Laura Daza
- Computer Vision and Pattern Recognition
- Neurology
- Computational Theory and Mathematics
- Molecular Biology
- Materials Chemistry
- Co-authors
- Pablo ArbeláezJuan C. CruzPaola Ruiz PuentesCristina GonzálezCarolina Muñoz-CamargoCatalina GómezMaría EscobarFelipe Torres Figueroa
- Topics
- Computational Drug Discovery Methods (2 papers)Advanced Neural Network Applications (2 papers)Brain Tumor Detection and Classification (2 papers)
- Journals
- PLoS ONEScientific ReportsUniversity of Minnesota Digital Conservancy (University of Minnesota)
In The Last Decade
Laura Daza
5 papers receiving 45 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 19
- Neurology 17
- Computational Theory and Mathematics 14
- Molecular Biology 11
- Materials Chemistry 7
Countries citing papers authored by Laura Daza
This map shows the geographic impact of Laura Daza'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 Laura Daza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Daza more than expected).
Fields of papers citing papers by Laura Daza
This network shows the impact of papers produced by Laura Daza. 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 Laura Daza. The network helps show where Laura Daza may publish in the future.
Co-authorship network of co-authors of Laura Daza
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Daza. A scholar is included among the top collaborators of Laura Daza 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 Laura Daza. Laura Daza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 16 |
About Laura Daza
Laura Daza is a scholar working on Health Informatics, Neurology and Computational Theory and Mathematics, having authored 5 papers that have together received 45 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Advanced Neural Network Applications (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Neurology (17 citations), Health Informatics (2 citations) and Computer Vision and Pattern Recognition (19 citations). Laura Daza has collaborated with scholars based in Colombia and Australia. Frequent co-authors include Pablo Arbeláez, Juan C. Cruz, Paola Ruiz Puentes, Cristina González, Carolina Muñoz-Camargo, Catalina Gómez, María Escobar and Felipe Torres Figueroa. Their work appears in journals such as PLoS ONE, Scientific Reports and University of Minnesota Digital Conservancy (University of Minnesota).
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.