Marcella Montagnese
-
- Psychosomatic Disorders and Their Treatments 3
- Dementia and Cognitive Impairment Research 3
- Schizophrenia research and treatment 3
-
- Hallucinations in medical conditions 5
- Functional Brain Connectivity Studies 2
-
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 2
-
- Machine Learning in Healthcare 2
-
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Daniel CollertonPrabitha UrwylerJohn‐Paul TaylorDominic ffytcheRobert DudleyCharles FernyhoughNeil ThomasMitul A. Mehta
- Journals
- The British Journal of Psychiatry (1 paper)Schizophrenia Bulletin (1 paper)Schizophrenia Research (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Marcella Montagnese
13 papers receiving 114 citations
Peers
Comparison fields: 5 of 46
- Psychiatry and Mental health 49
- Health Informatics 4
- Cognitive Neuroscience 47
- Philosophy 17
- Experimental and Cognitive Psychology 18
Countries citing papers authored by Marcella Montagnese
This map shows the geographic impact of Marcella Montagnese'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 Marcella Montagnese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcella Montagnese more than expected).
Fields of papers citing papers by Marcella Montagnese
This network shows the impact of papers produced by Marcella Montagnese. 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 Marcella Montagnese. The network helps show where Marcella Montagnese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcella Montagnese, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 38 | |
| 14 | 2020 | 3 |
About Marcella Montagnese
Marcella Montagnese is a scholar working on Health Informatics, Psychiatry and Mental health and Cognitive Neuroscience, having authored 14 papers that have together received 115 indexed citations. Recurring topics across this work include Hallucinations in medical conditions (5 papers), Psychosomatic Disorders and Their Treatments (3 papers), Dementia and Cognitive Impairment Research (3 papers), Schizophrenia research and treatment (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Machine Learning in Healthcare (2 papers), Functional Brain Connectivity Studies (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Psychiatry and Mental health (49 citations), Health Informatics (4 citations) and Cognitive Neuroscience (47 citations). Marcella Montagnese has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Daniel Collerton, Prabitha Urwyler, John‐Paul Taylor, Dominic ffytche, Robert Dudley, Charles Fernyhough, Neil Thomas, Mitul A. Mehta, Flavie Waters and Renaud Jardri. Their work appears in journals such as The British Journal of Psychiatry, Schizophrenia Bulletin and Schizophrenia Research.
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.