Wim Moesen

837 total citations
19 papers, 505 citations indexed

About

Wim Moesen is a scholar working on Economics and Econometrics, Political Science and International Relations and Management Science and Operations Research. According to data from OpenAlex, Wim Moesen has authored 19 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 8 papers in Political Science and International Relations and 8 papers in Management Science and Operations Research. Recurrent topics in Wim Moesen's work include Fiscal Policy and Economic Growth (9 papers), Efficiency Analysis Using DEA (7 papers) and Local Government Finance and Decentralization (6 papers). Wim Moesen is often cited by papers focused on Fiscal Policy and Economic Growth (9 papers), Efficiency Analysis Using DEA (7 papers) and Local Government Finance and Decentralization (6 papers). Wim Moesen collaborates with scholars based in Belgium, Germany and United States. Wim Moesen's co-authors include Kristof De Witte, Benny Geys, Paul De Grauwe, Laurens Cherchye, Tom Van Puyenbroeck, Harry P. Bowen, Philippe Van Cauwenberge, Nicky Rogge, Stefano Tarantola and Roman Liška and has published in prestigious journals such as Public Choice, Corporate Governance and JCMS Journal of Common Market Studies.

In The Last Decade

Wim Moesen

19 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Moesen Belgium 12 351 148 128 70 46 19 505
Melville McMillan Canada 11 458 1.3× 198 1.3× 112 0.9× 27 0.4× 24 0.5× 43 654
María Teresa Balaguer-Coll Spain 13 607 1.7× 214 1.4× 398 3.1× 37 0.5× 42 0.9× 20 733
Timo Välilä Luxembourg 12 354 1.0× 92 0.6× 156 1.2× 47 0.7× 260 5.7× 26 562
Yoshitsugu Kanemoto Japan 15 636 1.8× 44 0.3× 75 0.6× 51 0.7× 40 0.9× 37 804
Mandar Oak Australia 8 249 0.7× 48 0.3× 100 0.8× 21 0.3× 41 0.9× 32 350
José E. Boscá Spain 13 463 1.3× 95 0.6× 50 0.4× 63 0.9× 19 0.4× 51 558
Jun‐ichi Itaya Japan 12 440 1.3× 36 0.2× 77 0.6× 19 0.3× 12 0.3× 40 506
Julián Ramajo Hernández Spain 14 562 1.6× 34 0.2× 149 1.2× 21 0.3× 31 0.7× 59 641
Ákos Valentinyi United Kingdom 10 705 2.0× 80 0.5× 59 0.5× 40 0.6× 41 0.9× 40 860
Camilla Mastromarco Italy 12 329 0.9× 117 0.8× 32 0.3× 24 0.3× 67 1.5× 27 413

Countries citing papers authored by Wim Moesen

Since Specialization
Citations

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

Fields of papers citing papers by Wim Moesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Moesen

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

All Works

19 of 19 papers shown
1.
D’Inverno, Giovanna, Wim Moesen, & Kristof De Witte. (2020). Local government size and service level provision. Evidence from conditional non-parametric analysis. Socio-Economic Planning Sciences. 81. 100917–100917. 15 indexed citations
2.
Bowen, Harry P. & Wim Moesen. (2011). Composite competitiveness indicators with endogenous versus predetermined weights. Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness. 21(2). 129–151. 14 indexed citations
3.
Moesen, Wim, et al.. (2011). The European Union at a Crossroads: An Action Plan. European View. 10(2). 261–263. 3 indexed citations
4.
Grauwe, Paul De & Wim Moesen. (2009). Gains for All: A proposal for a common Eurobond. Intereconomics. 33(3). 132–141. 65 indexed citations
5.
Geys, Benny & Wim Moesen. (2009). Measuring Local Government Technical (In)Efficiency. Public Performance & Management Review. 32(4). 499–513. 57 indexed citations
6.
Grauwe, Paul De & Wim Moesen. (2009). Gains for All: A proposal for a common Eurobond. CEPS Commentaries, 3 April 2009. 8 indexed citations
7.
Cherchye, Laurens, Wim Moesen, Nicky Rogge, & Tom Van Puyenbroeck. (2009). Constructing a Knowledge Economy Composite Indicator with Imprecise Data. SSRN Electronic Journal. 6 indexed citations
8.
Geys, Benny & Wim Moesen. (2009). Exploring Sources of Local Government Technical Inefficiency: Evidence from Flemish Municipalities*. Public Finance and Management. 9(1). 1–29. 41 indexed citations
9.
Witte, Kristof De & Wim Moesen. (2009). Sizing the government. Public Choice. 145(1-2). 39–55. 99 indexed citations
10.
Bowen, Harry P. & Wim Moesen. (2007). Benchmarking the performance of nations: non‐uniform weighting and non‐economic dimensions. Corporate Governance. 7(1). 6–16. 12 indexed citations
11.
Bowen, Harry P., Wim Moesen, & Leo Sleuwaegen. (2006). A COMPOSITE INDEX OF THE CREATIVE ECONOMY With Application to Regional Best Practices. Lirias (KU Leuven). 375–397. 7 indexed citations
12.
Rogge, Nicky, Laurens Cherchye, Wim Moesen, & Tom Van Puyenbroeck. (2006). 'Benefit of the doubt' composite indicators. Lirias (KU Leuven). 4 indexed citations
13.
Cherchye, Laurens, Wim Moesen, Nicky Rogge, et al.. (2006). Creating Composite Indicators with DEA and Robustness Analysis: The Case of the Technology Achievement Index. SSRN Electronic Journal. 71 indexed citations
14.
Cherchye, Laurens, C. A. Knox Lovell, Wim Moesen, & Tom Van Puyenbroeck. (2005). One Market, One Number? A Composite Indicator Assessment of EU Internal Market Dynamics. SSRN Electronic Journal. 21 indexed citations
15.
Cherchye, Laurens, Wim Moesen, & Tom Van Puyenbroeck. (2004). Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU*. JCMS Journal of Common Market Studies. 42(5). 919–955. 23 indexed citations
16.
Moesen, Wim & Philippe Van Cauwenberge. (2000). The Status of the Budget Constraint, Federalism and the Relative Size of Government: A Bureaucracy Approach. Public Choice. 104(3-4). 207–224. 29 indexed citations
17.
Borger, Bruno De, Kristiaan Kerstens, Wim Moesen, & Jacques Vanneste. (1994). A non-parametric Free Disposal Hull (FDH) approach to technical efficiency: an illustration of radial and graph efficiency measures and some sensitivity results. Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics. 130. 647–667. 23 indexed citations
18.
Moesen, Wim. (1994). The need for performance auditing in the public sector and the best-practice frontier. European Journal of Law and Economics. 1(4). 263–274. 5 indexed citations
19.
Borger, Bruno De, Kristiaan Kerstens, Wim Moesen, & Jacques Vanneste. (1990). Efficiency and equity in block grant design: Simulating some alternatives for Flemish municipalities. Brussels economic review. 128. 399–421. 2 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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