Antonio Palestrini
- Economics and Econometrics top 2%
- Finance top 5%
- General Economics, Econometrics and Finance top 5%
- Management Science and Operations Research top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Mauro GallegatiEdoardo GaffeoGianfranco GiulioniDomenico Delli GattiCorrado Di GuilmiAlan KirmanRoberto LeombruniMarco Gallegati
- Topics
- Economic theories and models (24 papers)Complex Systems and Time Series Analysis (22 papers)Firm Innovation and Growth (13 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Antonio Palestrini
38 papers receiving 728 citations
Peers
Comparison fields: 5 of 71
- Economics and Econometrics 647
- Finance 221
- General Economics, Econometrics and Finance 200
- Management Science and Operations Research 83
- Statistical and Nonlinear Physics 61
Countries citing papers authored by Antonio Palestrini
This map shows the geographic impact of Antonio Palestrini'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 Antonio Palestrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Palestrini more than expected).
Fields of papers citing papers by Antonio Palestrini
This network shows the impact of papers produced by Antonio Palestrini. 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 Antonio Palestrini. The network helps show where Antonio Palestrini may publish in the future.
Co-authorship network of co-authors of Antonio Palestrini
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Palestrini. A scholar is included among the top collaborators of Antonio Palestrini 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 Antonio Palestrini. Antonio Palestrini 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 | 6 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 17 | |
| 8 | Firm size distribution and the survival bias | 1 |
| 9 | Unbiased adaptive expectation schemes | 4 |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | A Big Mac Test of Price Dynamics and Dispersion Across Euro Area | 1 |
| 14 | 15 | |
| 15 | The empty core in the Coase theorem: a critical assessment | 3 |
| 16 | Common Components in Firms' Growth and the Sectors Scaling Puzzle | 4 |
| 17 | 19 | |
| 18 | 17 | |
| 19 | 211 | |
| 20 | 17 |
About Antonio Palestrini
Antonio Palestrini is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 41 papers that have together received 772 indexed citations. Recurring topics across this work include Economic theories and models (24 papers), Complex Systems and Time Series Analysis (22 papers) and Firm Innovation and Growth (13 papers). The work is most often cited by research in General Economics, Econometrics and Finance (200 citations), Economics and Econometrics (647 citations) and Finance (221 citations). Antonio Palestrini has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Mauro Gallegati, Edoardo Gaffeo, Gianfranco Giulioni, Domenico Delli Gatti, Corrado Di Guilmi, Mauro Gallegati, Alan Kirman, Roberto Leombruni, Marco Gallegati and Alberto Russo. Their work appears in journals such as PLoS ONE, Ecological Economics and Information Sciences.
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.