K. Waters

12 papers receiving 796 citations

Peers

K. Waters
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 608
  • Human-Computer Interaction 112
  • Signal Processing 139
  • Computer Graphics and Computer-Aided Design 37
  • Experimental and Cognitive Psychology 94
Replace Igor S. Pandžić with:
Igor S. Pandžić Croatia
Frederic I. Parke United States
E. Petajan United States
Takayuki Nagai Japan
Tommer Leyvand Israel
Tolga Çapın Türkiye
Baptiste Caramiaux France
Kjell Brunnström Sweden
Yu Ding China
Dingzeyu Li United States
K. Waters relative to Igor S. Pandžić Croatia Igor S. Pandžić's profile →
Citations per field
00.5×1.5×
Igor S. Pandžić · 1×
Citations per year

Countries citing papers authored by K. Waters

Since Specialization
Citations

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

Fields of papers citing papers by K. Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside K. Waters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Waters Line = papers co-authored together K. Waters links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1993442
2 1999115
3 200263
4
DEC face: an automatic lip-synchronization algorithm for synthetic faces
199362
5 200248
6 199444
7 199841
8 199524
9 200223
10 199220
11 200218
12 199317
13 20230

About K. Waters

K. Waters is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction, Control and Systems Engineering and Signal Processing, having authored 13 papers that have together received 917 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (3 papers), Interactive and Immersive Displays (2 papers), Medical Image Segmentation Techniques (2 papers), Speech and Audio Processing (2 papers), Psychology of Social Influence (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (608 citations), Human-Computer Interaction (112 citations), Signal Processing (139 citations), Computer Graphics and Computer-Aided Design (37 citations) and Experimental and Cognitive Psychology (94 citations). K. Waters has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Demetri Terzopoulos, James M. Rehg, Michael Loughlin, Salvatore Parise, Lee Sproull, Sara Kiesler, Sing Bing Kang, Behzad Dariush, Steven I. Reger and Timothy Manning. Their work appears in journals such as Computers in Human Behavior, International Journal of Legal Medicine, Multimedia Tools and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Philosophical Transactions of the Royal Society B Biological Sciences.

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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