Diègo Legros

976 total citations
29 papers, 689 citations indexed

About

Diègo Legros is a scholar working on Economics and Econometrics, Political Science and International Relations and Strategy and Management. According to data from OpenAlex, Diègo Legros has authored 29 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 3 papers in Political Science and International Relations and 2 papers in Strategy and Management. Recurrent topics in Diègo Legros's work include Spatial and Panel Data Analysis (19 papers), Housing Market and Economics (15 papers) and Regional Economics and Spatial Analysis (11 papers). Diègo Legros is often cited by papers focused on Spatial and Panel Data Analysis (19 papers), Housing Market and Economics (15 papers) and Regional Economics and Spatial Analysis (11 papers). Diègo Legros collaborates with scholars based in France, Canada and United Kingdom. Diègo Legros's co-authors include Jean Dubé, François Des Rosiers, Marius Thériault, Émilie-Pauline Gallié, Joyce Dargay, Catherine Baumont, Julie Le Gallo, Fabrice Galia, Robert Collet and Rachel Guillain and has published in prestigious journals such as Transportation Research Part B Methodological, Transportation Research Part A Policy and Practice and Transportation Research Part E Logistics and Transportation Review.

In The Last Decade

Diègo Legros

27 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diègo Legros France 13 550 160 75 52 38 29 689
Tie‐Ying Liu China 12 446 0.8× 88 0.6× 87 1.2× 60 1.2× 121 3.2× 32 652
Radosław Trojanek Poland 14 450 0.8× 59 0.4× 65 0.9× 46 0.9× 50 1.3× 59 618
Fernando Sanz Spain 14 450 0.8× 106 0.7× 87 1.2× 65 1.3× 120 3.2× 54 695
Olivier Parent United States 11 479 0.9× 93 0.6× 60 0.8× 40 0.8× 21 0.6× 24 569
Michał Gluszak Poland 14 374 0.7× 63 0.4× 79 1.1× 43 0.8× 47 1.2× 59 609
Mateusz Tomal Poland 14 372 0.7× 45 0.3× 81 1.1× 58 1.1× 25 0.7× 37 511
Euijune Kim South Korea 14 420 0.8× 172 1.1× 48 0.6× 70 1.3× 80 2.1× 79 673
Fernando Rubiera Morollón Spain 14 335 0.6× 84 0.5× 148 2.0× 89 1.7× 37 1.0× 80 626
Janet E. Kohlhase United States 12 678 1.2× 120 0.8× 56 0.7× 185 3.6× 92 2.4× 22 873
Nannan Yu China 11 420 0.8× 224 1.4× 74 1.0× 45 0.9× 134 3.5× 21 681

Countries citing papers authored by Diègo Legros

Since Specialization
Citations

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

Fields of papers citing papers by Diègo Legros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diègo Legros

This figure shows the co-authorship network connecting the top 25 collaborators of Diègo Legros. A scholar is included among the top collaborators of Diègo Legros 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 Diègo Legros. Diègo Legros 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.
Dubé, Jean, et al.. (2024). Standing strong? The causal impact of metro stations on service firms’ survival. Transportation Research Part A Policy and Practice. 181. 103994–103994. 2 indexed citations
2.
Dubé, Jean, et al.. (2024). An integrated causal framework to evaluate uplift value with an example on change in public transport supply. Transportation Research Part E Logistics and Transportation Review. 185. 103500–103500. 8 indexed citations
3.
Dubé, Jean, et al.. (2019). Mass appraisal without statistical estimation: a simplified comparable sales approach based on a spatiotemporal matrix. The Annals of Regional Science. 64(2). 349–365. 8 indexed citations
4.
Dubé, Jean, et al.. (2018). From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation effect. Transportation Research Part A Policy and Practice. 110. 73–87. 27 indexed citations
5.
Dubé, Jean, Diègo Legros, Marius Thériault, & François Des Rosiers. (2017). Measuring and Interpreting Urban Externalities in Real-Estate Data: A Spatio-Temporal Difference-in-Differences (STDID) Estimator. Buildings. 7(2). 51–51. 20 indexed citations
6.
Collet, Robert & Diègo Legros. (2016). Dynamics of female labour force participation in France. Applied Economics. 48(30). 2807–2821. 3 indexed citations
7.
Dubé, Jean & Diègo Legros. (2015). Modeling Spatial Data Pooled over Time: Schematic Representation and Monte Carlo Evidences. Theoretical Economics Letters. 5(1). 132–154. 4 indexed citations
8.
Guillain, Rachel, et al.. (2015). L'analyse de la criminalité à Chicago : de nouvelles perspectives offertes par l'économétrie spatiale à une question ancienne. Revue d’Économie Régionale & Urbaine. mai(1). 251–272.
9.
Dubé, Jean & Diègo Legros. (2014). Spatial econometrics and the hedonic pricing model: what about the temporal dimension?. Journal of Property Research. 31(4). 333–359. 52 indexed citations
10.
Dubé, Jean & Diègo Legros. (2014). Spatial Econometrics and Spatial Data Pooled over Time: Towards an Adapted Modeling Approach. Journal of Real Estate Literature. 22(1). 103–125. 4 indexed citations
11.
Legros, Diègo & Jean Dubé. (2014). Spatial Econometrics using Microdata. 16 indexed citations
12.
Dubé, Jean & Diègo Legros. (2014). Spatial Econometrics Using Microdata. 39 indexed citations
13.
Baumont, Catherine & Diègo Legros. (2013). Nature et impacts des effets spatiaux sur les valeurs immobilières. Revue économique. Vol. 64(5). 911–950. 8 indexed citations
14.
Dubé, Jean & Diègo Legros. (2012). Dealing with spatial data pooled over time in statistical models. Letters in Spatial and Resource Sciences. 6(1). 1–18. 35 indexed citations
15.
Dubé, Jean, Catherine Baumont, & Diègo Legros. (2011). Utilisation des matrices de pondérations en économétrie spatiale. Proposition dans un contexte spatio-temporel. RePEc: Research Papers in Economics. 1 indexed citations
16.
Gallié, Émilie-Pauline & Diègo Legros. (2011). Firms’ human capital, R&D and innovation: a study on French firms. Empirical Economics. 43(2). 581–596. 60 indexed citations
17.
Dubé, Jean & Diègo Legros. (2011). A spatio‐temporal measure of spatial dependence: An example using real estate data. Papers of the Regional Science Association. 92(1). 19–31. 61 indexed citations
18.
Legros, Diègo, et al.. (2009). INTERREGIONAL R&D SPILLOVERS IN EUROPE. RePEc: Research Papers in Economics. 30. 101–118. 2 indexed citations
19.
Gallié, Émilie-Pauline & Diègo Legros. (2007). HOW DO SPATIAL SPILLOVERS DIFFUSE IN SCIENCE–INDUSTRY INTERACTIONS? THE CASE OF FRENCH BIOTECH SECTOR. Economics of Innovation and New Technology. 16(8). 635–652. 2 indexed citations
20.
Galia, Fabrice & Diègo Legros. (2004). Research and Development, Innovation, Training, Quality and Profitability: Evidence from France. SSRN Electronic Journal. 3 indexed citations

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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