Eiji Kawaguchi

1.2k total citations
63 papers, 768 citations indexed

About

Eiji Kawaguchi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Eiji Kawaguchi has authored 63 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Eiji Kawaguchi's work include Advanced Data Compression Techniques (19 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Algorithms and Data Compression (11 papers). Eiji Kawaguchi is often cited by papers focused on Advanced Data Compression Techniques (19 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Algorithms and Data Compression (11 papers). Eiji Kawaguchi collaborates with scholars based in Japan, United States and Mexico. Eiji Kawaguchi's co-authors include Hideki Noda, Richard O. Eason, Michiharu Niimi, Tsutomu Endo, M.N. Shirazi, Sei‐ichiro Kamata, J. Matsunaga, Rin‐ichiro Taniguchi, Ryosuke Taniguchi and Makoto Amamiya and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Communications and Pattern Recognition.

In The Last Decade

Eiji Kawaguchi

58 papers receiving 676 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eiji Kawaguchi Japan 13 684 130 80 75 48 63 768
W.C. Siu Hong Kong 12 338 0.5× 62 0.5× 64 0.8× 87 1.2× 11 0.2× 33 469
Guillaume Alain Canada 7 215 0.3× 186 1.4× 24 0.3× 86 1.1× 17 0.4× 8 410
S. Y. Lu United States 9 159 0.2× 134 1.0× 36 0.5× 19 0.3× 36 0.8× 19 326
Piero Zamperoni Germany 8 214 0.3× 68 0.5× 58 0.7× 33 0.4× 14 0.3× 30 366
Michael D. Adams Canada 11 346 0.5× 45 0.3× 34 0.4× 163 2.2× 49 1.0× 51 468
Sheng-He Sun China 14 640 0.9× 83 0.6× 55 0.7× 118 1.6× 16 0.3× 64 769
Michael Hötter Germany 8 578 0.8× 33 0.3× 44 0.6× 249 3.3× 28 0.6× 12 617
Guangyong Gao China 12 420 0.6× 83 0.6× 44 0.6× 45 0.6× 25 0.5× 44 520
Bryan Usevitch United States 8 376 0.5× 47 0.4× 56 0.7× 191 2.5× 15 0.3× 21 457
Hanqing Zhao China 10 803 1.2× 217 1.7× 45 0.6× 94 1.3× 8 0.2× 19 892

Countries citing papers authored by Eiji Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Kawaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Kawaguchi. A scholar is included among the top collaborators of Eiji Kawaguchi 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 Eiji Kawaguchi. Eiji Kawaguchi 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
1.
Kawaguchi, Eiji, et al.. (2006). A Model of Digital Contents Access Control System Using Steganographic Information Hiding Scheme. European Journal of Combinatorics. 50–61. 5 indexed citations
2.
Niimi, Michiharu, et al.. (2004). Detecting Signatures from BPCS-Steganography Using Complexity Histogram Analysis. The Journal of The Institute of Image Information and Television Engineers. 58(2). 243–250. 1 indexed citations
3.
Niimi, Michiharu, et al.. (2003). A Framework for a Simple Sentence Paraphrase Using Concept Hieararchy in SD-Form Semantics Model.. European Journal of Combinatorics. 55–66. 5 indexed citations
4.
Kamata, Sei‐ichiro, et al.. (2003). A camera calibration using four point-targets. 2. 550–553. 1 indexed citations
5.
Niimi, Michiharu, Richard O. Eason, Hideki Noda, & Eiji Kawaguchi. (2002). A Method to Apply BPCS-Steganography to Palette-Based Images Using Luminance Quasi-Preserving Color Quantization. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(9). 2141–2148. 1 indexed citations
6.
Noda, Hideki, Katsuya Harada, & Eiji Kawaguchi. (1999). A Context-Dependent Sequential Decision for Speaker Verification. IEICE Transactions on Information and Systems. 82(10). 1433–1436. 2 indexed citations
7.
Kawaguchi, Eiji & Richard O. Eason. (1999). <title>Principles and applications of BPCS steganography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3528. 464–473. 114 indexed citations
8.
Niimi, Michiharu, et al.. (1998). A Study on the Steganography using Bit-Plane Complexity Segmentation.. 151–156. 1 indexed citations
9.
Kawaguchi, Eiji, et al.. (1998). A Concept of Digital Picture Envelope for Internet Communication.. European Journal of Combinatorics. 343–350. 1 indexed citations
10.
Kawaguchi, Eiji, et al.. (1998). Toward development of multimedia database system for conversational natural language. IOS Press eBooks. 69–83.
11.
Harada, Katsuya, Hideki Noda, & Eiji Kawaguchi. (1997). Text-independent Speaker Verification Using Sequential Decision. 97(207). 67–72. 2 indexed citations
12.
Niimi, Michiharu, Hideki Noda, & Eiji Kawaguchi. (1997). A Data Embedding Method By a Complexity Based Region Segmentation. 97(70). 39–44. 1 indexed citations
13.
Kawaguchi, Eiji, et al.. (1995). A Neural Net Classifier for Multi-Temporal LANDSAT TM Images. IEICE Transactions on Information and Systems. 78(10). 1295–1300. 1 indexed citations
14.
Kamata, Sei‐ichiro, Richard O. Eason, & Eiji Kawaguchi. (1993). Implementation of the Hilbert scanning algorithm and its application to data compression. IEICE Transactions on Information and Systems. 420–428. 17 indexed citations
15.
Kamata, Sei‐ichiro, Richard O. Eason, & Eiji Kawaguchi. (1993). An Implementation of the Hilbert Scanning Algorithm and Its Application to Data Compression (Special Issue on Image Processing and Understanding). IEICE Transactions on Information and Systems. 76(4). 420–428. 3 indexed citations
16.
Kamata, Sei‐ichiro, et al.. (1993). A Computation of Hilbert's Space-Filling Curves in N Dimensional Space. Transactions of the Institute of Electronics, Information and Communication Engineers. 76(3). 797–801. 2 indexed citations
17.
Kamata, Sei‐ichiro, Richard O. Eason, & Eiji Kawaguchi. (1991). Classification of LANDSAT Image Data and Its Evaluation Using a Neural Network Approach. Transactions of the Society of Instrument and Control Engineers. 27(11). 1302–1306. 8 indexed citations
18.
Taniguchi, Ryosuke, Makoto Amamiya, & Eiji Kawaguchi. (1989). Knowledge-based image processing system: IPSSENS-II. International Conference on Image Processing. 462–466. 5 indexed citations
19.
Kawaguchi, Eiji, et al.. (1980). KNOWLEDGE BASED RECOGNITION SYSTEM OF WEATHER CHART.. 2 indexed citations
20.
Kawaguchi, Eiji, et al.. (1979). An understanding system of natural language and pictorial pattern in the world of weather report. International Joint Conference on Artificial Intelligence. 469–474. 2 indexed citations

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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