Damián Oliva
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Ecology
- Nature and Landscape Conservation
- Co-authors
- Daniel TomsicVioleta MedanGabriela HermitteMartín Berón de AstradaJulieta SztarkerGermán MatoLuis G. Uzeda GarciaV. Thierry‐Mieg
- Topics
- Neurobiology and Insect Physiology Research (10 papers)Neural dynamics and brain function (5 papers)Fish biology, ecology, and behavior (5 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceEcology, Evolution, Behavior and Systematics
- Partner nations
- ArgentinaUnited StatesFrance
In The Last Decade
Damián Oliva
22 papers receiving 365 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 222
- Cognitive Neuroscience 121
- Ecology, Evolution, Behavior and Systematics 108
- Ecology 75
- Nature and Landscape Conservation 46
Countries citing papers authored by Damián Oliva
This map shows the geographic impact of Damián Oliva'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 Damián Oliva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damián Oliva more than expected).
Fields of papers citing papers by Damián Oliva
This network shows the impact of papers produced by Damián Oliva. 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 Damián Oliva. The network helps show where Damián Oliva may publish in the future.
Co-authorship network of co-authors of Damián Oliva
This figure shows the co-authorship network connecting the top 25 collaborators of Damián Oliva. A scholar is included among the top collaborators of Damián Oliva 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 Damián Oliva. Damián Oliva 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 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 26 | |
| 8 | Vehicle classification and speed estimation using Computer Vision techniques | 8 |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 40 | |
| 13 | 32 | |
| 14 | Unsupervised learning for crop/weeds discrimination in maize fields with high weeds densities. | 3 |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 57 | |
| 18 | 101 | |
| 19 | 3 | |
| 20 | 14 |
About Damián Oliva
Damián Oliva is a scholar working on Cellular and Molecular Neuroscience, Nature and Landscape Conservation and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 369 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Neural dynamics and brain function (5 papers) and Fish biology, ecology, and behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (222 citations), Cognitive Neuroscience (121 citations) and Ecology, Evolution, Behavior and Systematics (108 citations). Damián Oliva has collaborated with scholars based in Argentina, United States and France. Frequent co-authors include Daniel Tomsic, Violeta Medan, Gabriela Hermitte, Martín Berón de Astrada, Julieta Sztarker, Germán Mato, Luis G. Uzeda Garcia, V. Thierry‐Mieg, B. Jusserand and A. Fainstein. Their work appears in journals such as Physical Review Letters, Journal of Neurophysiology and Journal of Experimental Biology.
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.