R. Díaz Hernández

2.1k total citations
20 papers, 181 citations indexed

About

R. Díaz Hernández is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, R. Díaz Hernández has authored 20 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R. Díaz Hernández's work include Digital Imaging for Blood Diseases (5 papers), AI in cancer detection (3 papers) and Medical Image Segmentation Techniques (2 papers). R. Díaz Hernández is often cited by papers focused on Digital Imaging for Blood Diseases (5 papers), AI in cancer detection (3 papers) and Medical Image Segmentation Techniques (2 papers). R. Díaz Hernández collaborates with scholars based in Mexico, United States and South Korea. R. Díaz Hernández's co-authors include Jesús A. González, Leopoldo Altamirano-Robles, Carolina Reta, Hayde Peregrina‐Barreto, Gustavo Rodríguez‐Gómez, Luis Enrique Sucar, Màrius Ramírez-Cardona, J. Urrutia‐Fucugauchi, Artyom M. Grigoryan and Adol Esquivel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

R. Díaz Hernández

19 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Díaz Hernández Mexico 6 122 69 43 26 24 20 181
Romulus Terebeş Romania 9 89 0.7× 31 0.4× 15 0.3× 91 3.5× 15 0.6× 44 284
Reza Moradi Rad Canada 12 228 1.9× 109 1.6× 27 0.6× 15 0.6× 21 0.9× 23 388
Réka Hollandi Hungary 6 82 0.7× 77 1.1× 83 1.9× 8 0.3× 43 1.8× 10 248
Gabriel Efrain Humpire Mamani Netherlands 5 141 1.2× 78 1.1× 10 0.2× 16 0.6× 86 3.6× 6 282
Aimon Rahman Bangladesh 7 118 1.0× 97 1.4× 19 0.4× 16 0.6× 93 3.9× 8 225
Miguel Hernández-Cabronero Spain 10 249 2.0× 65 0.9× 11 0.3× 4 0.2× 13 0.5× 43 318
Qiwei Feng Canada 3 88 0.7× 119 1.7× 24 0.6× 3 0.1× 87 3.6× 8 258
G. van de Wouwer Belgium 7 177 1.5× 109 1.6× 38 0.9× 2 0.1× 45 1.9× 15 302
James R. Clough United Kingdom 7 91 0.7× 56 0.8× 23 0.5× 2 0.1× 100 4.2× 15 268
Noel E. O’Connor Ireland 5 207 1.7× 37 0.5× 5 0.1× 9 0.3× 28 1.2× 11 263

Countries citing papers authored by R. Díaz Hernández

Since Specialization
Citations

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

Fields of papers citing papers by R. Díaz Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Díaz Hernández. 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 R. Díaz Hernández. The network helps show where R. Díaz Hernández may publish in the future.

Co-authorship network of co-authors of R. Díaz Hernández

This figure shows the co-authorship network connecting the top 25 collaborators of R. Díaz Hernández. A scholar is included among the top collaborators of R. Díaz Hernández 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 R. Díaz Hernández. R. Díaz Hernández 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.
Hernández, R. Díaz, et al.. (2024). Evaluation of Heat Map Methods Using Cell Morphology for Classifying Acute Lymphoblastic Leukemia Cells. Computación y Sistemas. 28(1). 1 indexed citations
2.
Hernández, R. Díaz, et al.. (2024). Bayesian and convolutional networks for hierarchical morphological classification of galaxies. Experimental Astronomy. 58(2). 1 indexed citations
3.
4.
Altamirano-Robles, Leopoldo, et al.. (2024). WGAN-GP for Synthetic Retinal Image Generation: Enhancing Sensor-Based Medical Imaging for Classification Models. Sensors. 25(1). 167–167. 2 indexed citations
5.
Hernández, R. Díaz, et al.. (2024). Evaluation of Deformable Convolution: An Investigation in Image and Video Classification. Mathematics. 12(16). 2448–2448.
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Hernández, R. Díaz, et al.. (2018). A method for lane recognition using active contours model in vehicular roads. 37–43. 3 indexed citations
9.
Hernández, R. Díaz, et al.. (2016). Automatic approach to solve the morphological galaxy classification problem using the sparse representation technique and dictionary learning. Experimental Astronomy. 41(3). 409–426. 4 indexed citations
10.
Reta, Carolina, et al.. (2015). Segmentation and Classification of Bone Marrow Cells Images Using Contextual Information for Medical Diagnosis of Acute Leukemias. PLoS ONE. 10(6). e0130805–e0130805. 63 indexed citations
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12.
Hernández, R. Díaz, et al.. (2014). Automatic stellar spectral classification via sparse representations and dictionary learning. Experimental Astronomy. 38(1-2). 193–211. 17 indexed citations
13.
Grigoryan, Artyom M., et al.. (2014). Machine learning and image processing in astronomy with sparse data sets. 200–203. 5 indexed citations
14.
Sucar, Luis Enrique, et al.. (2013). A Hierarchical Model for Morphological Galaxy Classification.. The Florida AI Research Society. 10 indexed citations
15.
González, Jesús A., et al.. (2011). Microcalcifications Detection Using Fisher’s Linear Discriminant and Breast Density. Advances in experimental medicine and biology. 696. 451–459. 3 indexed citations
16.
Reta, Carolina, et al.. (2011). Leukocytes Segmentation Using Markov Random Fields. Advances in experimental medicine and biology. 696. 345–353. 11 indexed citations
17.
Hernández, R. Díaz, et al.. (2011). Retrieval of spectroscopic information from the Tonantzintla Schmidt camera archival plates. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8011. 80117Z–80117Z. 1 indexed citations
18.
Urrutia‐Fucugauchi, J., et al.. (2010). Scanning electron microscopy characterization of iron, nickel and sulfur in chondrules from the Allende meteorite - further evidence for between-chondrules major compositional differences. SHILAP Revista de lepidopterología. 3 indexed citations
19.
González, Jesús A., et al.. (2010). A Supervised Method for Microcalcifications Detection using Breast Density. The Florida AI Research Society. 1 indexed citations
20.
Reta, Carolina, et al.. (2010). Segmentation of Bone Marrow Cell Images for Morphological Classification of Acute Leukemia. The Florida AI Research Society. 38 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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