José F. Vicent

804 total citations
48 papers, 534 citations indexed

About

José F. Vicent is a scholar working on Building and Construction, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, José F. Vicent has authored 48 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Building and Construction, 16 papers in Statistical and Nonlinear Physics and 12 papers in Artificial Intelligence. Recurrent topics in José F. Vicent's work include Complex Network Analysis Techniques (16 papers), Urban Design and Spatial Analysis (12 papers) and Opinion Dynamics and Social Influence (10 papers). José F. Vicent is often cited by papers focused on Complex Network Analysis Techniques (16 papers), Urban Design and Spatial Analysis (12 papers) and Opinion Dynamics and Social Influence (10 papers). José F. Vicent collaborates with scholars based in Spain, Italy and United Kingdom. José F. Vicent's co-authors include Leandro Tortosa, Rafael Álvarez, Richard C. Wilson, Pablo Martí Ciriquián, Rocío Rodríguez, Francisco Pedroche, Leticia Serrano-Estrada, Faraón Llorens Largo, Fernando Terroso-Sáenz and Almudena Nolasco‐Cirugeda and has published in prestigious journals such as PLoS ONE, Journal of Environmental Management and Information Sciences.

In The Last Decade

José F. Vicent

45 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José F. Vicent Spain 15 191 178 123 110 53 48 534
Leandro Tortosa Spain 15 196 1.0× 178 1.0× 123 1.0× 122 1.1× 54 1.0× 59 579
Shenggong Ji China 14 85 0.4× 128 0.7× 112 0.9× 148 1.3× 15 0.3× 21 520
Qiaomu Shen China 9 60 0.3× 124 0.7× 77 0.6× 82 0.7× 123 2.3× 25 455
Harald Bosch Germany 8 183 1.0× 201 1.1× 31 0.3× 158 1.4× 27 0.5× 17 640
Onur Küçüktunç United States 11 46 0.2× 121 0.7× 35 0.3× 172 1.6× 46 0.9× 18 520
Dennis Thom Germany 15 260 1.4× 291 1.6× 42 0.3× 229 2.1× 48 0.9× 30 991
Hiroyuki Toda Japan 10 40 0.2× 104 0.6× 61 0.5× 133 1.2× 9 0.2× 43 351
Xovee Xu China 12 244 1.3× 41 0.2× 34 0.3× 263 2.4× 11 0.2× 42 488
Víctor Soto United States 10 35 0.2× 266 1.5× 29 0.2× 147 1.3× 91 1.7× 23 474

Countries citing papers authored by José F. Vicent

Since Specialization
Citations

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

Fields of papers citing papers by José F. Vicent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José F. Vicent. 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 José F. Vicent. The network helps show where José F. Vicent may publish in the future.

Co-authorship network of co-authors of José F. Vicent

This figure shows the co-authorship network connecting the top 25 collaborators of José F. Vicent. A scholar is included among the top collaborators of José F. Vicent 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 José F. Vicent. José F. Vicent 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.
Largo, Faraón Llorens, et al.. (2025). Self explainable graph convolutional recurrent network for spatio-temporal forecasting. Machine Learning. 114(1). 1 indexed citations
2.
Vicent, José F., et al.. (2025). Evaluating Super-Resolution Models in Biomedical Imaging: Applications and Performance in Segmentation and Classification. Journal of Imaging. 11(4). 104–104. 1 indexed citations
3.
Vicent, José F., et al.. (2024). Feature fusion for a robust traffic accident assistance forecasting model with deep learning. Applied Soft Computing. 167. 112326–112326.
4.
Vicent, José F., et al.. (2024). Global forecasting of carbon concentration through a deep learning spatiotemporal modeling. Journal of Environmental Management. 371. 122922–122922.
5.
Tortosa, Leandro, et al.. (2023). A novel measure to identify influential nodes: Return Random Walk Gravity Centrality. Information Sciences. 628. 177–195. 52 indexed citations
6.
Rodríguez, Rocío, et al.. (2021). A New Methodology to Study Street Accessibility: A Case Study of Avila (Spain). ISPRS International Journal of Geo-Information. 10(7). 491–491. 2 indexed citations
7.
Nanni, Mirco, et al.. (2020). Ranking places in attributed temporal urban mobility networks. PLoS ONE. 15(10). e0239319–e0239319. 9 indexed citations
8.
Tortosa, Leandro, et al.. (2020). Analysis and comparison of centrality measures applied to urban networks with data. Journal of Computational Science. 43. 101127–101127. 17 indexed citations
9.
Pedroche, Francisco, et al.. (2019). Extending the Adapted PageRank Algorithm Centrality to Multiplex Networks with Data Using the PageRank Two-Layer Approach. Symmetry. 11(2). 284–284. 15 indexed citations
10.
Tortosa, Leandro, et al.. (2017). Analysis of the Patrimonial Conservation of a Quito Suburb without Altering Its Commercial Structure by Means of a Centrality Measure for Urban Networks. ISPRS International Journal of Geo-Information. 6(7). 215–215. 3 indexed citations
11.
Tortosa, Leandro, et al.. (2016). New highlights and a new centrality measure based on the Adapted PageRank Algorithm for urban networks. Applied Mathematics and Computation. 291. 14–29. 30 indexed citations
12.
Serrano-Estrada, Leticia, et al.. (2015). Different Models to Visualise Geolocated City Data from Social Networks. 687–692. 5 indexed citations
13.
Tortosa, Leandro, et al.. (2011). A neural network model to develop actions in urban complex systems represented by 2D meshes. International Journal of Computer Mathematics. 88(16). 3361–3379. 3 indexed citations
14.
Tortosa, Leandro, et al.. (2011). An application of a self-organizing model to the design of urban transport networks. Journal of Intelligent & Fuzzy Systems. 22(2-3). 141–154. 4 indexed citations
15.
Álvarez, Rafael, et al.. (2009). Analysis and design of a secure key exchange scheme. Information Sciences. 179(12). 2014–2021. 15 indexed citations
16.
Álvarez, Rafael, et al.. (2008). Error measurements and parameters choice in the GNG3D model for mesh simplification. WSEAS Transactions on Information Science and Applications archive. 5(5). 579–588. 1 indexed citations
17.
Álvarez, Rafael, et al.. (2008). A matricial public key cryptosystem with digital signature. WSEAS Transactions on Mathematics archive. 7(4). 195–204. 4 indexed citations
18.
Tortosa, Leandro, et al.. (2008). Evaluating approximations generated by the GNG3D method for mesh simplification. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 25–30. 1 indexed citations
19.
Álvarez, Rafael, et al.. (2007). A new public key cryptosystem based on matrices. 36–39. 6 indexed citations
20.
Álvarez, Rafael, et al.. (2005). Secure Communication System over a GSM Network. 2 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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