Pierre-Olivier Weill
- Economics and Econometrics top 1%
- Finance top 1%
- Accounting top 5%
- General Economics, Econometrics and Finance top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Dimitri VayanosStijn Van NieuwerburghGuillaume RocheteauAndrea L. EisfeldtAndrew AtkesonYiting LiBruno BiaisJulien Hugonnier
- Topics
- Economic theories and models (30 papers)Financial Markets and Investment Strategies (20 papers)Banking stability, regulation, efficiency (19 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Pierre-Olivier Weill
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 33
- Economics and Econometrics 830
- Finance 730
- Accounting 244
- General Economics, Econometrics and Finance 208
- Management Science and Operations Research 107
Countries citing papers authored by Pierre-Olivier Weill
This map shows the geographic impact of Pierre-Olivier Weill'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 Pierre-Olivier Weill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-Olivier Weill more than expected).
Fields of papers citing papers by Pierre-Olivier Weill
This network shows the impact of papers produced by Pierre-Olivier Weill. 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 Pierre-Olivier Weill. The network helps show where Pierre-Olivier Weill may publish in the future.
Co-authorship network of co-authors of Pierre-Olivier Weill
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-Olivier Weill. A scholar is included among the top collaborators of Pierre-Olivier Weill 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 Pierre-Olivier Weill. Pierre-Olivier Weill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 34 | |
| 7 | An Heterogeneous-Agent New-Monetarist Model with an Application to Unemployment | 1 |
| 8 | 5 | |
| 9 | 1 | |
| 10 | Long-Run and Short-Run Effects of Money Injections | 3 |
| 11 | 49 | |
| 12 | 81 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 24 | |
| 20 | 33 |
About Pierre-Olivier Weill
Pierre-Olivier Weill is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Economic theories and models (30 papers), Financial Markets and Investment Strategies (20 papers) and Banking stability, regulation, efficiency (19 papers). The work is most often cited by research in Finance (730 citations), Economics and Econometrics (830 citations) and General Economics, Econometrics and Finance (208 citations). Pierre-Olivier Weill has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Dimitri Vayanos, Stijn Van Nieuwerburgh, Guillaume Rocheteau, Andrea L. Eisfeldt, Andrew Atkeson, Yiting Li, Bruno Biais, Julien Hugonnier, Benjamin Lester and Johan Hombert. Their work appears in journals such as The Journal of Finance, American Economic Review and Econometrica.
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.