Antonietta Pepe
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Neurology top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Jussi TohkaChristian GaserHeikki HuttunenElaheh MoradiFabrice CrivelloSimon E. FisherAmaia Carrión-CastilloClyde Francks
- Topics
- Advanced Neuroimaging Techniques and Applications (7 papers)Hemispheric Asymmetry in Neuroscience (4 papers)Morphological variations and asymmetry (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNeuroImageAmerican Journal of Clinical Nutrition
- Partner nations
- FranceNetherlandsItaly
In The Last Decade
Antonietta Pepe
16 papers receiving 697 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 287
- Psychiatry and Mental health 276
- Neurology 210
- Artificial Intelligence 166
- Radiology, Nuclear Medicine and Imaging 141
Countries citing papers authored by Antonietta Pepe
This map shows the geographic impact of Antonietta Pepe'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 Antonietta Pepe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonietta Pepe more than expected).
Fields of papers citing papers by Antonietta Pepe
This network shows the impact of papers produced by Antonietta Pepe. 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 Antonietta Pepe. The network helps show where Antonietta Pepe may publish in the future.
Co-authorship network of co-authors of Antonietta Pepe
This figure shows the co-authorship network connecting the top 25 collaborators of Antonietta Pepe. A scholar is included among the top collaborators of Antonietta Pepe 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 Antonietta Pepe. Antonietta Pepe 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 | 4 | |
| 3 | 3 | |
| 4 | 28 | |
| 5 | 66 | |
| 6 | 7 | |
| 7 | 19 | |
| 8 | 6 | |
| 9 | 25 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 22 | |
| 13 | 10 | |
| 14 | Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjectsbreakdown → | 492 |
| 15 | 15 | |
| 16 | 1 | |
| 17 | 2 |
About Antonietta Pepe
Antonietta Pepe is a scholar working on Anatomy, Aging and Geometry and Topology, having authored 17 papers that have together received 719 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Hemispheric Asymmetry in Neuroscience (4 papers) and Morphological variations and asymmetry (4 papers). The work is most often cited by research in Neurology (210 citations), Psychiatry and Mental health (276 citations) and Cognitive Neuroscience (287 citations). Antonietta Pepe has collaborated with scholars based in France, Netherlands and Italy. Frequent co-authors include Jussi Tohka, Christian Gaser, Heikki Huttunen, Elaheh Moradi, Fabrice Crivello, Simon E. Fisher, Amaia Carrión-Castillo, Clyde Francks, Marc Joliot and Bernard Mazoyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and American Journal of Clinical Nutrition.
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.