Matteo Cervellati

89 total papers · 1.4k total citations
43 papers, 718 citations indexed

About

Matteo Cervellati is a scholar working on Economics and Econometrics, Sociology and Political Science and Demography. According to data from OpenAlex, Matteo Cervellati has authored 43 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 18 papers in Sociology and Political Science and 18 papers in Demography. Recurrent topics in Matteo Cervellati's work include Culture, Economy, and Development Studies (15 papers), Economic Growth and Productivity (13 papers) and Income, Poverty, and Inequality (10 papers). Matteo Cervellati is often cited by papers focused on Culture, Economy, and Development Studies (15 papers), Economic Growth and Productivity (13 papers) and Income, Poverty, and Inequality (10 papers). Matteo Cervellati collaborates with scholars based in Italy, Germany and Spain. Matteo Cervellati's co-authors include Uwe Sunde, Thomas L. Vischer, Klaus F. Zimmermann, Farid Toubal, Paolo Vanin, Alireza Naghavi, Joan Esteban, Song Yuan, Paolo Buonanno and Giovanni Prarolo and has published in prestigious journals such as American Economic Review, Econometrica and The Economic Journal.

In The Last Decade

Matteo Cervellati

43 papers receiving 682 citations

Author Peers

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

Author						Papers	Cites
Matteo Cervellati	385	225	224	182	67	43	718
Shankha Chakraborty	474 1.2×	166 0.7×	246 1.1×	100 0.5×	69 1.0×	37	721
Fabrice Murtin	389 1.0×	198 0.9×	203 0.9×	115 0.6×	48 0.7×	51	693
Elena Meschi	413 1.1×	250 1.1×	118 0.5×	87 0.5×	37 0.6×	46	774
Bernhard Boockmann	372 1.0×	172 0.8×	249 1.1×	143 0.8×	41 0.6×	66	741
David A. Robalino	379 1.0×	205 0.9×	242 1.1×	140 0.8×	133 2.0×	75	845
Cynthia Bansak	294 0.8×	539 2.4×	262 1.2×	91 0.5×	78 1.2×	59	871
Djavad Salehi‐Isfahani	311 0.8×	354 1.6×	145 0.6×	100 0.5×	148 2.2×	56	887
Truman G. Packard	337 0.9×	165 0.7×	259 1.2×	153 0.8×	79 1.2×	42	838
Semih Tümen	263 0.7×	500 2.2×	138 0.6×	59 0.3×	68 1.0×	52	766
Adriana Camacho	238 0.6×	242 1.1×	182 0.8×	49 0.3×	255 3.8×	34	865

Countries citing papers authored by Matteo Cervellati

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Cervellati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Cervellati

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Cervellati. A scholar is included among the top collaborators of Matteo Cervellati 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 Matteo Cervellati. Matteo Cervellati 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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