Flavia Di Costa
- Statistics, Probability and Uncertainty top 1%
- Strategy and Management top 5%
- Economics and Econometrics top 5%
- Management of Technology and Innovation top 5%
- Political Science and International Relations top 10%
- Co-authors
- Ciriaco Andrea D’AngeloGiovanni AbramoGiorgio MatteucciAlberto NastasiCinzia DaraioMarco Diana
- Topics
- scientometrics and bibliometrics research (13 papers)Intellectual Capital and Performance Analysis (6 papers)Innovation and Knowledge Management (5 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement of Technology and InnovationStrategy and Management
- Partner nations
- ItalyUnited States
In The Last Decade
Flavia Di Costa
23 papers receiving 681 citations
Peers
Comparison fields: 5 of 97
- Statistics, Probability and Uncertainty 259
- Strategy and Management 208
- Economics and Econometrics 164
- Management of Technology and Innovation 130
- Political Science and International Relations 100
Countries citing papers authored by Flavia Di Costa
This map shows the geographic impact of Flavia Di Costa'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 Flavia Di Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flavia Di Costa more than expected).
Fields of papers citing papers by Flavia Di Costa
This network shows the impact of papers produced by Flavia Di Costa. 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 Flavia Di Costa. The network helps show where Flavia Di Costa may publish in the future.
Co-authorship network of co-authors of Flavia Di Costa
This figure shows the co-authorship network connecting the top 25 collaborators of Flavia Di Costa. A scholar is included among the top collaborators of Flavia Di Costa 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 Flavia Di Costa. Flavia Di Costa 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 | 3 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 41 | |
| 13 | 11 | |
| 14 | 126 | |
| 15 | 14 | |
| 16 | 56 | |
| 17 | 78 | |
| 18 | 15 | |
| 19 | 56 | |
| 20 | 152 |
About Flavia Di Costa
Flavia Di Costa is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Management of Technology and Innovation, having authored 24 papers that have together received 722 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (13 papers), Intellectual Capital and Performance Analysis (6 papers) and Innovation and Knowledge Management (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (259 citations), Management of Technology and Innovation (130 citations) and Strategy and Management (208 citations). Flavia Di Costa has collaborated with scholars based in Italy and United States. Frequent co-authors include Ciriaco Andrea D’Angelo, Giovanni Abramo, Giorgio Matteucci, Alberto Nastasi, Cinzia Daraio and Marco Diana. Their work appears in journals such as PLoS ONE, European Journal of Operational Research and Technovation.
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.