Paula Pazo-Álvarez
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 5%
- Cellular and Molecular Neuroscience
- Social Psychology
- Signal Processing top 10%
- Co-authors
- Elena AmenedoFernando CadaveiraAlmudena CapillaÁlvaro DarribaLaura Lorenzo‐LópezPablo CampoJoachim GroßAndrew C. Papanicolaou
- Topics
- Visual perception and processing mechanisms (11 papers)Neural and Behavioral Psychology Studies (10 papers)Neural dynamics and brain function (9 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyCellular and Molecular Neuroscience
- Journals
- PLoS ONENeuroImageBrain Research
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Paula Pazo-Álvarez
19 papers receiving 861 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 761
- Experimental and Cognitive Psychology 302
- Cellular and Molecular Neuroscience 90
- Social Psychology 45
- Signal Processing 44
Countries citing papers authored by Paula Pazo-Álvarez
This map shows the geographic impact of Paula Pazo-Álvarez'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 Paula Pazo-Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Pazo-Álvarez more than expected).
Fields of papers citing papers by Paula Pazo-Álvarez
This network shows the impact of papers produced by Paula Pazo-Álvarez. 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 Paula Pazo-Álvarez. The network helps show where Paula Pazo-Álvarez may publish in the future.
Co-authorship network of co-authors of Paula Pazo-Álvarez
This figure shows the co-authorship network connecting the top 25 collaborators of Paula Pazo-Álvarez. A scholar is included among the top collaborators of Paula Pazo-Álvarez 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 Paula Pazo-Álvarez. Paula Pazo-Álvarez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 36 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 166 | |
| 10 | 11 | |
| 11 | 51 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 57 | |
| 15 | 53 | |
| 16 | 94 | |
| 17 | 32 | |
| 18 | 45 | |
| 19 | 245 |
About Paula Pazo-Álvarez
Paula Pazo-Álvarez is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems, having authored 19 papers that have together received 872 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (11 papers), Neural and Behavioral Psychology Studies (10 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cognitive Neuroscience (761 citations), Experimental and Cognitive Psychology (302 citations) and Cellular and Molecular Neuroscience (90 citations). Paula Pazo-Álvarez has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Elena Amenedo, Fernando Cadaveira, Almudena Capilla, Álvaro Darriba, Laura Lorenzo‐López, Pablo Campo, Joachim Groß, Andrew C. Papanicolaou, Joshua I. Breier and Dominique Kessel. Their work appears in journals such as PLoS ONE, NeuroImage and Brain Research.
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.