Josefa Díaz‐Álvarez

490 total citations
23 papers, 242 citations indexed

About

Josefa Díaz‐Álvarez is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Hardware and Architecture. According to data from OpenAlex, Josefa Díaz‐Álvarez has authored 23 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 6 papers in Hardware and Architecture. Recurrent topics in Josefa Díaz‐Álvarez's work include Evolutionary Algorithms and Applications (7 papers), Parallel Computing and Optimization Techniques (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Josefa Díaz‐Álvarez is often cited by papers focused on Evolutionary Algorithms and Applications (7 papers), Parallel Computing and Optimization Techniques (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Josefa Díaz‐Álvarez collaborates with scholars based in Spain, Mexico and Portugal. Josefa Díaz‐Álvarez's co-authors include Jordi A. Matías‐Guiu, José L. Ayala, Jorge Matías‐Guiu, José L. Risco‐Martín, María Nieves Cabrera‐Martín, Vanesa Pytel, J. Manuel Colmenar, José Luis Carreras, Teresa Moreno‐Ramos and J. Ignacio Hidalgo and has published in prestigious journals such as BMC Bioinformatics, Applied Soft Computing and Cortex.

In The Last Decade

Josefa Díaz‐Álvarez

22 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josefa Díaz‐Álvarez Spain 10 69 65 63 32 31 23 242
Dong Ping Zhang China 6 42 0.6× 123 1.9× 57 0.9× 83 2.6× 84 2.7× 20 335
Manish Bhattarai United States 7 101 1.5× 64 1.0× 69 1.1× 58 1.8× 11 0.4× 31 260
Bharti Rana India 11 27 0.4× 20 0.3× 80 1.3× 38 1.2× 37 1.2× 27 320
Juan E. Arco Spain 12 72 1.0× 19 0.3× 103 1.6× 34 1.1× 15 0.5× 23 346
Dimitris Liparas Greece 7 51 0.7× 54 0.8× 78 1.2× 46 1.4× 19 0.6× 12 246
Minh Nguyen United States 5 105 1.5× 62 1.0× 41 0.7× 39 1.2× 10 0.3× 18 211
Veeky Baths India 8 83 1.2× 26 0.4× 89 1.4× 15 0.5× 9 0.3× 27 267
İrem Taşçı Türkiye 9 61 0.9× 43 0.7× 111 1.8× 51 1.6× 14 0.5× 37 305

Countries citing papers authored by Josefa Díaz‐Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Josefa Díaz‐Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josefa Díaz‐Álvarez. 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 Josefa Díaz‐Álvarez. The network helps show where Josefa Díaz‐Álvarez may publish in the future.

