Lídia Sánchez-González
- Electrical and Electronic Engineering
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Hilde PérezManuel Castejón‐LimasJavier Díez-GonzálezLaura Fernández-RoblesEnrique AlegreNicolai PetkovRubén ÁlvarezMichael Biehl
- Topics
- E-Learning and Knowledge Management (6 papers)Industrial Vision Systems and Defect Detection (6 papers)Sperm and Testicular Function (4 papers)
- Journals
- IEEE AccessRenewable EnergySensors
- Partner nations
- SpainNetherlandsMexico
In The Last Decade
Lídia Sánchez-González
38 papers receiving 335 citations
Peers
Comparison fields: 5 of 93
- Electrical and Electronic Engineering 113
- Mechanical Engineering 73
- Industrial and Manufacturing Engineering 57
- Artificial Intelligence 49
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Lídia Sánchez-González
This map shows the geographic impact of Lídia Sánchez-González'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 Lídia Sánchez-González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lídia Sánchez-González more than expected).
Fields of papers citing papers by Lídia Sánchez-González
This network shows the impact of papers produced by Lídia Sánchez-González. 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 Lídia Sánchez-González. The network helps show where Lídia Sánchez-González may publish in the future.
Co-authorship network of co-authors of Lídia Sánchez-González
This figure shows the co-authorship network connecting the top 25 collaborators of Lídia Sánchez-González. A scholar is included among the top collaborators of Lídia Sánchez-González 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 Lídia Sánchez-González. Lídia Sánchez-González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 33 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | Application of peer review techniques in engineering education | 10 |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | Angular frequency analysis of wind turbines by means of digital image processing | 2 |
| 17 | 2 | |
| 18 | 17 | |
| 19 | 14 | |
| 20 | LVQ acrosome integrity assessment of boar sperm cells | 7 |
About Lídia Sánchez-González
Lídia Sánchez-González is a scholar working on Computer Science Applications, Architecture and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 347 indexed citations. Recurring topics across this work include E-Learning and Knowledge Management (6 papers), Industrial Vision Systems and Defect Detection (6 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (57 citations), Computer Science Applications (23 citations) and Reproductive Medicine (34 citations). Lídia Sánchez-González has collaborated with scholars based in Spain, Netherlands and Mexico. Frequent co-authors include Hilde Pérez, Manuel Castejón‐Limas, Javier Díez-González, Laura Fernández-Robles, Enrique Alegre, Nicolai Petkov, Rubén Álvarez, Michael Biehl, Miguel Á. Conde and David González-Bárcena. Their work appears in journals such as IEEE Access, Renewable Energy and Sensors.
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.