Giuseppe Porro

7.7k total citations · 4 hit papers
36 papers, 5.5k citations indexed

About

Giuseppe Porro is a scholar working on Statistics and Probability, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Giuseppe Porro has authored 36 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 8 papers in Sociology and Political Science and 7 papers in Economics and Econometrics. Recurrent topics in Giuseppe Porro's work include Statistical Methods and Inference (12 papers), Advanced Causal Inference Techniques (10 papers) and Statistical Methods and Bayesian Inference (9 papers). Giuseppe Porro is often cited by papers focused on Statistical Methods and Inference (12 papers), Advanced Causal Inference Techniques (10 papers) and Statistical Methods and Bayesian Inference (9 papers). Giuseppe Porro collaborates with scholars based in Italy, United States and Spain. Giuseppe Porro's co-authors include Stefano M. Iacus, Gary King, Matthew Blackwell, Andrea Cerón, Luigi Curini, Gary King, Silvia Salini, Elena Siletti, M. Lazzaroni and Airo Hino and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Statistical Software and New Media & Society.

In The Last Decade

Giuseppe Porro

33 papers receiving 5.3k citations

Hit Papers

Causal Inference without Balance Checking: Coarsened Exac... 2009 2026 2014 2020 2011 2009 2011 2013 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giuseppe Porro Italy 13 1.7k 1.4k 800 589 558 36 5.5k
Stefano M. Iacus Italy 24 2.0k 1.2× 1.6k 1.2× 823 1.0× 622 1.1× 578 1.0× 105 7.1k
Chunrong Ai United States 17 2.7k 1.6× 1.4k 1.0× 1.8k 2.3× 1.1k 1.8× 708 1.3× 45 7.0k
Hristos Doucouliagos Australia 45 3.8k 2.3× 1.7k 1.2× 1.0k 1.3× 922 1.6× 509 0.9× 146 8.5k
T. D. Stanley United States 37 3.3k 2.0× 1.0k 0.8× 764 1.0× 576 1.0× 503 0.9× 113 7.5k
Leslie E. Papke United States 19 2.3k 1.4× 696 0.5× 1.1k 1.3× 760 1.3× 354 0.6× 31 4.8k
Barbara Sianesi United Kingdom 14 1.8k 1.1× 656 0.5× 376 0.5× 354 0.6× 545 1.0× 26 3.8k
David A. Jaeger United States 16 2.2k 1.4× 1.6k 1.2× 540 0.7× 242 0.4× 682 1.2× 43 4.9k
Sascha O. Becker United Kingdom 35 3.5k 2.1× 2.3k 1.7× 644 0.8× 635 1.1× 603 1.1× 117 7.4k
Steven Stillman New Zealand 29 2.6k 1.5× 1.8k 1.3× 909 1.1× 533 0.9× 756 1.4× 140 5.5k
Andrea Ichino Italy 33 2.9k 1.8× 1.6k 1.2× 613 0.8× 241 0.4× 976 1.7× 90 5.8k

Countries citing papers authored by Giuseppe Porro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Galmarini, Umberto, et al.. (2024). Victim’s identification and social categorization: first- and second-order effects on altruistic behavior. International Review of Economics. 71(4). 959–988.
2.
Hino, Airo, et al.. (2022). The Impact of COVID-19 on Subjective Well-Being: Evidence from Twitter Data. Journal of Data Science. 761–780. 3 indexed citations
3.
Iacus, Stefano M., Giuseppe Porro, Silvia Salini, & Elena Siletti. (2020). An Italian Composite Subjective Well-Being Index: The Voice of Twitter Users from 2012 to 2017. Social Indicators Research. 161(2-3). 471–489. 15 indexed citations
4.
Iacus, Stefano M., Giuseppe Porro, Silvia Salini, & Elena Siletti. (2019). Social Networks Data and Subjective Well-Being. An Innovative Measurement for Italian Provinces. IrInSubria (University of Insubria). 18. 667–678. 5 indexed citations
5.
Iacus, Stefano M., Gary King, & Giuseppe Porro. (2018). A Theory of Statistical Inference for Matching Methods in Causal Research. Political Analysis. 27(1). 46–68. 67 indexed citations
6.
Porro, Giuseppe, et al.. (2017). Do local subsidies to firms create jobs? Counterfactual evaluation of an Italian regional experience. Papers of the Regional Science Association. 97(4). 1039–1057. 9 indexed citations
7.
Iacus, Stefano M., Giuseppe Porro, Silvia Salini, & Elena Siletti. (2017). How to Exploit Big Data from Social Networks: a Subjective Well-being Indicator via Twitter. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 114. 537–542. 8 indexed citations
8.
Cappellin, Riccardo, et al.. (2016). Banche popolari, credito cooperativo, economia reale e costituzione. IrInSubria (University of Insubria). 1–111.
9.
Iacus, Stefano M., Gary King, & Giuseppe Porro. (2011). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis. 20(1). 1–24. 2449 indexed citations breakdown →
10.
Iacus, Stefano M., Gary King, & Giuseppe Porro. (2011). Multivariate Matching Methods That Are Monotonic Imbalance Bounding. Journal of the American Statistical Association. 106(493). 345–361. 699 indexed citations breakdown →
11.
Blackwell, Matthew, Stefano M. Iacus, Gary King, & Giuseppe Porro. (2009). Cem: Coarsened Exact Matching in Stata. The Stata Journal Promoting communications on statistics and Stata. 9(4). 524–546. 1264 indexed citations breakdown →
12.
Iacus, Stefano M. & Giuseppe Porro. (2009). Teachers’ evaluations and students’ achievement: a ‘deviation from the reference’ analysis. Education Economics. 19(2). 139–159. 3 indexed citations
13.
Iacus, Stefano M., Gary King, & Giuseppe Porro. (2009). cem: Software for Coarsened Exact Matching. Journal of Statistical Software. 30(9). 327 indexed citations
14.
Iacus, Stefano M., Gary King, & Giuseppe Porro. (2008). Matching for Causal Inference Without Balance Checking. SSRN Electronic Journal. 116 indexed citations
15.
Iacus, Stefano M., Gary King, & Giuseppe Porro. (2008). Coarsened exact matching. 39–43. 2 indexed citations
16.
Porro, Giuseppe & Stefano M. Iacus. (2008). Random Recursive Partitioning: a matching method for the estimation of the average treatment effect. Journal of Applied Econometrics. 24(1). 163–185. 20 indexed citations
17.
Iacus, Stefano M., et al.. (2003). Formazione e percorsi lavorativi dei laureati dell'Universita' degli Studi di Milano. SSRN Electronic Journal. 1 indexed citations
18.
Prever, Elena Maria Brach Del, Marcello Baricco, Luigi Costa, et al.. (2003). Biomaterials for joint prostheses.. 1–14. 1 indexed citations
19.
Lazzaroni, M. & Giuseppe Porro. (2001). Preparation, Premedication, and Surveillance. Endoscopy. 33(2). 103–108. 18 indexed citations
20.
Porro, Giuseppe. (1997). Tasks and Types: An Application of Mechanism Design to Self‐Selection in Labour Markets. Labour. 11(2). 391–406. 1 indexed citations

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.

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