Massimo Del Gatto

59 total papers · 1.1k total citations
21 papers, 751 citations indexed

About

Massimo Del Gatto is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Strategy and Management. According to data from OpenAlex, Massimo Del Gatto has authored 21 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 12 papers in General Economics, Econometrics and Finance and 7 papers in Strategy and Management. Recurrent topics in Massimo Del Gatto's work include Global trade and economics (12 papers), Economic Growth and Productivity (10 papers) and Firm Innovation and Growth (8 papers). Massimo Del Gatto is often cited by papers focused on Global trade and economics (12 papers), Economic Growth and Productivity (10 papers) and Firm Innovation and Growth (8 papers). Massimo Del Gatto collaborates with scholars based in Italy, Azerbaijan and Germany. Massimo Del Gatto's co-authors include Gianmarco I.P. Ottaviano, Marcello Pagnini, Adriana Di Liberto, Carmelo Petraglia, Michèle Battisti, Giordano Mion, Filippo Belloc, Christopher F. Parmeter, Grégory Corcos and Fabiano Schivardi and has published in prestigious journals such as Regional Studies, Journal of Economic Surveys and Journal of Economic Dynamics and Control.

In The Last Decade

Massimo Del Gatto

19 papers receiving 726 citations

Author Peers

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

Author Last Decade Papers Cites
Massimo Del Gatto 648 321 149 97 57 21 751
Ezra Oberfield 532 0.8× 287 0.9× 52 0.3× 85 0.9× 67 1.2× 19 656
Claire Economidou 510 0.8× 258 0.8× 117 0.8× 120 1.2× 96 1.7× 31 705
Marshall Reinsdorf 498 0.8× 282 0.9× 63 0.4× 50 0.5× 39 0.7× 33 629
Eric O'n. Fisher 482 0.7× 302 0.9× 145 1.0× 50 0.5× 41 0.7× 41 665
Jean‐Marie Viaene 425 0.7× 383 1.2× 194 1.3× 122 1.3× 63 1.1× 33 628
WenShwo Fang 558 0.9× 348 1.1× 258 1.7× 43 0.4× 53 0.9× 36 699
Christophe Kamps 754 1.2× 416 1.3× 116 0.8× 40 0.4× 46 0.8× 33 812
Marios Zachariadis 570 0.9× 313 1.0× 83 0.6× 57 0.6× 25 0.4× 29 680
Roy J. Ruffin 676 1.0× 512 1.6× 85 0.6× 117 1.2× 37 0.6× 48 884
J. B. D. Derksen 487 0.8× 271 0.8× 54 0.4× 38 0.4× 27 0.5× 21 728

Countries citing papers authored by Massimo Del Gatto

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Del Gatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Del Gatto. 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 Massimo Del Gatto. The network helps show where Massimo Del Gatto may publish in the future.

Co-authorship network of co-authors of Massimo Del Gatto

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Del Gatto. A scholar is included among the top collaborators of Massimo Del Gatto 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 Massimo Del Gatto. Massimo Del Gatto 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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