Aniello Buonocore
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Finance top 5%
- Mathematical Physics top 10%
- Co-authors
- Luigi M. RicciardiA. G. NobileEnrica PirozziVirginia GiornoMaria Francesca CarforaShunsuke SatoGiuseppe D’OnofrioLuigi Del Giudice
- Topics
- Neural dynamics and brain function (14 papers)stochastic dynamics and bifurcation (14 papers)Diffusion and Search Dynamics (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeural ComputationApplied Mathematics and Computation
In The Last Decade
Aniello Buonocore
37 papers receiving 483 citations
Peers
Comparison fields: 5 of 79
- Statistical and Nonlinear Physics 198
- Cognitive Neuroscience 162
- Molecular Biology 161
- Finance 114
- Mathematical Physics 86
Countries citing papers authored by Aniello Buonocore
This map shows the geographic impact of Aniello Buonocore'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 Aniello Buonocore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aniello Buonocore more than expected).
Fields of papers citing papers by Aniello Buonocore
This network shows the impact of papers produced by Aniello Buonocore. 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 Aniello Buonocore. The network helps show where Aniello Buonocore may publish in the future.
Co-authorship network of co-authors of Aniello Buonocore
This figure shows the co-authorship network connecting the top 25 collaborators of Aniello Buonocore. A scholar is included among the top collaborators of Aniello Buonocore 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 Aniello Buonocore. Aniello Buonocore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 21 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 17 | |
| 7 | A MARKOV CHAIN-BASED MODEL FOR ACTOMYOSIN DYNAMICS | 6 |
| 8 | 24 | |
| 9 | 7 | |
| 10 | COLLECTIVE DYNAMICS: TOPICS ON COMPETITION AND COOPERATION IN THE BIOSCIENCES: A Selection of Papers in the Proceedings of the BIOCOMP2007 International Conference | 2 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 13 | |
| 20 | 5 |
About Aniello Buonocore
Aniello Buonocore is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Statistics and Probability, having authored 37 papers that have together received 504 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), stochastic dynamics and bifurcation (14 papers) and Diffusion and Search Dynamics (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (198 citations), Finance (114 citations) and Mathematical Physics (86 citations). Aniello Buonocore has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Luigi M. Ricciardi, A. G. Nobile, Enrica Pirozzi, Virginia Giorno, Maria Francesca Carfora, Shunsuke Sato, Giuseppe D’Onofrio, Luigi Del Giudice, Klaus Wolf and Domenica Rita Massardo. Their work appears in journals such as SHILAP Revista de lepidopterología, Neural Computation and Applied Mathematics and 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.