Daniela Sánchez

1.6k citations
38 papers · 882 · h-index 14

Impact in

    • COVID-19 epidemiological studies
    • Neural Networks and Applications
    • Fuzzy Logic and Control Systems
    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Anomaly Detection Techniques and Applications

Papers in

Daniela Sánchez

38 papers receiving 852 citations

Peers

Daniela Sánchez
Comparison fields: 5 of 111
  • Modeling and Simulation 107
  • Artificial Intelligence 429
  • Computer Vision and Pattern Recognition 155
  • Health Information Management 29
  • Management Science and Operations Research 78
Replace Hongping Hu with:
Hongping Hu China
Ag Asri Ag Ibrahim Malaysia
Hanen Karamti Saudi Arabia
Sharaf J. Malebary Saudi Arabia
Prithwish Chakraborty United States
Wajdi Alhakami Saudi Arabia
Michał Wieczorek Poland
Jakub Siłka Poland
Choujun Zhan China
Ohyun Jo South Korea
Daniela Sánchez relative to Hongping Hu China Hongping Hu's profile →
Citations per field
00.5×1.5×2.3×
Hongping Hu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniela Sánchez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Sánchez Line = papers co-authored together Daniela Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020118
2 201796
3 202094
4 201780
5 201772
6 201263
7 202053
8 201348
9 201546
10 201742
11 202234
12 201820
13 201615
14 201115
15 201310
16 20218
17 20198
18 20218
19 20226
20 20236

About Daniela Sánchez

Daniela Sánchez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Surgery and Health Information Management, having authored 38 papers that have together received 882 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Fuzzy Logic and Control Systems (12 papers), Face and Expression Recognition (9 papers), Artificial Intelligence in Healthcare (4 papers), COVID-19 epidemiological studies (3 papers), Anomaly Detection Techniques and Applications (3 papers), COVID-19 diagnosis using AI (3 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Modeling and Simulation (107 citations), Artificial Intelligence (429 citations), Computer Vision and Pattern Recognition (155 citations), Health Information Management (29 citations) and Management Science and Operations Research (78 citations). Daniela Sánchez has collaborated with scholars based in Mexico, United States and Colombia. Frequent co-authors include Patricia Melín, Oscar Castillo, Julio Cesar Monica, Daniel S. Horwitz, Juan R. Castro, Leticia Cervantes, Rodrigo Pesántez, Fevrier Valdez, Juan Manuel Sánchez and Sebastián Suárez. Their work appears in journals such as Information Sciences, Engineering Applications of Artificial Intelligence, Injury, Life and Neuro-Oncology.

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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