Gabriel Núñez
- Signal Processing top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Paul PearceAdrienne Porter FeltDavid WagnerJulio CaballeroJosé Ramiro Martínez‐de DiosArturo Torres‐GonzálezAnı́bal OlleroGloria Montenegro
- Topics
- Bee Products Chemical Analysis (9 papers)Computational Drug Discovery Methods (9 papers)Insect and Pesticide Research (7 papers)
- Partner nations
- ChileSpainUnited States
In The Last Decade
Gabriel Núñez
37 papers receiving 538 citations
Peers
Comparison fields: 5 of 109
- Signal Processing 179
- Information Systems 126
- Computer Networks and Communications 117
- Molecular Biology 115
- Artificial Intelligence 88
Countries citing papers authored by Gabriel Núñez
This map shows the geographic impact of Gabriel Núñez'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 Gabriel Núñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Núñez more than expected).
Fields of papers citing papers by Gabriel Núñez
This network shows the impact of papers produced by Gabriel Núñez. 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 Gabriel Núñez. The network helps show where Gabriel Núñez may publish in the future.
Co-authorship network of co-authors of Gabriel Núñez
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Núñez. A scholar is included among the top collaborators of Gabriel Núñez 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 Gabriel Núñez. Gabriel Núñez 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 | 5 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | Comparison of volatile compounds in Retanilla trinervia [Gillies & Hook] Hook & Arn honeys from central Chile | 0 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Actividad antioxidante y antimicrobiana de mieles monoflorales de plantas nativas chilenas | 11 |
| 19 | 16 | |
| 20 | Tradición silente y comunicación oral en la Educación Secundaria | 2 |
About Gabriel Núñez
Gabriel Núñez is a scholar working on Insect Science, Toxicology and Computational Theory and Mathematics, having authored 40 papers that have together received 563 indexed citations. Recurring topics across this work include Bee Products Chemical Analysis (9 papers), Computational Drug Discovery Methods (9 papers) and Insect and Pesticide Research (7 papers). The work is most often cited by research in Software (65 citations), Signal Processing (179 citations) and Information Systems (126 citations). Gabriel Núñez has collaborated with scholars based in Chile, Spain and United States. Frequent co-authors include Paul Pearce, Adrienne Porter Felt, David Wagner, Julio Caballero, José Ramiro Martínez‐de Dios, Arturo Torres‐González, Anı́bal Ollero, Gloria Montenegro, Miguel Reyes‐Parada and Carolina Mascayano. Their work appears in journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.
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.