Juana Canul-Reich
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Co-authors
- Pilar Pozos-ParraMarco Antonio Cruz‐ChávezEfrén Mezura‐MontesLawrence HallSteven A. EschrichDmitry B. GoldgofJuan Frausto–SolísCarlos A. Ortega
- Topics
- Evolutionary Algorithms and Applications (7 papers)Peripheral Neuropathies and Disorders (6 papers)Metaheuristic Optimization Algorithms Research (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPattern Recognition Letters
- Partner nations
- MexicoUnited StatesFrance
In The Last Decade
Juana Canul-Reich
27 papers receiving 321 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 142
- Information Systems 49
- Computer Vision and Pattern Recognition 38
- Computational Theory and Mathematics 37
- Molecular Biology 36
Countries citing papers authored by Juana Canul-Reich
This map shows the geographic impact of Juana Canul-Reich'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 Juana Canul-Reich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juana Canul-Reich more than expected).
Fields of papers citing papers by Juana Canul-Reich
This network shows the impact of papers produced by Juana Canul-Reich. 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 Juana Canul-Reich. The network helps show where Juana Canul-Reich may publish in the future.
Co-authorship network of co-authors of Juana Canul-Reich
This figure shows the co-authorship network connecting the top 25 collaborators of Juana Canul-Reich. A scholar is included among the top collaborators of Juana Canul-Reich 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 Juana Canul-Reich. Juana Canul-Reich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 43 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | Augmented Reality Labels for Security Signs based on Color Segmentation with PSO for Assisting Colorblind People | 1 |
| 8 | 2 | |
| 9 | Mining: Students Comments about Teacher Performance Assessment using Machine Learning Algorithms | 17 |
| 10 | 96 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching -Learning Process in the Classroom Using a Corpus of Subjectivity | 15 |
| 14 | Finding relevant features for identifying subtypes of Guillain-Barré Syndrome using Quenching Simulated Annealing and Partitions Around Medoids | 2 |
| 15 | 5 | |
| 16 | Predictores de falla respiratoria y de la necesidad de ventilación mecánica en el síndrome de Guillain-Barré: una revisión de la literatura | 2 |
| 17 | 22 | |
| 18 | An iterative feature perturbation method for gene selection from microarray data | 1 |
| 19 | 10 | |
| 20 | 19 |
About Juana Canul-Reich
Juana Canul-Reich is a scholar working on Microbiology, Neurology and Computer Science Applications, having authored 29 papers that have together received 336 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (7 papers), Peripheral Neuropathies and Disorders (6 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Artificial Intelligence (142 citations), Computer Science Applications (15 citations) and Computational Theory and Mathematics (37 citations). Juana Canul-Reich has collaborated with scholars based in Mexico, United States and France. Frequent co-authors include Pilar Pozos-Parra, Marco Antonio Cruz‐Chávez, Efrén Mezura‐Montes, Lawrence Hall, Steven A. Eschrich, Dmitry B. Goldgof, Juan Frausto–Solís, Carlos A. Ortega, Julio Ponce and Erick de la Cruz‐Hernandez. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition Letters.
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.