Jessica Dafflon
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Psychiatry and Mental health
- Health, Toxicology and Mutagenesis
- Artificial Intelligence
- Co-authors
- Pedro F. da CostaWalter Hugo Lopez PinayaFederico TurkheimerRobert LeechPeter J. HellyerLea BaeckerSandra VieiraVince D. Calhoun
- Topics
- Functional Brain Connectivity Studies (5 papers)Advanced Neuroimaging Techniques and Applications (3 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Jessica Dafflon
10 papers receiving 213 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 122
- Radiology, Nuclear Medicine and Imaging 54
- Psychiatry and Mental health 29
- Health, Toxicology and Mutagenesis 27
- Artificial Intelligence 27
Countries citing papers authored by Jessica Dafflon
This map shows the geographic impact of Jessica Dafflon'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 Jessica Dafflon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Dafflon more than expected).
Fields of papers citing papers by Jessica Dafflon
This network shows the impact of papers produced by Jessica Dafflon. 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 Jessica Dafflon. The network helps show where Jessica Dafflon may publish in the future.
Co-authorship network of co-authors of Jessica Dafflon
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Dafflon. A scholar is included among the top collaborators of Jessica Dafflon 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 Jessica Dafflon. Jessica Dafflon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Synthetic Sleep EEG Signal Generation using Latent Diffusion Models | 3 |
| 3 | 37 | |
| 4 | 64 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 35 | |
| 9 | 20 | |
| 10 | 16 |
About Jessica Dafflon
Jessica Dafflon is a scholar working on Cognitive Neuroscience, Sensory Systems and Psychiatry and Mental health, having authored 10 papers that have together received 216 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). The work is most often cited by research in Cognitive Neuroscience (122 citations), Health Informatics (4 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Jessica Dafflon has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Pedro F. da Costa, Walter Hugo Lopez Pinaya, Federico Turkheimer, Robert Leech, Peter J. Hellyer, Lea Baecker, Sandra Vieira, Vince D. Calhoun, João Ricardo Sato and Andrea Mechelli. Their work appears in journals such as Nature Communications, Neuroscience & Biobehavioral Reviews and Psychological Medicine.
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.