Liana Machado
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 5%
- Psychiatry and Mental health top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Neurology top 5%
- Co-authors
- Hayley GuineyRobert D. RafalRobert T. KnightSamuel J. E. LucasJames D. CotterNotger G. MüllerShugo SuwazonoTony Ro
- Topics
- Neural and Behavioral Psychology Studies (33 papers)Visual perception and processing mechanisms (20 papers)EEG and Brain-Computer Interfaces (12 papers)
- Cited by
- Cognitive NeuroscienceNeuropsychology and Physiological PsychologyExperimental and Cognitive Psychology
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
Liana Machado
75 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 1.1k
- Experimental and Cognitive Psychology 313
- Psychiatry and Mental health 312
- Cardiology and Cardiovascular Medicine 190
- Neurology 186
Countries citing papers authored by Liana Machado
This map shows the geographic impact of Liana Machado'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 Liana Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liana Machado more than expected).
Fields of papers citing papers by Liana Machado
This network shows the impact of papers produced by Liana Machado. 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 Liana Machado. The network helps show where Liana Machado may publish in the future.
Co-authorship network of co-authors of Liana Machado
This figure shows the co-authorship network connecting the top 25 collaborators of Liana Machado. A scholar is included among the top collaborators of Liana Machado 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 Liana Machado. Liana Machado 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 | 2 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 29 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 30 | |
| 13 | 30 | |
| 14 | 27 | |
| 15 | Blood pressure in dogs: a review. | 0 |
| 16 | Characteristics of fetal-neonatal transition period and physiological particularities of the neonate canine and feline. | 3 |
| 17 | 8 | |
| 18 | 40 | |
| 19 | 40 | |
| 20 | 28 |
About Liana Machado
Liana Machado is a scholar working on Neuropsychology and Physiological Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (33 papers), Visual perception and processing mechanisms (20 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Neuropsychology and Physiological Psychology (45 citations) and Experimental and Cognitive Psychology (313 citations). Liana Machado has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Hayley Guiney, Robert D. Rafal, Robert T. Knight, Samuel J. E. Lucas, James D. Cotter, Notger G. Müller, Shugo Suwazono, Tony Ro, Nancy Kanwisher and Amy Devine. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physiology.
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.