Lorena R. R. Gianotti
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 2%
- Social Psychology top 5%
- Clinical Psychology top 5%
- Psychiatry and Mental health top 5%
- Co-authors
- Daria KnochDietrich LehmannPascal L. FaberPeter BruggerThomas BaumgärtnerRoberto D. Pascual‐MarquiDiego A. PizzagalliKieko Kochi
- Topics
- Neural and Behavioral Psychology Studies (20 papers)Neural dynamics and brain function (12 papers)Functional Brain Connectivity Studies (12 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Lorena R. R. Gianotti
44 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 157
- Cognitive Neuroscience 1.8k
- Experimental and Cognitive Psychology 543
- Social Psychology 376
- Clinical Psychology 326
- Psychiatry and Mental health 297
Countries citing papers authored by Lorena R. R. Gianotti
This map shows the geographic impact of Lorena R. R. Gianotti'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 Lorena R. R. Gianotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena R. R. Gianotti more than expected).
Fields of papers citing papers by Lorena R. R. Gianotti
This network shows the impact of papers produced by Lorena R. R. Gianotti. 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 Lorena R. R. Gianotti. The network helps show where Lorena R. R. Gianotti may publish in the future.
Co-authorship network of co-authors of Lorena R. R. Gianotti
This figure shows the co-authorship network connecting the top 25 collaborators of Lorena R. R. Gianotti. A scholar is included among the top collaborators of Lorena R. R. Gianotti 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 Lorena R. R. Gianotti. Lorena R. R. Gianotti 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 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 12 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 13 | |
| 11 | 30 | |
| 12 | 25 | |
| 13 | 40 | |
| 14 | 57 | |
| 15 | 36 | |
| 16 | 86 | |
| 17 | 388 | |
| 18 | 40 | |
| 19 | 78 | |
| 20 | 116 |
About Lorena R. R. Gianotti
Lorena R. R. Gianotti is a scholar working on Cognitive Neuroscience, General Decision Sciences and Applied Psychology, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (20 papers), Neural dynamics and brain function (12 papers) and Functional Brain Connectivity Studies (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), General Decision Sciences (138 citations) and Experimental and Cognitive Psychology (543 citations). Lorena R. R. Gianotti has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Daria Knoch, Dietrich Lehmann, Pascal L. Faber, Peter Brugger, Thomas Baumgärtner, Roberto D. Pascual‐Marqui, Diego A. Pizzagalli, Kieko Kochi, Marianne Regard and Martin Hohmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.