Mario Menegatti

95 total papers · 1.2k total citations
55 papers, 757 citations indexed

About

Mario Menegatti is a scholar working on Economics and Econometrics, General Decision Sciences and Management Science and Operations Research. According to data from OpenAlex, Mario Menegatti has authored 55 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Economics and Econometrics, 16 papers in General Decision Sciences and 13 papers in Management Science and Operations Research. Recurrent topics in Mario Menegatti's work include Decision-Making and Behavioral Economics (16 papers), Housing Market and Economics (12 papers) and Risk and Portfolio Optimization (12 papers). Mario Menegatti is often cited by papers focused on Decision-Making and Behavioral Economics (16 papers), Housing Market and Economics (12 papers) and Risk and Portfolio Optimization (12 papers). Mario Menegatti collaborates with scholars based in Italy, United States and France. Mario Menegatti's co-authors include Donatella Baiardi, Marco Magnani, Louis Eeckhoudt, Charles F. Hofacker, Michel Denuit, David Crainich, Domenico Perrotta, Andrea Cerioli, Lucio Barabesi and Richard Peter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Management Science and European Journal of Operational Research.

In The Last Decade

Mario Menegatti

51 papers receiving 731 citations

Author Peers

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

Author						Papers	Cites
Mario Menegatti	480	178	150	120	99	55	757
Dek Terrell	533 1.1×	87 0.5×	79 0.5×	146 1.2×	63 0.6×	29	836
Achim Wambach	599 1.2×	50 0.3×	111 0.7×	243 2.0×	106 1.1×	73	885
Enrico Diecidue	459 1.0×	478 2.7×	42 0.3×	242 2.0×	67 0.7×	37	865
François Salanié	618 1.3×	127 0.7×	150 1.0×	199 1.7×	54 0.5×	28	837
Michael Landsberger	498 1.0×	112 0.6×	73 0.5×	358 3.0×	154 1.6×	35	751
Michele Bernasconi	542 1.1×	184 1.0×	188 1.3×	183 1.5×	20 0.2×	48	901
Levon Barseghyan	577 1.2×	184 1.0×	183 1.2×	54 0.5×	42 0.4×	40	782
J. Michael Orszag	460 1.0×	34 0.2×	322 2.1×	61 0.5×	22 0.2×	57	880
Joshua C. Teitelbaum	305 0.6×	189 1.1×	62 0.4×	48 0.4×	33 0.3×	44	664
Philippe De Donder	468 1.0×	40 0.2×	188 1.3×	52 0.4×	25 0.3×	94	720

Countries citing papers authored by Mario Menegatti

Since Specialization

Citations

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

Fields of papers citing papers by Mario Menegatti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Menegatti

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