) and Face and Expression Recognition (18 papers). The work is most often cited by research in Artificial Intelligence (547 citations), Statistics and Probability (115 citations) and Computer Vision and Pattern Recognition (281 citations). H. Ichihashi has collaborated with scholars based in Japan, Canada and Italy. Frequent co-authors include Katsuhiro Honda, Akira Notsu, Kazunori Nagasaka, Takahiro Miyoshi, İ.B. Türkşen, Hideo Tanaka, K. Asai, Yoshihiro Maeda, Hung T. Nguyen and Masahiro Inuiguchi. Their work appears in journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

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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