Maria Guerrisi
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Artificial Intelligence top 10%
- Neurology top 10%
- Co-authors
- Nicola ToschiAndrea DuggentoAllegra ContiIole IndovinaTobias WeltLuca PassamontiMartin E. KeckRoberto Floris
- Topics
- Functional Brain Connectivity Studies (23 papers)Advanced Neuroimaging Techniques and Applications (19 papers)Heart Rate Variability and Autonomic Control (17 papers)
- Journals
- PLoS ONEScientific ReportsEpilepsia
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Maria Guerrisi
68 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 513
- Cognitive Neuroscience 293
- Cardiology and Cardiovascular Medicine 209
- Artificial Intelligence 185
- Neurology 119
Countries citing papers authored by Maria Guerrisi
This map shows the geographic impact of Maria Guerrisi'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 Maria Guerrisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Guerrisi more than expected).
Fields of papers citing papers by Maria Guerrisi
This network shows the impact of papers produced by Maria Guerrisi. 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 Maria Guerrisi. The network helps show where Maria Guerrisi may publish in the future.
Co-authorship network of co-authors of Maria Guerrisi
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Guerrisi. A scholar is included among the top collaborators of Maria Guerrisi 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 Maria Guerrisi. Maria Guerrisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 20 | |
| 5 | Radiomics in breast cancer classification and predictionbreakdown → | 256 |
| 6 | 31 | |
| 7 | 30 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | Lower instantaneous entropy of heartbeat dynamics characterizes cognitive impairment in Parkinson's disease | 2 |
| 11 | Increased instability of heartbeat dynamics in Parkinson's disease | 6 |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 43 | |
| 16 | 1 | |
| 17 | 43 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 33 |
About Maria Guerrisi
Maria Guerrisi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (23 papers), Advanced Neuroimaging Techniques and Applications (19 papers) and Heart Rate Variability and Autonomic Control (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (513 citations), Cognitive Neuroscience (293 citations) and Neurology (119 citations). Maria Guerrisi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Nicola Toschi, Andrea Duggento, Allegra Conti, Iole Indovina, Tobias Welt, Luca Passamonti, Martin E. Keck, Roberto Floris, Riccardo Barbieri and Francesco Garaci. Their work appears in journals such as PLoS ONE, Scientific Reports and Epilepsia.
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.