Giuseppe Porro
- Economics and Econometrics top 0.5%
- Sociology and Political Science top 1%
- Accounting top 1%
- Strategy and Management top 2%
- General Health Professions top 2%
- Co-authors
- Stefano M. IacusGary KingMatthew BlackwellLuigi CuriniAndrea CerónSilvia SaliniElena SilettiM. Lazzaroni
- Topics
- Statistical Methods and Inference (12 papers)Advanced Causal Inference Techniques (10 papers)Statistical Methods and Bayesian Inference (9 papers)
- Journals
- Journal of the American Statistical AssociationJournal of Statistical SoftwareNew Media & Society
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Giuseppe Porro
33 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Economics and Econometrics 1.7k
- Sociology and Political Science 1.4k
- Accounting 800
- Strategy and Management 589
- General Health Professions 558
Countries citing papers authored by Giuseppe Porro
This map shows the geographic impact of Giuseppe Porro'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 Giuseppe Porro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Porro more than expected).
Fields of papers citing papers by Giuseppe Porro
This network shows the impact of papers produced by Giuseppe Porro. 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 Giuseppe Porro. The network helps show where Giuseppe Porro may publish in the future.
Co-authorship network of co-authors of Giuseppe Porro
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Porro. A scholar is included among the top collaborators of Giuseppe Porro 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 Giuseppe Porro. Giuseppe Porro 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 | 1 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 67 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | Causal Inference without Balance Checking: Coarsened Exact Matchingbreakdown → | 2449 |
| 12 | Multivariate Matching Methods That Are Monotonic Imbalance Boundingbreakdown → | 699 |
| 13 | 3 | |
| 14 | Cem: Coarsened Exact Matching in Statabreakdown → | 1264 |
| 15 | 116 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | Biomaterials for joint prostheses. | 1 |
| 19 | 18 | |
| 20 | 1 |
About Giuseppe Porro
Giuseppe Porro is a scholar working on Industrial relations, Statistics and Probability and Public Administration, having authored 36 papers that have together received 5.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Advanced Causal Inference Techniques (10 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Accounting (800 citations), Economics and Econometrics (1.7k citations) and Management of Technology and Innovation (333 citations). Giuseppe Porro has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Stefano M. Iacus, Gary King, Matthew Blackwell, Luigi Curini, Andrea Cerón, Gary King, Silvia Salini, Elena Siletti, M. Lazzaroni and Airo Hino. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Software and New Media & Society.
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.