Lea Baecker
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
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- Dementia and Cognitive Impairment Research
Papers in
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- Functional Brain Connectivity Studies 5
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- Dementia and Cognitive Impairment Research 3
- Co-authors
- Andrea Mechelli (6 shared papers)Rafael Garcia‐Dias (4 shared papers)Cristina Scarpazza (4 shared papers)Sandra Vieira (4 shared papers)Walter Hugo Lopez Pinaya (3 shared papers)Vince D. Calhoun (2 shared papers)Pedro F. da Costa (2 shared papers)João Ricardo Sato (2 shared papers)
- Journals
- Translational Psychiatry (2 papers)Scientific Reports (1 paper)Human Brain Mapping (1 paper)EBioMedicine (1 paper)The Journal of Climate Change and Health (1 paper)
- Partner nations
- United KingdomItalyBrazil
In The Last Decade
Lea Baecker
5 papers receiving 256 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 144
- Psychiatry and Mental health 68
- Neurology 33
- Health Informatics 5
- Health, Toxicology and Mutagenesis 47
Countries citing papers authored by Lea Baecker
This map shows the geographic impact of Lea Baecker'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 Lea Baecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lea Baecker more than expected).
Fields of papers citing papers by Lea Baecker
This network shows the impact of papers produced by Lea Baecker. 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 Lea Baecker. The network helps show where Lea Baecker may publish in the future.
Co-authors
The 17 scholars most cited alongside Lea Baecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 113 | |
| 2 | 2021 | 64 | |
| 3 | 2021 | 37 | |
| 4 | 2020 | 27 | |
| 5 | 2024 | 19 | |
| 6 | 2025 | 0 |
About Lea Baecker
Lea Baecker is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis, having authored 6 papers that have together received 260 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Dementia and Cognitive Impairment Research (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Thermoregulation and physiological responses (1 paper), Complex Systems and Time Series Analysis (1 paper), Mental Health Research Topics (1 paper), Advanced MRI Techniques and Applications (1 paper) and Climate Change and Health Impacts (1 paper). The work is most often cited by research in Cognitive Neuroscience (144 citations), Psychiatry and Mental health (68 citations), Neurology (33 citations), Health Informatics (5 citations) and Health, Toxicology and Mutagenesis (47 citations). Lea Baecker has collaborated with scholars based in United Kingdom, Italy and Brazil. Frequent co-authors include Andrea Mechelli, Rafael Garcia‐Dias, Cristina Scarpazza, Sandra Vieira, Walter Hugo Lopez Pinaya, Vince D. Calhoun, Pedro F. da Costa, João Ricardo Sato, Jessica Dafflon and Minji Ha. Their work appears in journals such as Translational Psychiatry, Scientific Reports, Human Brain Mapping, EBioMedicine and The Journal of Climate Change and Health.
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.