Sergio Ledesma
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- J.M. Belman-FloresDora-Luz Almanza-OjedaMario-Alberto Ibarra-ManzanoJuan Gabriel Avina‐CervantesELIAS RIGOBERTO LEDESMA OROZCODerong LiuJosé Ruiz-PinalesSalvador M. Aceves
- Topics
- Refrigeration and Air Conditioning Technologies (14 papers)Heat Transfer and Optimization (8 papers)Neural Networks and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Transactions on Image Processing
- Partner nations
- MexicoSpainUnited States
In The Last Decade
Sergio Ledesma
69 papers receiving 938 citations
Peers
Comparison fields: 5 of 118
- Mechanical Engineering 335
- Computer Vision and Pattern Recognition 245
- Electrical and Electronic Engineering 130
- Biomedical Engineering 116
- Artificial Intelligence 104
Countries citing papers authored by Sergio Ledesma
This map shows the geographic impact of Sergio Ledesma'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 Sergio Ledesma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Ledesma more than expected).
Fields of papers citing papers by Sergio Ledesma
This network shows the impact of papers produced by Sergio Ledesma. 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 Sergio Ledesma. The network helps show where Sergio Ledesma may publish in the future.
Co-authorship network of co-authors of Sergio Ledesma
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Ledesma. A scholar is included among the top collaborators of Sergio Ledesma 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 Sergio Ledesma. Sergio Ledesma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 46 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 45 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 61 | |
| 10 | 17 | |
| 11 | 37 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 2 |
About Sergio Ledesma
Sergio Ledesma is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 72 papers that have together received 972 indexed citations. Recurring topics across this work include Refrigeration and Air Conditioning Technologies (14 papers), Heat Transfer and Optimization (8 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Media Technology (84 citations) and Mechanical Engineering (335 citations). Sergio Ledesma has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include J.M. Belman-Flores, Dora-Luz Almanza-Ojeda, Mario-Alberto Ibarra-Manzano, Juan Gabriel Avina‐Cervantes, ELIAS RIGOBERTO LEDESMA OROZCO, Derong Liu, José Ruiz-Pinales, Salvador M. Aceves, Eduardo Cabal‐Yépez and Ivan Cruz‐Aceves. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.
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.