James McCann

58 papers receiving 1.6k citations

Peers

James McCann
Comparison fields: 5 of 110
  • Human-Computer Interaction 518
  • Computer Graphics and Computer-Aided Design 255
  • Computer Vision and Pattern Recognition 588
  • Architecture 36
  • Automotive Engineering 185
Replace Jun Mitani with:
Jun Mitani Japan
Stelian Coros Switzerland
Emily Whiting United States
Danny M. Kaufman United States
Manfred Lau United Kingdom
Daniel Thalmann Switzerland
Alex Olwal United States
Moritz Bächer Switzerland
Guillem Alenyà Spain
Pascal Volino Switzerland
James McCann relative to Jun Mitani Japan Jun Mitani's profile →
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Citations per year

Countries citing papers authored by James McCann

Since Specialization
Citations

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

Fields of papers citing papers by James McCann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James McCann, 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 James McCann Line = papers co-authored together James McCann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 2009114
3 2018113
4 201597
5 200793
6 201992
7 200890
8 200770
9 202363
10 201959
11 200950
12 202346
13 201643
14 201941
15 201640
16 202138
17 201732
18 201032
19 202127
20 202126

About James McCann

James McCann is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computational Mechanics and Control and Systems Engineering, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (18 papers), Computer Graphics and Visualization Techniques (17 papers), 3D Shape Modeling and Analysis (14 papers), Human Motion and Animation (10 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Video Analysis and Summarization (7 papers), Innovative Human-Technology Interaction (6 papers) and Additive Manufacturing and 3D Printing Technologies (6 papers). The work is most often cited by research in Human-Computer Interaction (518 citations), Computer Graphics and Computer-Aided Design (255 citations), Computer Vision and Pattern Recognition (588 citations), Architecture (36 citations) and Automotive Engineering (185 citations). James McCann has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Nancy S. Pollard, Vidya Narayanan, Scott E. Hudson, Lea Albaugh, Jennifer Mankoff, Jessica K. Hodgins, Christos Faloutsos, Huaishu Peng, Stelian Coros and Lei Li. Their work appears in journals such as ACM Transactions on Graphics, Advanced Functional Materials, Computer Graphics Forum, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and IEEE Transactions on Visualization and Computer Graphics.

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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