Robert Joan‐Arinyo

900 total citations
38 papers, 573 citations indexed

About

Robert Joan‐Arinyo is a scholar working on Industrial and Manufacturing Engineering, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, Robert Joan‐Arinyo has authored 38 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Industrial and Manufacturing Engineering, 13 papers in Computer Graphics and Computer-Aided Design and 11 papers in Computer Networks and Communications. Recurrent topics in Robert Joan‐Arinyo's work include Manufacturing Process and Optimization (21 papers), Robotic Mechanisms and Dynamics (10 papers) and Computational Geometry and Mesh Generation (9 papers). Robert Joan‐Arinyo is often cited by papers focused on Manufacturing Process and Optimization (21 papers), Robotic Mechanisms and Dynamics (10 papers) and Computational Geometry and Mesh Generation (9 papers). Robert Joan‐Arinyo collaborates with scholars based in Spain, United States and Taiwan. Robert Joan‐Arinyo's co-authors include Christoph M. Hoffmann, Christoph Hoffmann, M. Victoria Luzón, Marta R. Hidalgo, Enrique Yeguas-Bolívar, Carlos J. Ogáyar, Rafael J. Segura, José M. Noguera and Xiao-Shan Gao and has published in prestigious journals such as ACM Transactions on Graphics, Applied Soft Computing and Computers & Geosciences.

In The Last Decade

Robert Joan‐Arinyo

38 papers receiving 516 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Joan‐Arinyo Spain 13 369 165 162 121 91 38 573
Glenn A. Kramer United States 9 192 0.5× 54 0.3× 94 0.6× 83 0.7× 71 0.8× 12 359
Bartholomew O. Nnaji United States 14 365 1.0× 15 0.1× 68 0.4× 79 0.7× 129 1.4× 30 497
Brown United States 6 112 0.3× 55 0.3× 64 0.4× 33 0.3× 55 0.6× 17 376
Sang C. Park South Korea 13 257 0.7× 33 0.2× 71 0.4× 74 0.6× 59 0.6× 48 468
T. C. Woo United States 14 775 2.1× 100 0.6× 252 1.6× 87 0.7× 361 4.0× 26 995
Holger Schumann Germany 5 1.0k 2.7× 398 2.4× 31 0.2× 30 0.2× 9 0.1× 16 1.1k
Shinji Imahori Japan 13 485 1.3× 83 0.5× 15 0.1× 21 0.2× 51 0.6× 44 633
Prosenjit Gupta India 9 93 0.3× 113 0.7× 67 0.4× 13 0.1× 32 0.4× 43 302
M. Marefat United States 10 237 0.6× 7 0.0× 56 0.3× 16 0.1× 69 0.8× 38 417
Christian Liebchen Germany 13 491 1.3× 14 0.1× 7 0.0× 41 0.3× 226 2.5× 27 737

Countries citing papers authored by Robert Joan‐Arinyo

Since Specialization
Citations

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

Fields of papers citing papers by Robert Joan‐Arinyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Joan‐Arinyo. 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 Robert Joan‐Arinyo. The network helps show where Robert Joan‐Arinyo may publish in the future.

