Guillermo Vigueras

450 total citations
27 papers, 276 citations indexed

About

Guillermo Vigueras is a scholar working on Ocean Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guillermo Vigueras has authored 27 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ocean Engineering, 7 papers in Control and Systems Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guillermo Vigueras's work include Evacuation and Crowd Dynamics (10 papers), Traffic control and management (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Guillermo Vigueras is often cited by papers focused on Evacuation and Crowd Dynamics (10 papers), Traffic control and management (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Guillermo Vigueras collaborates with scholars based in Spain, United Kingdom and Greece. Guillermo Vigueras's co-authors include Miguel Lozano, Juan M. Orduña, Jack Lee, Andrew Cookson, David Nordsletten, Francisco Grimaldo, C. Michler, Taha Sochi, Nicolas P. Smith and Eoin Hyde and has published in prestigious journals such as SHILAP Revista de lepidopterología, Composite Structures and Applied Soft Computing.

In The Last Decade

Guillermo Vigueras

21 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillermo Vigueras Spain 10 54 52 44 42 40 27 276
Jing Qin China 11 26 0.5× 73 1.4× 41 0.9× 35 0.8× 41 1.0× 37 365
Syed Ahsan United Kingdom 12 39 0.7× 344 6.6× 19 0.4× 167 4.0× 21 0.5× 64 659
Tao Zhong China 8 7 0.1× 25 0.5× 273 6.2× 26 0.6× 13 0.3× 17 398
Mohamed A. Abdou Egypt 7 14 0.3× 5 0.1× 74 1.7× 30 0.7× 9 0.2× 28 335
Farhan Hussain Pakistan 11 11 0.2× 49 0.9× 120 2.7× 40 1.0× 6 0.1× 50 428
Ömer Karal Türkiye 9 9 0.2× 7 0.1× 47 1.1× 45 1.1× 3 0.1× 39 306
Bo Peng China 12 7 0.1× 26 0.5× 65 1.5× 105 2.5× 37 0.9× 64 358
Ming Pang China 9 7 0.1× 9 0.2× 78 1.8× 27 0.6× 32 0.8× 49 293
Hongmin Zhu Macao 9 33 0.6× 6 0.1× 70 1.6× 19 0.5× 41 1.0× 17 381
Jin Zhu China 10 10 0.2× 30 0.6× 44 1.0× 39 0.9× 4 0.1× 84 358

Countries citing papers authored by Guillermo Vigueras

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Vigueras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillermo Vigueras

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Vigueras. A scholar is included among the top collaborators of Guillermo Vigueras 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 Guillermo Vigueras. Guillermo Vigueras 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.
Vigueras, Guillermo, Ernestina Menasalvas, María Torrente, et al.. (2024). A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient. Data in Brief. 57. 111167–111167.
2.
Vigueras, Guillermo, et al.. (2024). A PopPBPK-RL approach for precision dosing of benazepril in renal impaired patients. Journal of Pharmacokinetics and Pharmacodynamics. 52(1). 6–6.
3.
Vigueras, Guillermo, et al.. (2024). Saliency Dataset and Predictive Model for Areas of Interest in VVC Perceptual Coding. Zenodo (CERN European Organization for Nuclear Research). 1–6.
4.
Aisopos, Fotis, Dimitrios Vogiatzis, Ernestina Menasalvas, et al.. (2023). Knowledge graphs for enhancing transparency in health data ecosystems1. Semantic Web. 14(5). 943–976. 11 indexed citations
5.
Vigueras, Guillermo, et al.. (2021). Towards Treatment Patterns Validation in Lung Cancer Patients. Zenodo (CERN European Organization for Nuclear Research). 10. 1–8. 2 indexed citations
6.
Soriano, Javier, et al.. (2019). A COLLABORATIVE LEARNING PLATFORM TO ASSESS THE USE OF AGILE METHODOLOGIES IN ENGINEERING STUDIES. UPM Digital Archive (Technical University of Madrid). 2. 346–350. 1 indexed citations
7.
Vigueras, Guillermo, et al.. (2017). Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code. SHILAP Revista de lepidopterología. 237. 52–67. 1 indexed citations
8.
Lee, Jack, Andrew Cookson, Eric Kerfoot, et al.. (2016). Multiphysics Computational Modeling in $\boldsymbol{\mathcal{C}}\mathbf{Heart}$. SIAM Journal on Scientific Computing. 38(3). C150–C178. 44 indexed citations
9.
Vigueras, Guillermo, Federico Sket, Cristóbal Samaniego, et al.. (2015). An XFEM/CZM implementation for massively parallel simulations of composites fracture. Composite Structures. 125. 542–557. 38 indexed citations
10.
Vigueras, Guillermo & Juan M. Orduña. (2015). On the Use of GPU for Accelerating Communication-Aware Mapping Techniques. The Computer Journal. 59(6). 836–847. 4 indexed citations
11.
Vigueras, Guillermo, Ishani Roy, Andrew Cookson, et al.. (2013). Toward GPGPU accelerated human electromechanical cardiac simulations. International Journal for Numerical Methods in Biomedical Engineering. 30(1). 117–134. 16 indexed citations
12.
Vigueras, Guillermo, Juan M. Orduña, Miguel Lozano, José M. Cecilia, & José M. Garcı́a. (2013). Accelerating collision detection for large-scale crowd simulation on multi-core and many-core architectures. The International Journal of High Performance Computing Applications. 28(1). 33–49. 8 indexed citations
13.
Vigueras, Guillermo, Juan M. Orduña, & Miguel Lozano. (2012). A Read-Copy Update based parallel server for distributed crowd simulations. The Journal of Supercomputing. 64(1). 156–166. 1 indexed citations
14.
Vigueras, Guillermo, Juan M. Orduña, Miguel Lozano, & Yvon Jégou. (2011). A scalable multiagent system architecture for interactive applications. Science of Computer Programming. 78(6). 715–724. 5 indexed citations
15.
Vigueras, Guillermo, Miguel Lozano, Juan M. Orduña, & Francisco Grimaldo. (2009). A comparative study of partitioning methods for crowd simulations. Applied Soft Computing. 10(1). 225–235. 24 indexed citations
16.
Vigueras, Guillermo, Miguel Lozano, & Juan M. Orduña. (2009). Workload balancing in distributed crowd simulations: the partitioning method. The Journal of Supercomputing. 58(2). 261–269. 8 indexed citations
17.
Lozano, Miguel, et al.. (2008). A new system architecture for crowd simulation. Journal of Network and Computer Applications. 32(2). 474–482. 10 indexed citations
18.
Grimaldo, Francisco, et al.. (2008). Simulating socially intelligent agents in semantic virtual environments. The Knowledge Engineering Review. 23(4). 369–388. 14 indexed citations
19.
Vigueras, Guillermo, et al.. (2008). A Scalable Architecture for Crowd Simulation: Implementing a Parallel Action Server. 430–437. 15 indexed citations
20.
Grimaldo, Francisco, et al.. (2007). Animating groups of Socially Intelligent Agents. 24. 136–143. 4 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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