Cristina Zucca
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- Scientific Measurement and Uncertainty Evaluation 4
- Finance top 10%
- Stochastic processes and financial applications 4
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 6
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- Advanced Frequency and Time Standards 7
- Statistics and Probability top 10%
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- Neural dynamics and brain function 8
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- stochastic dynamics and bifurcation 8
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- Diffusion and Search Dynamics 4
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- Neural Networks and Applications 3
- Co-authors
- Patrizia TavellaLaura SacerdoteLorenzo GalleaniMarı́a Teresa GiraudoMassimiliano TamborrinoPetr LánskýSamuel HerrmannG. Panfilo
In The Last Decade
Cristina Zucca
27 papers receiving 482 citations
Peers
Comparison fields: 5 of 69
- Statistics, Probability and Uncertainty 78
- Finance 67
- Mathematical Physics 59
- Atomic and Molecular Physics, and Optics 177
- Statistics and Probability 46
Countries citing papers authored by Cristina Zucca
This map shows the geographic impact of Cristina Zucca'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 Cristina Zucca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Zucca more than expected).
Fields of papers citing papers by Cristina Zucca
This network shows the impact of papers produced by Cristina Zucca. 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 Cristina Zucca. The network helps show where Cristina Zucca may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Cristina Zucca, 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 | 2021 | 3 | |
| 2 | 2019 | 11 | |
| 3 | 2016 | 11 | |
| 4 | 2016 | 11 | |
| 5 | 2016 | 1 | |
| 6 | 2015 | 23 | |
| 7 | 2015 | 18 | |
| 8 | 2014 | 9 | |
| 9 | 2013 | 3 | |
| 10 | 2012 | 12 | |
| 11 | 2011 | 13 | |
| 12 | 2009 | 30 | |
| 13 | 2007 | 12 | |
| 14 | 2007 | 0 | |
| 15 | 2006 | 7 | |
| 16 | 2006 | 7 | |
| 17 | 2005 | 178 | |
| 18 | 2004 | 5 | |
| 19 | THRESHOLD SHAPE CORRESPONDING TO A GAMMA FIRING DISTRIBUTION IN AN ORNSTEIN-UHLENBECK NEURONAL MODEL | 2003 | 5 |
| 20 | 2001 | 38 |
About Cristina Zucca
Cristina Zucca is a scholar working on Statistics, Probability and Uncertainty, Mathematical Physics and Statistical and Nonlinear Physics, having authored 29 papers that have together received 503 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), stochastic dynamics and bifurcation (8 papers), Advanced Frequency and Time Standards (7 papers), Stochastic processes and statistical mechanics (6 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Stochastic processes and financial applications (4 papers), Diffusion and Search Dynamics (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (78 citations), Finance (67 citations) and Mathematical Physics (59 citations). Cristina Zucca has collaborated with scholars based in Italy, France and Czechia. Frequent co-authors include Patrizia Tavella, Laura Sacerdote, Lorenzo Galleani, Marı́a Teresa Giraudo, Massimiliano Tamborrino, Petr Lánský, Samuel Herrmann, G. Panfilo, Goran Peškir and Lubomir Kostal. Their work appears in journals such as Mathematical Biosciences, Journal of Computational and Applied Mathematics, Advances in Applied Probability, Metrologia and Stochastic Processes and their Applications.
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.