Co-authorship network of co-authors of Robert Joan‐Arinyo

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

All Works

20 of 20 papers shown
1.
Joan‐Arinyo, Robert, et al.. (2023). Real-time rendering and physics of complex dynamic terrains modeled as CSG trees of DEMs carved with spheres. Computers & Graphics. 114. 306–315. 1 indexed citations
2.
Hidalgo, Marta R. & Robert Joan‐Arinyo. (2016). A Henneberg-based algorithm for generating tree-decomposable minimally rigid graphs. Journal of Symbolic Computation. 79. 232–248. 4 indexed citations
3.
Hidalgo, Marta R. & Robert Joan‐Arinyo. (2013). The Reachability Problem in Constructive Geometric Constraint Solving Based Dynamic Geometry. Journal of Automated Reasoning. 52(1). 99–122. 7 indexed citations
4.
Noguera, José M., Rafael J. Segura, Carlos J. Ogáyar, & Robert Joan‐Arinyo. (2012). A scalable architecture for 3D map navigation on mobile devices. Personal and Ubiquitous Computing. 17(7). 1487–1502. 3 indexed citations
5.
Gao, Xiao-Shan, Christoph M. Hoffmann, & Robert Joan‐Arinyo. (2011). Editorial message. Computer Aided Geometric Design. 29(1). 1–1. 1 indexed citations
6.
Joan‐Arinyo, Robert, M. Victoria Luzón, & Enrique Yeguas-Bolívar. (2010). Parameter tuning of PBIL and CHC evolutionary algorithms applied to solve the Root Identification Problem. Applied Soft Computing. 11(1). 754–767. 9 indexed citations
7.
Yeguas-Bolívar, Enrique, Robert Joan‐Arinyo, & M. Victoria Luzón. (2010). Modeling the Performance of Evolutionary Algorithms on the Root Identification Problem: A Case Study with PBIL and CHC Algorithms. Evolutionary Computation. 19(1). 107–135. 7 indexed citations
8.
Noguera, José M., Rafael J. Segura, Carlos J. Ogáyar, & Robert Joan‐Arinyo. (2010). Navigating large terrains using commodity mobile devices. Computers & Geosciences. 37(9). 1218–1233. 22 indexed citations
9.
Joan‐Arinyo, Robert, et al.. (2009). Treedecomposition of geometric constraint graphs based on computing graph circuits. QRU Quaderns de Recerca en Urbanisme. 113–122. 4 indexed citations
10.
Joan‐Arinyo, Robert, et al.. (2009). A constraint-based dynamic geometry system. Computer-Aided Design. 42(2). 151–161. 14 indexed citations
11.
Joan‐Arinyo, Robert, M. Victoria Luzón, & Enrique Yeguas-Bolívar. (2008). Parameter tunning for PBIL algorithm in geometric constraint solving systems. QRU Quaderns de Recerca en Urbanisme. 37–47. 3 indexed citations
12.
Hoffmann, Christoph M. & Robert Joan‐Arinyo. (2005). A Brief on Constraint Solving. Computer-Aided Design and Applications. 2(5). 655–663. 53 indexed citations
13.
Joan‐Arinyo, Robert, et al.. (2003). Resolución de Restricciones Geométricas. Redalyc (Universidad Autónoma del Estado de México). 7(20). 121–136. 4 indexed citations
14.
Joan‐Arinyo, Robert, et al.. (2003). Transforming an under-constrained geometric constraint problem into a well-constrained one. 33–44. 23 indexed citations
15.
Joan‐Arinyo, Robert, et al.. (2002). Revisiting decomposition analysis of geometric constraint graphs. 1 indexed citations
16.
Joan‐Arinyo, Robert, et al.. (2001). On the Domain of Constructive Geometric Constraint Solving Techniques. 49–54. 16 indexed citations
17.
Joan‐Arinyo, Robert, et al.. (2001). Applying constructive geometric constraint solvers to geometric problems with interval parameters. Nonlinear Analysis. 47(1). 213–224. 7 indexed citations
18.
Joan‐Arinyo, Robert, et al.. (2001). A Constraint Solving-Based Approach to Analyze 2D Geometric Problems With Interval Parameters. Journal of Computing and Information Science in Engineering. 1(4). 341–346. 3 indexed citations
19.
Joan‐Arinyo, Robert, et al.. (1998). CAD and the product master model. Computer-Aided Design. 30(11). 905–918. 92 indexed citations
20.
Hoffmann, Christoph M. & Robert Joan‐Arinyo. (1997). Symbolic Constraints in Constructive Geometric Constraint Solving. Journal of Symbolic Computation. 23(2-3). 287–299. 33 indexed citations

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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