Craig A. Friedman
- Finance top 5%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Statistics and Probability top 10%
- Accounting
- Topics
- Credit Risk and Financial Regulations (13 papers)Financial Risk and Volatility Modeling (10 papers)Risk and Portfolio Optimization (8 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Craig A. Friedman
19 papers receiving 196 citations
Peers
Comparison fields: 5 of 40
- Finance 217
- Economics and Econometrics 71
- Management Science and Operations Research 60
- Statistics and Probability 33
- Accounting 30
Countries citing papers authored by Craig A. Friedman
This map shows the geographic impact of Craig A. Friedman'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 Craig A. Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig A. Friedman more than expected).
Fields of papers citing papers by Craig A. Friedman
This network shows the impact of papers produced by Craig A. Friedman. 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 Craig A. Friedman. The network helps show where Craig A. Friedman may publish in the future.
Co-authorship network of co-authors of Craig A. Friedman
This figure shows the co-authorship network connecting the top 25 collaborators of Craig A. Friedman. A scholar is included among the top collaborators of Craig A. Friedman 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 Craig A. Friedman. Craig A. Friedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | Estimating Univariate Distributions Via Relative Entropy Minimization: Case Studies on Financial and Economic Data | 1 |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | Utility Functions that Lead to the Likelihood Ratio as a Relative Model Performance Measure | 1 |
| 12 | Estimating Conditional Probability Distributions of Recovery Rates: A Utility-Based Approach | 7 |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | Learning Probabilistic Models: An Expected Utility Maximization Approach | 8 |
| 18 | Confronting Model Misspecification in Finance: Tractable Collections of Scenario Probability Measures for Robust Financial Optimization Problems | 1 |
| 19 | 5 | |
| 20 | 146 |
About Craig A. Friedman
Craig A. Friedman is a scholar working on Finance, Management Science and Operations Research and Statistics and Probability, having authored 38 papers that have together received 277 indexed citations. Recurring topics across this work include Credit Risk and Financial Regulations (13 papers), Financial Risk and Volatility Modeling (10 papers) and Risk and Portfolio Optimization (8 papers). The work is most often cited by research in Finance (217 citations), Management Science and Operations Research (60 citations) and Statistics and Probability (33 citations). Craig A. Friedman has collaborated with scholars based in United States and Russia. Frequent co-authors include Marco Avellaneda, Richard B. Holmes, Sven Sandow, Jinggang Huang, Wenbo Cao and Yangyong Zhang. Their work appears in journals such as Journal of Banking & Finance, Journal of Machine Learning Research and Entropy.
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.