Michel Lubrano

1.3k total citations
35 papers, 644 citations indexed

About

Michel Lubrano is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Sociology and Political Science. According to data from OpenAlex, Michel Lubrano has authored 35 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 15 papers in General Economics, Econometrics and Finance and 11 papers in Sociology and Political Science. Recurrent topics in Michel Lubrano's work include Monetary Policy and Economic Impact (14 papers), Income, Poverty, and Inequality (8 papers) and Financial Risk and Volatility Modeling (7 papers). Michel Lubrano is often cited by papers focused on Monetary Policy and Economic Impact (14 papers), Income, Poverty, and Inequality (8 papers) and Financial Risk and Volatility Modeling (7 papers). Michel Lubrano collaborates with scholars based in France, Belgium and China. Michel Lubrano's co-authors include Luc Bauwens, Jean‐François Richard, Camélia Protopopescu, Alan Kirman, Richard Pierse, Pierre Michel, Kaddour Hadri, Ruijun Bu, Henri Sneessens and Karim M. Abadir and has published in prestigious journals such as Journal of Cleaner Production, Journal of Econometrics and The Review of Economic Studies.

In The Last Decade

Michel Lubrano

30 papers receiving 585 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michel Lubrano France 13 384 261 252 85 61 35 644
Liang Hong United States 13 313 0.8× 307 1.2× 206 0.8× 114 1.3× 82 1.3× 69 605
Andréas Heinen France 13 355 0.9× 129 0.5× 409 1.6× 163 1.9× 57 0.9× 35 738
Paul Chapman United Kingdom 6 335 0.9× 140 0.5× 127 0.5× 100 1.2× 60 1.0× 15 550
Gautam Tripathi United States 10 195 0.5× 149 0.6× 121 0.5× 239 2.8× 44 0.7× 21 562
Yong Bao United States 12 336 0.9× 158 0.6× 285 1.1× 108 1.3× 63 1.0× 50 608
Stephen J. Perez United States 13 561 1.5× 416 1.6× 167 0.7× 73 0.9× 60 1.0× 26 826
Bryan W. Brown United States 10 325 0.8× 294 1.1× 151 0.6× 139 1.6× 85 1.4× 15 569
Geert Dhaene Belgium 12 429 1.1× 125 0.5× 121 0.5× 121 1.4× 42 0.7× 41 706
Angelo Melino Canada 13 619 1.6× 315 1.2× 736 2.9× 92 1.1× 67 1.1× 23 1.1k
Demián Pouzo United States 10 203 0.5× 144 0.6× 129 0.5× 228 2.7× 48 0.8× 27 487

Countries citing papers authored by Michel Lubrano

Since Specialization
Citations

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

Fields of papers citing papers by Michel Lubrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Lubrano

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

All Works

20 of 20 papers shown
1.
Lubrano, Michel, et al.. (2021). Optimal lockdowns for COVID‐19 pandemics: Analyzing the efficiency of sanitary policies in Europe. Journal of Public Economic Theory. 24(5). 944–967. 19 indexed citations
2.
Lubrano, Michel, et al.. (2020). A Bayesian look at American academic wages: From wage dispersion to wage compression. The Journal of Economic Inequality. 18(2). 213–238. 4 indexed citations
3.
Lubrano, Michel, et al.. (2019). Lie of the weak: Inconsistent corporate social responsibility activities of Chinese zombie firms. Journal of Cleaner Production. 253. 119858–119858. 20 indexed citations
4.
Lubrano, Michel, et al.. (2018). The Wall’s Impact in the Occupied West Bank: A Bayesian Approach to Poverty Dynamics Using Repeated Cross-Sections. Econometrics. 6(2). 29–29. 2 indexed citations
5.
Lubrano, Michel, et al.. (2015). Simulation Estimation of Two-tiered Dynamic Panel Tobit Models with an Application to the labour Supply of Married Women: A Comment. Journal of Applied Econometrics. 31(4). 756–761. 3 indexed citations
6.
Lubrano, Michel, et al.. (2012). HUMAN CAPITAL, SOCIAL CAPITAL AND SCIENTIFIC RESEARCH IN EUROPE: AN APPLICATION OF LINEAR HIERARCHICAL MODELS*. Manchester School. 81(6). 876–903. 3 indexed citations
7.
Lubrano, Michel, et al.. (2011). On Kolm's theory of Macrojustice : a pluridisciplinary forum of exchange. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
8.
Abadir, Karim M. & Michel Lubrano. (2010). Explicit Solutions for the Asymptotically-Optimal Bandwidth in Cross Validation. SSRN Electronic Journal. 1 indexed citations
9.
Bu, Ruijun, et al.. (2010). Modeling Multivariate Interest Rates Using Time-Varying Copulas and Reducible Nonlinear Stochastic Differential Equations. Journal of Financial Econometrics. 9(1). 198–236. 17 indexed citations
10.
Lubrano, Michel & Camélia Protopopescu. (2004). Density inference for ranking European research systems in the field of economics. Journal of Econometrics. 123(2). 345–369. 13 indexed citations
11.
Bauwens, Luc, Michel Lubrano, & Jean‐François Richard. (2000). Bayesian Inference in Dynamic Econometric Models. Oxford University Press eBooks. 277 indexed citations
12.
Lubrano, Michel. (1998). Smooth transition GARCH models: a bayesian perspective. Recherches économiques de Louvain. 67(3). 257–287. 17 indexed citations
13.
Lubrano, Michel, et al.. (1996). Unit roots tests and SARIMA models. Economics Letters. 50(2). 147–154. 3 indexed citations
14.
Lubrano, Michel, et al.. (1996). Real wages, quantity constraints and equilibrium unemployment: Belgium, 1955?1988. Empirical Economics. 21(3). 427–457. 5 indexed citations
15.
Bauwens, Luc & Michel Lubrano. (1991). Bayesian diagnostics for heterogeneity. Annals of Economics and Statistics. 21. 17–40. 5 indexed citations
16.
Lubrano, Michel, Richard Pierse, & Jean‐François Richard. (1986). Stability of a U. K. Money Demand Equation: A Bayesian Approach to Testing Exogeneity. The Review of Economic Studies. 53(4). 603–603. 20 indexed citations
17.
Lubrano, Michel. (1985). Some aspects of prior elicitation problems in disequilibrium models. Journal of Econometrics. 29(1-2). 165–172. 1 indexed citations
18.
Lubrano, Michel. (1985). Bayesian analysis of switching regression models. Journal of Econometrics. 29(1-2). 69–95. 4 indexed citations
19.
Lubrano, Michel & Henri Sneessens. (1984). Un modèle de production LEONTIEF-CES pour l'industrie française. 3–30. 1 indexed citations
20.
Lubrano, Michel, et al.. (1984). Emploi et Chômage en France de 1995 à 1982 : Un modèle macroéconomique annuel avec rationnement. RePEc: Research Papers in Economics. 39–75.

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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