Ignacio Llamas

15 total papers · 537 total citations
11 papers, 404 citations indexed

About

Ignacio Llamas is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Human-Computer Interaction. According to data from OpenAlex, Ignacio Llamas has authored 11 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 9 papers in Computer Graphics and Computer-Aided Design and 4 papers in Human-Computer Interaction. Recurrent topics in Ignacio Llamas's work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (6 papers) and Fluid Dynamics and Heat Transfer (4 papers). Ignacio Llamas is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (6 papers) and Fluid Dynamics and Heat Transfer (4 papers). Ignacio Llamas collaborates with scholars based in United States and United Kingdom. Ignacio Llamas's co-authors include Jarek Rossignac, Byung Moon Kim, Yingjie Liu, Chris Shaw, Xiangmin Jiao, Yingjie Liu, Alexander W. Powell, Andrew Gardner, Greg Turk and Andrew Jones and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Vision Modeling and Visualization.

In The Last Decade

Ignacio Llamas

11 papers receiving 376 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ignacio Llamas	267	249	112	81	48	11	404
Andrea Ricci	179 0.7×	170 0.7×	189 1.7×	49 0.6×	60 1.3×	6	402
Jean-Marc Vézien	198 0.7×	167 0.7×	149 1.3×	70 0.9×	24 0.5×	24	433
Pramook Khungurn	163 0.6×	224 0.9×	278 2.5×	42 0.5×	21 0.4×	8	478
Barbara Mones-Hattal	168 0.6×	144 0.6×	194 1.7×	29 0.4×	24 0.5×	6	423
Gilles Debunne	355 1.3×	328 1.3×	132 1.2×	32 0.4×	15 0.3×	7	495
Luke Olsen	175 0.7×	199 0.8×	196 1.8×	83 1.0×	20 0.4×	11	372
Jonathan M. Kaldor	350 1.3×	267 1.1×	89 0.8×	49 0.6×	7 0.1×	8	486
Laks Raghupathi	153 0.6×	195 0.8×	244 2.2×	28 0.3×	13 0.3×	12	430
Timothy Langlois	180 0.7×	128 0.5×	110 1.0×	16 0.2×	38 0.8×	17	447
Alec Rivers	261 1.0×	248 1.0×	237 2.1×	125 1.5×	22 0.5×	13	491

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-authorship network of co-authors of Ignacio Llamas

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

All Works

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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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