Jorge I. Galván-Tejada
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Plant Science
- Electrical and Electronic Engineering
- Co-authors
- Carlos E. Galván-TejadaHamurabi Gamboa-RosalesJosé M. Celaya-PadillaHuizilopoztli Luna-GarcíaLaura A. Zanella-CalzadaRafael Magallanes‐QuintanarCarlos Guerrero-MéndezCarlos Alberto Olvera-Olvera
- Topics
- Artificial Intelligence in Healthcare (9 papers)Speech and Audio Processing (6 papers)Mental Health Research Topics (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsInternational Journal of Environmental Research and Public Health
In The Last Decade
Jorge I. Galván-Tejada
74 papers receiving 900 citations
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 170
- Computer Vision and Pattern Recognition 158
- Experimental and Cognitive Psychology 121
- Plant Science 109
- Electrical and Electronic Engineering 90
Countries citing papers authored by Jorge I. Galván-Tejada
This map shows the geographic impact of Jorge I. Galván-Tejada'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 Jorge I. Galván-Tejada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge I. Galván-Tejada more than expected).
Fields of papers citing papers by Jorge I. Galván-Tejada
This network shows the impact of papers produced by Jorge I. Galván-Tejada. 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 Jorge I. Galván-Tejada. The network helps show where Jorge I. Galván-Tejada may publish in the future.
Co-authorship network of co-authors of Jorge I. Galván-Tejada
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge I. Galván-Tejada. A scholar is included among the top collaborators of Jorge I. Galván-Tejada 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 Jorge I. Galván-Tejada. Jorge I. Galván-Tejada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 51 | |
| 15 | 18 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | 2 |
About Jorge I. Galván-Tejada
Jorge I. Galván-Tejada is a scholar working on Health Information Management, Applied Psychology and Signal Processing, having authored 78 papers that have together received 937 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Speech and Audio Processing (6 papers) and Mental Health Research Topics (6 papers). The work is most often cited by research in Applied Psychology (72 citations), Experimental and Cognitive Psychology (121 citations) and Health Information Management (40 citations). Jorge I. Galván-Tejada has collaborated with scholars based in Mexico, France and Peru. Frequent co-authors include Carlos E. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Huizilopoztli Luna-García, Laura A. Zanella-Calzada, Rafael Magallanes‐Quintanar, Carlos Guerrero-Méndez, Carlos Alberto Olvera-Olvera, Antonio Martínez‐Torteya and Ramón Brena. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.
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.