Tadayoshi Shioyama

36 papers receiving 296 citations

Peers

Tadayoshi Shioyama
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 155
  • Industrial and Manufacturing Engineering 81
  • Cognitive Neuroscience 53
  • Electrical and Electronic Engineering 42
  • Automotive Engineering 41
Replace Honghong Yang with:
Honghong Yang China
Peter Barrie United Kingdom
Levente Tamás Romania
Konstantinos A. Tsintotas Greece
Se-Ho Park South Korea
Sanem Sarıel Türkiye
Nickolas S. Sapidis Greece
Jongmin Yu South Korea
Varun Ravi Kumar India
Tadayoshi Shioyama relative to Honghong Yang China Honghong Yang's profile →
Citations per field
00.5×4.5×
Honghong Yang · 1×
Citations per year

Countries citing papers authored by Tadayoshi Shioyama

Since Specialization
Citations

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

Fields of papers citing papers by Tadayoshi Shioyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayoshi Shioyama

This figure shows the co-authorship network connecting the top 25 collaborators of Tadayoshi Shioyama. A scholar is included among the top collaborators of Tadayoshi Shioyama 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 Tadayoshi Shioyama. Tadayoshi Shioyama 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 4
2 9
3
Detection of Pedestrian Crossing using Bipolarity and Projective Invariant
4
4 20
5 14
6 3
7 2
8 1
9 21
10 5
11 13
12 6
13
CAR DETECTION WITH GABOR FILTERS
0
14 1
15 4
16 3
17 13
18 2
19 1
20 10

About Tadayoshi Shioyama

Tadayoshi Shioyama is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 40 papers that have together received 327 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Face recognition and analysis (4 papers) and Image and Object Detection Techniques (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (81 citations), Computer Vision and Pattern Recognition (155 citations) and Human-Computer Interaction (33 citations). Tadayoshi Shioyama has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Mohammad Shorif Uddin, Hiroshi Kise, Toshihide Ibaraki, Haiyuan Wu, Hang Wu, Yasuo Yoshida, Hayato Kobayashi, Genki Yoshikawa, Katsuhisa Ohno and Takashi Shimada. Their work appears in journals such as European Journal of Operational Research, Thin Solid Films and IEEE Transactions on Intelligent Transportation 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026