Daniel Lacker
- Finance top 2%
- Economics and Econometrics top 5%
- Mathematical Physics top 5%
- Modeling and Simulation top 2%
- Management Science and Operations Research top 5%
- Co-authors
- René CarmonaFrançois DelarueThaleia ZariphopoulouKavita RamananJiacheng ZhangMykhaylo ShkolnikovRuoyu WuJ. W. Burby
- Topics
- Stochastic processes and financial applications (13 papers)Stochastic processes and statistical mechanics (9 papers)Economic theories and models (8 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Daniel Lacker
22 papers receiving 580 citations
Peers
Comparison fields: 5 of 58
- Finance 443
- Economics and Econometrics 240
- Mathematical Physics 122
- Modeling and Simulation 107
- Management Science and Operations Research 89
Countries citing papers authored by Daniel Lacker
This map shows the geographic impact of Daniel Lacker'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 Daniel Lacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lacker more than expected).
Fields of papers citing papers by Daniel Lacker
This network shows the impact of papers produced by Daniel Lacker. 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 Daniel Lacker. The network helps show where Daniel Lacker may publish in the future.
Co-authorship network of co-authors of Daniel Lacker
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lacker. A scholar is included among the top collaborators of Daniel Lacker 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 Daniel Lacker. Daniel Lacker 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 | 10 | |
| 3 | 22 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 31 | |
| 13 | 0 | |
| 14 | 42 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 63 | |
| 18 | 83 | |
| 19 | Stochastic Differential Mean Field Game Theory | 1 |
| 20 | 83 |
About Daniel Lacker
Daniel Lacker is a scholar working on Finance, Mathematical Physics and Statistics and Probability, having authored 23 papers that have together received 612 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (13 papers), Stochastic processes and statistical mechanics (9 papers) and Economic theories and models (8 papers). The work is most often cited by research in Finance (443 citations), Modeling and Simulation (107 citations) and Mathematical Physics (122 citations). Daniel Lacker has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include René Carmona, François Delarue, Thaleia Zariphopoulou, Kavita Ramanan, Jiacheng Zhang, Mykhaylo Shkolnikov, Ruoyu Wu, J. W. Burby, Alex D. Washburne and Joe Jackson. Their work appears in journals such as PLoS Computational Biology, The Annals of Probability and Mathematics of Operations Research.
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.