Daniela Sánchez

1.6k total citations
38 papers, 872 citations indexed

About

Daniela Sánchez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Daniela Sánchez has authored 38 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Surgery. Recurrent topics in Daniela Sánchez's work include Neural Networks and Applications (14 papers), Fuzzy Logic and Control Systems (12 papers) and Face and Expression Recognition (9 papers). Daniela Sánchez is often cited by papers focused on Neural Networks and Applications (14 papers), Fuzzy Logic and Control Systems (12 papers) and Face and Expression Recognition (9 papers). Daniela Sánchez collaborates with scholars based in Mexico, United States and Colombia. Daniela Sánchez's co-authors include Patricia Melín, Oscar Castillo, Julio Cesar Monica, Daniel S. Horwitz, Juan R. Castro, Leticia Cervantes, Fevrier Valdez, Rodrigo Pesántez, Juan Manuel Sánchez and Sebastián Suárez and has published in prestigious journals such as Sensors, Information Sciences and Chaos Solitons & Fractals.

In The Last Decade

Daniela Sánchez

36 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Sánchez Mexico 14 433 155 106 89 87 38 872
Nick J. Pizzi Canada 18 273 0.6× 135 0.9× 35 0.3× 55 0.6× 31 0.4× 72 822
Hanen Karamti Saudi Arabia 18 183 0.4× 94 0.6× 36 0.3× 89 1.0× 68 0.8× 93 916
Choujun Zhan China 17 236 0.5× 135 0.9× 154 1.5× 143 1.6× 61 0.7× 86 1.2k
Changfei Tong China 9 635 1.5× 126 0.8× 19 0.2× 108 1.2× 68 0.8× 16 1.1k
Sharaf J. Malebary Saudi Arabia 18 413 1.0× 99 0.6× 76 0.7× 24 0.3× 116 1.3× 53 1.2k
Ivan Lorencin Croatia 16 197 0.5× 89 0.6× 86 0.8× 146 1.6× 176 2.0× 73 878
Sandi Baressi Šegota Croatia 13 127 0.3× 69 0.4× 91 0.9× 118 1.3× 141 1.6× 64 636
Hongping Hu China 18 278 0.6× 126 0.8× 97 0.9× 162 1.8× 96 1.1× 56 934
Derya Avcı Türkiye 19 500 1.2× 305 2.0× 14 0.1× 49 0.6× 97 1.1× 47 1.3k
Gianni D’Angelo Italy 22 529 1.2× 109 0.7× 9 0.1× 112 1.3× 43 0.5× 48 1.2k

Countries citing papers authored by Daniela Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Sánchez. A scholar is included among the top collaborators of Daniela Sánchez 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 Daniela Sánchez. Daniela Sánchez 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.
Sánchez, Daniela, Patricia Melín, Oscar Castillo, & Juan R. Castro. (2025). Optimal Genetic Design of Interval Type-3 Fuzzy Aggregators for Modular Neural Networks Applied to Human Recognition. International Journal of Fuzzy Systems. 28(1). 85–104. 4 indexed citations
2.
Sánchez, Daniela, et al.. (2025). Design and Development of a Lean Robotic Cell for Concrete 3D Printing. Procedia Computer Science. 253. 475–484. 1 indexed citations
3.
Sánchez, Daniela, et al.. (2024). Adjustment of Convolutional and Hidden Layers Using Type-1 Fuzzy Logic Applied to Diabetic Retinopathy Classification. Computación y Sistemas. 28(2). 1 indexed citations
4.
5.
Melín, Patricia, Daniela Sánchez, & Oscar Castillo. (2023). Interval Type-3 Fuzzy Inference System Design for Medical Classification Using Genetic Algorithms. Axioms. 13(1). 5–5. 6 indexed citations
6.
Melín, Patricia, Daniela Sánchez, Martha Pulido, & Oscar Castillo. (2023). Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification. Mathematical and Computational Applications. 28(6). 107–107. 3 indexed citations
7.
Melín, Patricia, et al.. (2023). Multiclass Mask Classification with a New Convolutional Neural Model and Its Real-Time Implementation. Life. 13(2). 368–368. 1 indexed citations
8.
Friedman, Lisa G. M., et al.. (2022). Open lower extremity fractures in the geriatric population. European Journal of Orthopaedic Surgery & Traumatology. 33(2). 401–408. 2 indexed citations
9.
Friedman, Lisa G. M., Daniela Sánchez, Terri A. Zachos, et al.. (2021). Potential Benefits of Limited Clinical and Radiographic Follow-up After Surgical Treatment of Ankle Fractures. JAAOS Global Research and Reviews. 5(5). 2 indexed citations
10.
Sánchez, Daniela, et al.. (2020). Traumatic Orthopaedic Injuries in the Prison Population. JAAOS Global Research and Reviews. 4(4). e20.00031–e20.00031. 3 indexed citations
11.
Melín, Patricia, Julio Cesar Monica, Daniela Sánchez, & Oscar Castillo. (2020). Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps. Chaos Solitons & Fractals. 138. 109917–109917. 93 indexed citations
12.
Melín, Patricia, Julio Cesar Monica, Daniela Sánchez, & Oscar Castillo. (2020). Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico. Healthcare. 8(2). 181–181. 116 indexed citations
13.
14.
Sánchez, Daniela, et al.. (2017). Surgical treatment of osteoporotic fractures: An update on the principles of management. Injury. 48. S34–S40. 41 indexed citations
15.
Sánchez, Daniela, Patricia Melín, & Oscar Castillo. (2017). A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition. Computational Intelligence and Neuroscience. 2017. 1–26. 72 indexed citations
16.
Suárez, Sebastián, et al.. (2016). Impact on Hip Fracture Mortality After the Establishment of an Orthogeriatric Care Program in a Colombian Hospital. Journal of Aging and Health. 29(3). 474–488. 15 indexed citations
17.
Wohlschlögel, M., Daniela Sánchez, Andreas Schüßler, et al.. (2015). Characterization of Nitinol Laser-Weld Joints by Nondestructive Testing. Journal of Materials Engineering and Performance. 24(12). 4991–4996. 2 indexed citations
18.
Sánchez, Daniela, et al.. (2014). QL-16 * COST EFFECTIVENESS ANALYSIS OF GLIOBLASTOMA MULTIFORME THERAPIES. Neuro-Oncology. 16(suppl 5). v181–v181. 3 indexed citations
19.
Sánchez, Daniela & Patricia Melín. (2012). Hierarchical genetic optimization of modular granular neural networks for ear recognition. 1–6. 2 indexed citations
20.
Melín, Patricia, Daniela Sánchez, & Oscar Castillo. (2012). Genetic optimization of modular neural networks with fuzzy response integration for human recognition. Information Sciences. 197. 1–19. 63 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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