Troy Chinen

527 citations
9 papers · 297 indexed · h-index 4
Topics
Image and Signal Denoising Methods (6 papers)Digital Filter Design and Implementation (4 papers)Advanced Data Compression Techniques (4 papers)
Journals
Signal Processing Image CommunicationGraphical Models and Image ProcessingProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Partner nations
United StatesJapan

In The Last Decade

Troy Chinen

9 papers receiving 289 citations

Peers

Troy Chinen
Comparison fields: 5 of 30
  • Computer Vision and Pattern Recognition 271
  • Signal Processing 91
  • Artificial Intelligence 29
  • Media Technology 23
  • Computational Mechanics 12
Replace Shigeyuki Sakazawa with:
Shigeyuki Sakazawa Japan
Edward L. Schwartz United States
Yi-Shin Tung Taiwan
Dailan He China
Fabian Mentzer Switzerland
Komal R. Borisagar India
Ning Yan China
Seung-Min Mun South Korea
Adarsh K. Ramasubramonian United States
Troy Chinen relative to Shigeyuki Sakazawa Japan Shigeyuki Sakazawa's profile →
Citations per field
00.5×6.5×
Shigeyuki Sakazawa · 1×
Citations per year

Countries citing papers authored by Troy Chinen

Since Specialization
Citations

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

Fields of papers citing papers by Troy Chinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Troy Chinen

This figure shows the co-authorship network connecting the top 25 collaborators of Troy Chinen. A scholar is included among the top collaborators of Troy Chinen 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 Troy Chinen. Troy Chinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2 223
3 1
4 1
5 2
6 53
7 4
8 2
9 8

About Troy Chinen

Troy Chinen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 9 papers that have together received 297 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Digital Filter Design and Implementation (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Signal Processing (91 citations) and Media Technology (23 citations). Troy Chinen has collaborated with scholars based in United States and Japan. Frequent co-authors include George Toderici, Sung Jin Hwang, David Minnen, Saurabh Singh, Nick Johnston, Damien Vincent, Joel Shor, Michele Covell, Thomas Flohr and Michael W. Marcellin. Their work appears in journals such as Signal Processing Image Communication, Graphical Models and Image Processing and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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