William Bares

594 citations
21 papers · 312 indexed · h-index 10

William Bares

21 papers receiving 287 citations

Peers

William Bares
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 209
  • Computer Graphics and Computer-Aided Design 35
  • Human-Computer Interaction 38
  • Computer Science Applications 32
  • Control and Systems Engineering 86
Replace John Funge with:
John Funge United States
Morihiko Tamai Japan
Edmond C. Prakash Singapore
Vincent Charvillat France
Lucio Ieronutti Italy
Koh Kakusho Japan
Roberto Vivó Spain
Veysi İşler Türkiye
Ricardo Lopes Netherlands
Theophanis Tsandilas France
William Bares relative to John Funge United States John Funge's profile →
Citations per field
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Citations per year

Countries citing papers authored by William Bares

Since Specialization
Citations

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

Fields of papers citing papers by William Bares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside William Bares, 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 William Bares Line = papers co-authored together William Bares links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 20201
3 201911
4 201821
5 20163
6 20151
7 20147
8 20101
9 20053
10 20025
11 20014
12
A Model for Constraint-Based Camera Planning
200030
13 200043
14
Student-sensitive multimodal explanation generation for 3D learning environments
19998
15 19997
16 199923
17
Realtime constraint-based cinematography for complex interactive 3D worlds
199828
18 199851
19 199815
20
Realtime generation of customized 3D animated explanations for knowledge-based learning environments
199722

About William Bares

William Bares is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 21 papers that have together received 312 indexed citations. Recurring topics across this work include Video Analysis and Summarization (11 papers), Human Motion and Animation (9 papers), Advanced Vision and Imaging (8 papers), Teaching and Learning Programming (3 papers), Computer Graphics and Visualization Techniques (3 papers), Educational Games and Gamification (2 papers), Augmented Reality Applications (2 papers) and Creativity in Education and Neuroscience (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Computer Graphics and Computer-Aided Design (35 citations) and Human-Computer Interaction (38 citations). William Bares has collaborated with scholars based in United States, Italy and France. Frequent co-authors include James C. Lester, Bill Manaris, Renée McCauley, Luke Zettlemoyer, Marc Christie, Roberto Ranon, Christine Moore, Junwei Li, Donald R. Schwartz and Byungwoo Kim. Their work appears in journals such as Computer Science Education, Knowledge-Based Systems, Eurographics, National Conference on Artificial Intelligence and Institutional Research Information System (University of Udine).

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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