Akio Yamada

2.2k citations
27 papers · 1.6k indexed · 1 hit paper · h-index 10
Topics
Video Analysis and Summarization (10 papers)Advanced Image and Video Retrieval Techniques (8 papers)Image Retrieval and Classification Techniques (7 papers)

In The Last Decade

Akio Yamada

25 papers receiving 1.4k citations

Hit Papers

Color and texture descriptors200120262009201720012505007501000

Peers

Akio Yamada
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 1.2k
  • Media Technology 247
  • Signal Processing 118
  • Artificial Intelligence 92
  • Oncology 78
Replace Siyuan Peng with:
Siyuan Peng China
Yong Seok Heo South Korea
Manoj Aggarwal United States
Shigeru Muraki Japan
Huiyan Jiang China
Shi Qiu China
Ghulam Murtaza Pakistan
Huihua Yang China
Ying-Lian Gao China
Yunyi Yan China
Akio Yamada relative to Siyuan Peng China Siyuan Peng's profile →
Citations per field
00.5×4.8×
Siyuan Peng · 1×
Citations per year

Countries citing papers authored by Akio Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Akio Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Yamada. A scholar is included among the top collaborators of Akio Yamada 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 Akio Yamada. Akio Yamada 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 1
2 4
3 2
4 118
5 7
6
Color and texture descriptorsbreakdown →
1170
7 8
8 9
9 0
10 5
11 4
12 26
13 65
14 15
15 3
16 29
17 37
18 1
19 1
20 1

About Akio Yamada

Akio Yamada is a scholar working on Computer Vision and Pattern Recognition, Pharmacology and Nutrition and Dietetics, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Analysis and Summarization (10 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (247 citations) and Signal Processing (118 citations). Akio Yamada has collaborated with scholars based in Japan, Albania and United Kingdom. Frequent co-authors include J.-R. Ohm, Varun Vasudevan, B.S. Manjunath, Mitsuru Shimizu, Tetsuo Yamano, Tsutomu Noda, Shigeru Morita, Takeshi Noda, Yuji Tsujimoto and Masaharu Ohmori. Their work appears in journals such as Food and Chemical Toxicology, Clinica Chimica Acta and IEEE Transactions on Circuits and Systems for Video Technology.

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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