Fabrizia Mealli

183 total papers · 2.9k total citations
81 papers, 1.4k citations indexed

About

Fabrizia Mealli is a scholar working on Statistics and Probability, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Fabrizia Mealli has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 23 papers in Economics and Econometrics and 7 papers in Sociology and Political Science. Recurrent topics in Fabrizia Mealli's work include Advanced Causal Inference Techniques (40 papers), Statistical Methods and Inference (25 papers) and Statistical Methods and Bayesian Inference (23 papers). Fabrizia Mealli is often cited by papers focused on Advanced Causal Inference Techniques (40 papers), Statistical Methods and Inference (25 papers) and Statistical Methods and Bayesian Inference (23 papers). Fabrizia Mealli collaborates with scholars based in Italy, United States and United Kingdom. Fabrizia Mealli's co-authors include Donald B. Rubin, Alessandra Mattei, Barbara Pacini, Bruno Arpino, Tommaso Nannicini, Andrea Ichino, Fan Li, Lorenzo Guarcello, Furio C. Rosati and Junni L. Zhang and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Fabrizia Mealli

76 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fabrizia Mealli 759 423 157 140 138 81 1.4k
Nikos Tzavidis 396 0.5× 406 1.0× 281 1.8× 94 0.7× 49 0.4× 67 1.2k
Oscar A. Mitnik 474 0.6× 448 1.1× 127 0.8× 71 0.5× 95 0.7× 29 1.1k
Richard K. Crump 459 0.6× 767 1.8× 130 0.8× 62 0.4× 86 0.6× 57 1.5k
Myoung‐jae Lee 483 0.6× 506 1.2× 179 1.1× 71 0.5× 63 0.5× 103 1.5k
Iván Fernández‐Val 594 0.8× 804 1.9× 163 1.0× 42 0.3× 47 0.3× 48 1.8k
Michael Jansson 462 0.6× 707 1.7× 147 0.9× 104 0.7× 81 0.6× 43 1.6k
Justin L. Tobias 224 0.3× 718 1.7× 198 1.3× 131 0.9× 92 0.7× 42 1.5k
Yingyao Hu 317 0.4× 605 1.4× 170 1.1× 38 0.3× 76 0.6× 67 1.3k
Stanislav Kolenikov 151 0.2× 331 0.8× 464 3.0× 94 0.7× 142 1.0× 39 1.6k
Azeem M. Shaikh 842 1.1× 541 1.3× 176 1.1× 99 0.7× 162 1.2× 59 1.6k

Countries citing papers authored by Fabrizia Mealli

Since Specialization
Citations

This map shows the geographic impact of Fabrizia Mealli'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 Fabrizia Mealli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizia Mealli more than expected).

Fields of papers citing papers by Fabrizia Mealli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabrizia Mealli. 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 Fabrizia Mealli. The network helps show where Fabrizia Mealli may publish in the future.

Co-authorship network of co-authors of Fabrizia Mealli

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizia Mealli. A scholar is included among the top collaborators of Fabrizia Mealli 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 Fabrizia Mealli. Fabrizia Mealli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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