Co-authorship network of co-authors of Josefa Díaz‐Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of Josefa Díaz‐Álvarez. A scholar is included among the top collaborators of Josefa Díaz‐Álvarez 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 Josefa Díaz‐Álvarez. Josefa Díaz‐Álvarez 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.
Díaz‐Álvarez, Josefa, et al.. (2024). Detection of Aspergillus flavus in Figs by Means of Hyperspectral Images and Deep Learning Algorithms. AgriEngineering. 6(4). 3969–3988. 5 indexed citations
2.
Díaz‐Álvarez, Josefa, María Nieves Cabrera‐Martín, Cristina Delgado‐Alonso, et al.. (2024). Data-driven prediction of regional brain metabolism using neuropsychological assessment in Alzheimer's disease and behavioral variant Frontotemporal dementia. Cortex. 183. 309–325.
3.
Díaz‐Álvarez, Josefa, Jordi A. Matías‐Guiu, Jordi A. Matías‐Guiu, et al.. (2022). Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging. Frontiers in Aging Neuroscience. 13. 708932–708932. 10 indexed citations
4.
Díaz‐Álvarez, Josefa, Jordi A. Matías‐Guiu, Vanesa Pytel, et al.. (2022). GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms. Medical & Biological Engineering & Computing. 60(9). 2737–2756. 25 indexed citations
5.
Rawat, Romil, Vinod Mahor, Josefa Díaz‐Álvarez, & Francisco Chávez. (2022). Rooted Learning Model at Fog Computing Analysis for Crime Incident Surveillance. 1–9. 1 indexed citations
6.
Chávez, Francisco, et al.. (2021). Plum Ripeness Analysis in Real Environments Using Deep Learning with Convolutional Neural Networks. Agronomy. 11(11). 2353–2353. 13 indexed citations
7.
Delgado‐Álvarez, Alfonso, Cristina Delgado‐Alonso, Josefa Díaz‐Álvarez, et al.. (2021). Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning‐aided neuropsychological assessment using feature engineering and genetic algorithms. International Journal of Geriatric Psychiatry. 37(2). 35 indexed citations
8.
Pytel, Vanesa, Josefa Díaz‐Álvarez, María Nieves Cabrera‐Martín, et al.. (2021). Diagnosis of Alzheimer’s disease and frontotemporal dementia using FDG‐PET: Application of genetic algorithms. Alzheimer s & Dementia. 17(S4). 2 indexed citations
9.
Díaz‐Álvarez, Josefa, Jordi A. Matías‐Guiu, María Nieves Cabrera‐Martín, José L. Risco‐Martín, & José L. Ayala. (2019). An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders. BMC Bioinformatics. 20(1). 491–491. 43 indexed citations
10.
Matías‐Guiu, Jordi A., Jordi A. Matías‐Guiu, Josefa Díaz‐Álvarez, et al.. (2019). Machine learning in the clinical and language characterisation of primary progressive aphasia variants. Cortex. 119. 312–323. 36 indexed citations
11.
Matías‐Guiu, Jordi A., Jordi A. Matías‐Guiu, Josefa Díaz‐Álvarez, et al.. (2018). Clustering Analysis of FDG-PET Imaging in Primary Progressive Aphasia. Frontiers in Aging Neuroscience. 10. 230–230. 25 indexed citations
12.
Díaz‐Álvarez, Josefa, et al.. (2018). A fuzzy rule-based system to predict energy consumption of genetic programming algorithms. Computer Science and Information Systems. 15(3). 635–654. 2 indexed citations
13.
Díaz‐Álvarez, Josefa, José L. Risco‐Martín, & J. Manuel Colmenar. (2017). Evolutionary design of the memory subsystem. Applied Soft Computing. 62. 1088–1101. 1 indexed citations
14.
Díaz‐Álvarez, Josefa, J. Manuel Colmenar, José L. Risco‐Martín, Juan Lanchares, & Óscar Garnica. (2015). Optimizing L1 cache for embedded systems through grammatical evolution. Soft Computing. 20(6). 2451–2465. 4 indexed citations
15.
Díaz‐Álvarez, Josefa, José L. Risco‐Martín, & J. Manuel Colmenar. (2015). Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems. Journal of Systems and Software. 111. 200–212. 9 indexed citations
16.
Risco‐Martín, José L., J. Manuel Colmenar, J. Ignacio Hidalgo, Juan Lanchares, & Josefa Díaz‐Álvarez. (2014). A methodology to automatically optimize dynamic memory managers applying grammatical evolution. Journal of Systems and Software. 91. 109–123. 13 indexed citations
17.
Hidalgo, J. Ignacio, J. Manuel Colmenar, José L. Risco‐Martín, et al.. (2014). Solving GA-hard problems with EMMRS and GPGPUs. 3. 1007–1014. 2 indexed citations
18.
Díaz‐Álvarez, Josefa, J. Manuel Colmenar, José L. Risco‐Martín, José L. Ayala, & Óscar Garnica. (2011). Quantifying the impact of dynamic memory managers into memory-intensive applications. Summer Computer Simulation Conference. 160–167. 1 indexed citations
19.
Hidalgo, J. Ignacio, et al.. (2010). COMPARISON OF METAHEURISTICS FOR WORKFORCE DISTRIBUTION IN MULTI-SKILL CALL CENTRES. 352–357. 1 indexed citations
20.
Díaz‐Álvarez, Josefa, et al.. (2009). Improving SMT performance. 2029–2034. 11 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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