S. Bressi
- Cognitive Neuroscience top 1%
- Psychiatry and Mental health top 1%
- Clinical Psychology top 5%
- Experimental and Cognitive Psychology top 2%
- Neurology top 5%
- Co-authors
- Hans SpinnlerRobert H. LogieFerruccio FazioSergio Della SalaAD BaddeleyAlan BaddeleyDaniela PeraniStefano F. Cappa
- Topics
- Multiple Sclerosis Research Studies (5 papers)Memory and Neural Mechanisms (3 papers)Epilepsy research and treatment (3 papers)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
S. Bressi
26 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 1.4k
- Psychiatry and Mental health 1.1k
- Clinical Psychology 534
- Experimental and Cognitive Psychology 522
- Neurology 300
Countries citing papers authored by S. Bressi
This map shows the geographic impact of S. Bressi'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 S. Bressi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Bressi more than expected).
Fields of papers citing papers by S. Bressi
This network shows the impact of papers produced by S. Bressi. 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 S. Bressi. The network helps show where S. Bressi may publish in the future.
Co-authorship network of co-authors of S. Bressi
This figure shows the co-authorship network connecting the top 25 collaborators of S. Bressi. A scholar is included among the top collaborators of S. Bressi 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 S. Bressi. S. Bressi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Intraobserver and interobserver variability in schemes for estimating volume of brain lesions on MR images in multiple sclerosis. | 39 |
| 2 | 63 | |
| 3 | 12 | |
| 4 | Cross validation of the factor structure of the 20-item Toronto Alexithymia Scale: An Italian multicenter studybreakdown → | 553 |
| 5 | 102 | |
| 6 | 17 | |
| 7 | 89 | |
| 8 | Deficit of central executive component of working memory in schizophrenia | 14 |
| 9 | 104 | |
| 10 | 223 | |
| 11 | 248 | |
| 12 | 43 | |
| 13 | 52 | |
| 14 | 122 | |
| 15 | 21 | |
| 16 | 29 | |
| 17 | 98 | |
| 18 | 9 | |
| 19 | THE DECLINE OF WORKING MEMORY IN ALZHEIMER'S DISEASEbreakdown → | 503 |
| 20 | An example of a clinical trial in patients with Alzheimer's disease: some methodological issues. | 3 |
About S. Bressi
S. Bressi is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pathology and Forensic Medicine, having authored 26 papers that have together received 3.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Memory and Neural Mechanisms (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Psychiatry and Mental health (1.1k citations) and Experimental and Cognitive Psychology (522 citations). S. Bressi has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Hans Spinnler, Robert H. Logie, Ferruccio Fazio, Sergio Della Sala, AD Baddeley, Sergio Della Sala, Alan Baddeley, Daniela Perani, Stefano F. Cappa and Gıancarlo Comı. Their work appears in journals such as American Journal of Psychiatry, Brain and Neurology.
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.