Isis Bonet
- Artificial Intelligence
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Signal Processing
- Experimental and Cognitive Psychology
- Co-authors
- Mario GóngoraAlejandro PeñaFrancisco ChiclanaMaría M. GarcíaAntonio MoránEugenio UriarteAron LarssonRahim Rahmani
- Topics
- Computational Drug Discovery Methods (5 papers)Machine Learning in Bioinformatics (3 papers)Oil Palm Production and Sustainability (3 papers)
- Journals
- Expert Systems with ApplicationsEuropean Journal of Medicinal ChemistryApplied Soft Computing
- Partner nations
- ColombiaUnited KingdomCuba
In The Last Decade
Isis Bonet
27 papers receiving 282 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 76
- Molecular Biology 50
- Computational Theory and Mathematics 47
- Signal Processing 36
- Experimental and Cognitive Psychology 33
Countries citing papers authored by Isis Bonet
This map shows the geographic impact of Isis Bonet'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 Isis Bonet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isis Bonet more than expected).
Fields of papers citing papers by Isis Bonet
This network shows the impact of papers produced by Isis Bonet. 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 Isis Bonet. The network helps show where Isis Bonet may publish in the future.
Co-authorship network of co-authors of Isis Bonet
This figure shows the co-authorship network connecting the top 25 collaborators of Isis Bonet. A scholar is included among the top collaborators of Isis Bonet 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 Isis Bonet. Isis Bonet 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 27 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 45 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable | 1 |
| 14 | 12 | |
| 15 | 7 | |
| 16 | Predicción de resistencia a fármacos del VIH utilizando multiclasificadores | 1 |
| 17 | Sistema de diagnóstico para la estimación de secciones en fallo en sistemas eléctricos de potencia | 1 |
| 18 | 57 | |
| 19 | 6 | |
| 20 | 13 |
About Isis Bonet
Isis Bonet is a scholar working on Virology, Management Science and Operations Research and Accounting, having authored 30 papers that have together received 300 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Bioinformatics (3 papers) and Oil Palm Production and Sustainability (3 papers). The work is most often cited by research in Signal Processing (36 citations), Computational Theory and Mathematics (47 citations) and Experimental and Cognitive Psychology (33 citations). Isis Bonet has collaborated with scholars based in Colombia, United Kingdom and Cuba. Frequent co-authors include Mario Góngora, Alejandro Peña, Francisco Chiclana, María M. García, Antonio Morán, Eugenio Uriarte, Aron Larsson, Rahim Rahmani, Humberto González‐Díaz and Erik De Clercq. Their work appears in journals such as Expert Systems with Applications, European Journal of Medicinal Chemistry and Applied Soft Computing.
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.