Vincent Labhard

563 citations
21 papers · 311 · h-index 9

Impact in

Papers in

Vincent Labhard

21 papers receiving 282 citations

Peers

Vincent Labhard
Comparison fields: 5 of 50
  • General Economics, Econometrics and Finance 206
  • Finance 90
  • Economics and Econometrics 197
  • Management Science and Operations Research 87
  • Statistics and Probability 19
Replace Aubrey Poon with:
Aubrey Poon United Kingdom
Wagner Piazza Gaglianone Brazil
Guilherme V. Moura Brazil
Dalibor Stevanović Canada
Jin-Lung Lin Taiwan
Anne Péguin-Feissolle France
Hahn S. Lee United States
Eric Eisenstat Australia
Jeremy J. Nalewaik United States
Christophe Planas Italy
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Citations per year

Countries citing papers authored by Vincent Labhard

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Labhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Vincent Labhard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vincent Labhard Line = papers co-authored together Vincent Labhard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200856
2 200750
3 200633
4 201133
5 200930
6 200524
7 200714
8
The New EMS: Narrow Bands inside Deep Bands
199613
9 200511
10 20247
11 20227
12 20226
13 20066
14 20206
15 20243
16 20223
17 20143
18 20032
19
Conditional Model Confidence Sets with an Application to Forecasting Models
20052
20 20251

About Vincent Labhard

Vincent Labhard is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Management Science and Operations Research and Information Systems, having authored 21 papers that have together received 311 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (12 papers), Global Financial Crisis and Policies (3 papers), Economic Growth and Development (3 papers), Forecasting Techniques and Applications (3 papers), Economic Growth and Productivity (3 papers), Economic, financial, and policy analysis (3 papers), Market Dynamics and Volatility (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (206 citations), Finance (90 citations), Economics and Econometrics (197 citations), Management Science and Operations Research (87 citations) and Statistics and Probability (19 citations). Vincent Labhard has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include George Kapetanios, Simon Price, Giovanni Caggiano, Charles Wyplosz, Gabriel Sterne, Chris Young, Robert Anderton, Jan De Mulder, Nuno Lourenço and Christoph Schleicher. Their work appears in journals such as Journal of Business and Economic Statistics, American Economic Review, Economic Modelling, Economics Letters and Journal of Forecasting.

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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