Motoi Iwata

887 total citations
51 papers, 534 citations indexed

About

Motoi Iwata is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Motoi Iwata has authored 51 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 8 papers in Human-Computer Interaction and 7 papers in Artificial Intelligence. Recurrent topics in Motoi Iwata's work include Advanced Steganography and Watermarking Techniques (17 papers), Video Analysis and Summarization (8 papers) and Chaos-based Image/Signal Encryption (6 papers). Motoi Iwata is often cited by papers focused on Advanced Steganography and Watermarking Techniques (17 papers), Video Analysis and Summarization (8 papers) and Chaos-based Image/Signal Encryption (6 papers). Motoi Iwata collaborates with scholars based in Japan, Germany and France. Motoi Iwata's co-authors include Koichi Kise, Akinori Sato, Akira Shiozaki, Masanori Fujita, Jerome J. Connor, Akira WADA, Olivier Augereau, Tōru Takeuchi, Kôichi Yasuda and Masakazu Iwamura and has published in prestigious journals such as IEEE Access, Journal of Structural Engineering and Computer Vision and Image Understanding.

In The Last Decade

Motoi Iwata

41 papers receiving 477 citations

Peers

Motoi Iwata
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 340
  • Civil and Structural Engineering 100
  • Building and Construction 57
  • Artificial Intelligence 47
  • Media Technology 35
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Countries citing papers authored by Motoi Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Motoi Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motoi Iwata

This figure shows the co-authorship network connecting the top 25 collaborators of Motoi Iwata. A scholar is included among the top collaborators of Motoi Iwata 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 Motoi Iwata. Motoi Iwata 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
# Work Indexed citations
1 1
2 0
3 0
4 3
5 1
6 6
7 3
8 4
9
The First Competition of Image and Video by IHC
0
10 4
11 2
12
Audio Watermarking Method by Using DC Component for Sound Quality Improvement
0
13
Digital Watermarking Method Using Variance of Chrominance in the Pairs of Adjoining Blocks
1
14 6
15
VIDEO WATERMARK FOR DETECTING ALTERATION ON SPATIAL DOMAIN
2
16
Digital Steganography Utilizing Features of JPEG Images
68
17
Watermarking Method for Embedding Index Data into Images Utilizing Features of Wavelet Transform
11
18
Index Data Embedding Method Utilizing Quantitative Relation of Wavelet Coefficients
3
19
A Digital Image Watermarking Scheme Withstanding Malicious Attacks
3
20 3

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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