Lucía Alba‐Ferrara
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Psychiatry and Mental health top 10%
- Experimental and Cognitive Psychology top 10%
- Neurology
- Co-authors
- Gabriel A. de ErausquinMarkus HausmannRachel L.C. MitchellSusanne WeisAmanda EllisonEva LudowigHorst UrbachChristian E. Elger
- Topics
- Neurobiology of Language and Bilingualism (6 papers)Neural dynamics and brain function (5 papers)EEG and Brain-Computer Interfaces (5 papers)
- Partner nations
- ArgentinaUnited KingdomUnited States
In The Last Decade
Lucía Alba‐Ferrara
21 papers receiving 466 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 330
- Radiology, Nuclear Medicine and Imaging 127
- Psychiatry and Mental health 93
- Experimental and Cognitive Psychology 81
- Neurology 40
Countries citing papers authored by Lucía Alba‐Ferrara
This map shows the geographic impact of Lucía Alba‐Ferrara'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 Lucía Alba‐Ferrara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucía Alba‐Ferrara more than expected).
Fields of papers citing papers by Lucía Alba‐Ferrara
This network shows the impact of papers produced by Lucía Alba‐Ferrara. 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 Lucía Alba‐Ferrara. The network helps show where Lucía Alba‐Ferrara may publish in the future.
Co-authorship network of co-authors of Lucía Alba‐Ferrara
This figure shows the co-authorship network connecting the top 25 collaborators of Lucía Alba‐Ferrara. A scholar is included among the top collaborators of Lucía Alba‐Ferrara 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 Lucía Alba‐Ferrara. Lucía Alba‐Ferrara 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 34 | |
| 11 | Transcranial magnetic stimulation : methods, clinical uses and effects on the brain | 1 |
| 12 | 29 | |
| 13 | 11 | |
| 14 | 152 | |
| 15 | 16 | |
| 16 | 25 | |
| 17 | 17 | |
| 18 | 32 | |
| 19 | 61 | |
| 20 | 57 |
About Lucía Alba‐Ferrara
Lucía Alba‐Ferrara is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health, having authored 22 papers that have together received 471 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (6 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Cognitive Neuroscience (330 citations), Experimental and Cognitive Psychology (81 citations) and Psychiatry and Mental health (93 citations). Lucía Alba‐Ferrara has collaborated with scholars based in Argentina, United Kingdom and United States. Frequent co-authors include Gabriel A. de Erausquin, Markus Hausmann, Rachel L.C. Mitchell, Susanne Weis, Amanda Ellison, Eva Ludowig, Horst Urbach, Christian E. Elger, Timm Rosburg and Francisco Arnalich. Their work appears in journals such as PLoS ONE, Clinical Psychology Review and Neuropsychologia.
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.