Silvia Serino
- Cognitive Neuroscience top 2%
- Human-Computer Interaction top 0.2%
- Clinical Psychology top 2%
- Psychiatry and Mental health top 2%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Giuseppe RivaPietro CipressoElisa PedroliAndrea GaggioliDaniele Di LerniaFederica PallaviciniAntonios DakanalisStefano Triberti
- Topics
- Virtual Reality Applications and Impacts (22 papers)Memory and Neural Mechanisms (17 papers)Eating Disorders and Behaviors (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature NeuroscienceCurrent Biology
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Silvia Serino
128 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 139
- Cognitive Neuroscience 998
- Human-Computer Interaction 857
- Clinical Psychology 737
- Psychiatry and Mental health 662
- Experimental and Cognitive Psychology 547
Countries citing papers authored by Silvia Serino
This map shows the geographic impact of Silvia Serino'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 Silvia Serino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Serino more than expected).
Fields of papers citing papers by Silvia Serino
This network shows the impact of papers produced by Silvia Serino. 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 Silvia Serino. The network helps show where Silvia Serino may publish in the future.
Co-authorship network of co-authors of Silvia Serino
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Serino. A scholar is included among the top collaborators of Silvia Serino 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 Silvia Serino. Silvia Serino 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 36 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 65 | |
| 16 | 23 | |
| 17 | 32 | |
| 18 | 68 | |
| 19 | 7 | |
| 20 | 6 |
About Silvia Serino
Silvia Serino is a scholar working on Human-Computer Interaction, Applied Psychology and Cognitive Neuroscience, having authored 132 papers that have together received 3.5k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (22 papers), Memory and Neural Mechanisms (17 papers) and Eating Disorders and Behaviors (17 papers). The work is most often cited by research in Human-Computer Interaction (857 citations), Neuropsychology and Physiological Psychology (96 citations) and Applied Psychology (289 citations). Silvia Serino has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Giuseppe Riva, Pietro Cipresso, Elisa Pedroli, Andrea Gaggioli, Daniele Di Lernia, Federica Pallavicini, Antonios Dakanalis, Stefano Triberti, Cosimo Tuena and Claudia Repetto. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Current Biology.
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.