Ignacio Llamas

538 citations
11 papers · 404 · h-index 9

Impact in

Papers in

Ignacio Llamas

11 papers receiving 376 citations

Peers

Ignacio Llamas
Comparison fields: 5 of 47
  • Computer Graphics and Computer-Aided Design 249
  • Human-Computer Interaction 81
  • Computational Mechanics 267
  • Computer Vision and Pattern Recognition 112
  • Cognitive Neuroscience 48
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M. Ikits United States
Nelson S.-H. Chu Hong Kong
Jihun Yu United States
Tsuneya Kurihara Japan
Adam G. Kirk United States
Masayuki Nakajima Japan
Lingyu Wei United States
Wolfgang Stürzlinger Canada
Jorge López‐Moreno Spain
Yuliy Schwartzburg Switzerland
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Countries citing papers authored by Ignacio Llamas

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Llamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ignacio Llamas, 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 Ignacio Llamas Line = papers co-authored together Ignacio Llamas links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200679
2 200766
3 200761
4 200361
5 200342
6 200333
7 200521
8
Efficient Estimation of Spatially Varying Subsurface Scattering Parameters
200620
9 200713
10
Finger Sculpting with Digital Clay
20024
11 20074

About Ignacio Llamas

Ignacio Llamas is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 11 papers that have together received 404 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (6 papers), Interactive and Immersive Displays (4 papers), Fluid Dynamics and Heat Transfer (4 papers), Pickering emulsions and particle stabilization (2 papers), Tactile and Sensory Interactions (2 papers), Teleoperation and Haptic Systems (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (249 citations), Human-Computer Interaction (81 citations), Computational Mechanics (267 citations), Computer Vision and Pattern Recognition (112 citations) and Cognitive Neuroscience (48 citations). Ignacio Llamas has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jarek Rossignac, Byung Moon Kim, Yingjie Liu, Chris Shaw, Xiangmin Jiao, Yingjie Liu, Alexander W. Powell, Paul Debevec, Greg Turk and Andrew Gardner. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Vision Modeling and Visualization and SMARTech Repository (Georgia Institute of Technology).

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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