Tetsutaro Uehara
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Co-authors
- Songpon TeerakanokRyôichi SasakiYifan WangWarô NakanishiSatoko HayashiAtsuo InomataK. P. ChowSiu‐Ming Yiu
- Topics
- Advanced Malware Detection Techniques (14 papers)Digital and Cyber Forensics (12 papers)Advanced Steganography and Watermarking Techniques (9 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Tetsutaro Uehara
50 papers receiving 546 citations
Peers
Comparison fields: 5 of 63
- Information Systems 233
- Computer Vision and Pattern Recognition 163
- Computer Networks and Communications 161
- Signal Processing 105
- Artificial Intelligence 105
Countries citing papers authored by Tetsutaro Uehara
This map shows the geographic impact of Tetsutaro Uehara'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 Tetsutaro Uehara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsutaro Uehara more than expected).
Fields of papers citing papers by Tetsutaro Uehara
This network shows the impact of papers produced by Tetsutaro Uehara. 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 Tetsutaro Uehara. The network helps show where Tetsutaro Uehara may publish in the future.
Co-authorship network of co-authors of Tetsutaro Uehara
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsutaro Uehara. A scholar is included among the top collaborators of Tetsutaro Uehara 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 Tetsutaro Uehara. Tetsutaro Uehara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 64 | |
| 8 | 1 | |
| 9 | 70 | |
| 10 | Darkweb Analysis System by Combining HSDir's Snooping and Active Scanning | 1 |
| 11 | Cloud Foren：A Novel Framework for Digital Forensics in Cloud Computing | 1 |
| 12 | 31 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | Contents based Mass - Mail Filtering | 0 |
| 18 | An Automatic Parallelizing Compiler MIRAI with Data Distribution Function and its Runtime Support System Fagus for Distributed Memory Architecture. | 0 |
| 19 | The Design and Implementation of cc-COMA as a Platform for Distributed-Memory Machines. | 0 |
| 20 | 2 |
About Tetsutaro Uehara
Tetsutaro Uehara is a scholar working on Signal Processing, Information Systems and Software, having authored 58 papers that have together received 576 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), Digital and Cyber Forensics (12 papers) and Advanced Steganography and Watermarking Techniques (9 papers). The work is most often cited by research in Information Systems (233 citations), Signal Processing (105 citations) and Toxicology (33 citations). Tetsutaro Uehara has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Songpon Teerakanok, Ryôichi Sasaki, Yifan Wang, Warô Nakanishi, Satoko Hayashi, Atsuo Inomata, K. P. Chow, Siu‐Ming Yiu, Lucas C. K. Hui and Yasuo Okabe. Their work appears in journals such as International Journal of Hydrogen Energy, IEEE Access and The Journal of Physical Chemistry A.
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.