Mert Demirer
- Economics and Econometrics top 1%
- Statistics and Probability top 0.5%
- Finance top 2%
- General Economics, Econometrics and Finance top 5%
- Artificial Intelligence top 10%
- Co-authors
- Denis ChetverikovWhitney K. NeweyVictor ChernozhukovChristian HansenEsther DufloJames M. RobinsKamil YılmazFrancis X. Diebold
- Topics
- Advanced Causal Inference Techniques (3 papers)Statistical Methods and Inference (3 papers)Banking stability, regulation, efficiency (3 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Mert Demirer
10 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Economics and Econometrics 846
- Statistics and Probability 597
- Finance 288
- General Economics, Econometrics and Finance 175
- Artificial Intelligence 159
Countries citing papers authored by Mert Demirer
This map shows the geographic impact of Mert Demirer'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 Mert Demirer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mert Demirer more than expected).
Fields of papers citing papers by Mert Demirer
This network shows the impact of papers produced by Mert Demirer. 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 Mert Demirer. The network helps show where Mert Demirer may publish in the future.
Co-authorship network of co-authors of Mert Demirer
This figure shows the co-authorship network connecting the top 25 collaborators of Mert Demirer. A scholar is included among the top collaborators of Mert Demirer 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 Mert Demirer. Mert Demirer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | Estimating global bank network connectednessbreakdown → | 397 |
| 10 | Double/debiased machine learning for treatment and structural parametersbreakdown → | 1191 |
| 11 | Double/Debiased/Neyman Machine Learning of Treatment Effectsbreakdown → | 190 |
| 12 | 14 |
About Mert Demirer
Mert Demirer is a scholar working on Statistics and Probability, Finance and Marketing, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Statistical Methods and Inference (3 papers) and Banking stability, regulation, efficiency (3 papers). The work is most often cited by research in Statistics and Probability (597 citations), General Energy (31 citations) and Economics and Econometrics (846 citations). Mert Demirer has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Denis Chetverikov, Whitney K. Newey, Victor Chernozhukov, Christian Hansen, Esther Duflo, James M. Robins, Kamil Yılmaz, Francis X. Diebold, Laura Liu and Laura Liu. Their work appears in journals such as American Economic Review, Econometrica and Marketing Science.
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.