María Trujillo
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Mechanical Engineering
- Co-authors
- Enrique AlegreClaudia MazoJosé BernalDeisy ChavesJuan BarrazaLaura Fernández-RoblesEdward LesterOrla Williams
- Topics
- Thermochemical Biomass Conversion Processes (5 papers)Mineral Processing and Grinding (5 papers)Spectroscopy and Chemometric Analyses (5 papers)
- Cited by
- Fuel TechnologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFuel
- Partner nations
- ColombiaSpainUnited Kingdom
In The Last Decade
María Trujillo
37 papers receiving 282 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 75
- Artificial Intelligence 62
- Biomedical Engineering 62
- Radiology, Nuclear Medicine and Imaging 47
- Mechanical Engineering 37
Countries citing papers authored by María Trujillo
This map shows the geographic impact of María Trujillo'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 María Trujillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Trujillo more than expected).
Fields of papers citing papers by María Trujillo
This network shows the impact of papers produced by María Trujillo. 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 María Trujillo. The network helps show where María Trujillo may publish in the future.
Co-authorship network of co-authors of María Trujillo
This figure shows the co-authorship network connecting the top 25 collaborators of María Trujillo. A scholar is included among the top collaborators of María Trujillo 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 María Trujillo. María Trujillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 59 | |
| 15 | 9 | |
| 16 | 26 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | On the impact of the error measure selection in evaluating disparity maps | 1 |
| 20 | 0 |
About María Trujillo
María Trujillo is a scholar working on Biophysics, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 286 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (5 papers), Mineral Processing and Grinding (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Fuel Technology (3 citations), Computer Vision and Pattern Recognition (75 citations) and Radiology, Nuclear Medicine and Imaging (47 citations). María Trujillo has collaborated with scholars based in Colombia, Spain and United Kingdom. Frequent co-authors include Enrique Alegre, Claudia Mazo, José Bernal, Deisy Chaves, Juan Barraza, Laura Fernández-Robles, Edward Lester, Orla Williams, Tao Wu and Joseph Perkins. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Fuel.
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.