Laura Sacerdote
- Statistical and Nonlinear Physics top 1%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Finance top 2%
- Mathematical Physics top 5%
- Co-authors
- Luigi M. RicciardiCristina ZuccaA. G. NobilePetr LánskýMarı́a Teresa GiraudoShunsuke SatoLorenzo GalleaniPatrizia Tavella
- Topics
- stochastic dynamics and bifurcation (40 papers)Neural dynamics and brain function (32 papers)Diffusion and Search Dynamics (23 papers)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
Laura Sacerdote
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Statistical and Nonlinear Physics 640
- Cognitive Neuroscience 481
- Molecular Biology 319
- Finance 264
- Mathematical Physics 227
Countries citing papers authored by Laura Sacerdote
This map shows the geographic impact of Laura Sacerdote'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 Laura Sacerdote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Sacerdote more than expected).
Fields of papers citing papers by Laura Sacerdote
This network shows the impact of papers produced by Laura Sacerdote. 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 Laura Sacerdote. The network helps show where Laura Sacerdote may publish in the future.
Co-authorship network of co-authors of Laura Sacerdote
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Sacerdote. A scholar is included among the top collaborators of Laura Sacerdote 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 Laura Sacerdote. Laura Sacerdote 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 | 2 | |
| 3 | 11 | |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | THRESHOLD SHAPE CORRESPONDING TO A GAMMA FIRING DISTRIBUTION IN AN ORNSTEIN-UHLENBECK NEURONAL MODEL | 5 |
| 11 | Multimodality of the interspike interval distribution in a simple jump-diffusion model. | 9 |
| 12 | 6 | |
| 13 | 51 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 24 | |
| 18 | 55 | |
| 19 | 2 | |
| 20 | 32 |
About Laura Sacerdote
Laura Sacerdote is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Cognitive Neuroscience, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (40 papers), Neural dynamics and brain function (32 papers) and Diffusion and Search Dynamics (23 papers). The work is most often cited by research in Statistical and Nonlinear Physics (640 citations), Finance (264 citations) and Mathematical Physics (227 citations). Laura Sacerdote has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Luigi M. Ricciardi, Cristina Zucca, A. G. Nobile, Petr Lánský, Marı́a Teresa Giraudo, Shunsuke Sato, Lorenzo Galleani, Patrizia Tavella, Shunsuke Sato and Virginia Giorno. Their work appears in journals such as Brain Research, Physics Letters A and Neural Computation.
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.