M.G. Dagenais

121 total papers · 1.6k total citations
52 papers, 913 citations indexed

About

M.G. Dagenais is a scholar working on Economics and Econometrics, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, M.G. Dagenais has authored 52 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 9 papers in Statistics and Probability and 8 papers in General Economics, Econometrics and Finance. Recurrent topics in M.G. Dagenais's work include Advanced Statistical Methods and Models (8 papers), Economics of Agriculture and Food Markets (5 papers) and Monetary Policy and Economic Impact (5 papers). M.G. Dagenais is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Economics of Agriculture and Food Markets (5 papers) and Monetary Policy and Economic Impact (5 papers). M.G. Dagenais collaborates with scholars based in Canada, Algeria and Netherlands. M.G. Dagenais's co-authors include Jean‐Marie Dufour, Pierre Mohnen, Jacques Mairesse, Marc Gaudry, Claude Montmarquette, Denis Bolduc, Reuven Brenner, Daniel Parent, Michaël Florian and Ulrich Blum and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Social Science & Medicine.

In The Last Decade

M.G. Dagenais

46 papers receiving 757 citations

Author Peers

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

Author Last Decade Papers Cites
M.G. Dagenais 500 161 153 130 108 52 913
Vassilis A. Hajivassiliou 662 1.3× 171 1.1× 148 1.0× 72 0.6× 181 1.7× 17 1.1k
Thierry Magnac 744 1.5× 112 0.7× 167 1.1× 63 0.5× 51 0.5× 52 1.1k
Richard H. Spady 554 1.1× 268 1.7× 461 3.0× 98 0.8× 124 1.1× 23 1.2k
Michael McAleer 424 0.8× 242 1.5× 89 0.6× 32 0.2× 224 2.1× 55 842
Ana María Pérez Marín 302 0.6× 53 0.3× 84 0.5× 75 0.6× 83 0.8× 46 826
T. D. Wallace 474 0.9× 159 1.0× 517 3.4× 23 0.2× 81 0.8× 22 1.2k
Paulo M.M. Rodrigues 526 1.1× 335 2.1× 37 0.2× 70 0.5× 266 2.5× 101 1.1k
Georges Bresson 574 1.1× 144 0.9× 22 0.1× 152 1.2× 60 0.6× 34 863
Federico Ciliberto 486 1.0× 175 1.1× 55 0.4× 32 0.2× 38 0.4× 34 912
Jack Porter 278 0.6× 46 0.3× 121 0.8× 28 0.2× 43 0.4× 44 1.0k

Countries citing papers authored by M.G. Dagenais

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Dagenais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Dagenais. 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 M.G. Dagenais. The network helps show where M.G. Dagenais may publish in the future.

Co-authorship network of co-authors of M.G. Dagenais

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Dagenais. A scholar is included among the top collaborators of M.G. Dagenais 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 M.G. Dagenais. M.G. Dagenais 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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