Elias Masry
- Statistics and Probability top 0.2%
- Finance top 1%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Dag TjøstheimJianqing FanStamatis CambanisLászló GyörfiKeh‐Shin LiiOnkar DabeerZongwu CaiJan Mielniczuk
- Topics
- Statistical Methods and Inference (18 papers)Financial Risk and Volatility Modeling (13 papers)Bayesian Methods and Mixture Models (11 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingThe Journal of the Acoustical Society of America
- Partner nations
- United StatesNorwayIndia
In The Last Decade
Elias Masry
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 87
- Statistics and Probability 1.0k
- Finance 594
- Artificial Intelligence 429
- Economics and Econometrics 289
- Control and Systems Engineering 176
Countries citing papers authored by Elias Masry
This map shows the geographic impact of Elias Masry'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 Elias Masry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elias Masry more than expected).
Fields of papers citing papers by Elias Masry
This network shows the impact of papers produced by Elias Masry. 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 Elias Masry. The network helps show where Elias Masry may publish in the future.
Co-authorship network of co-authors of Elias Masry
This figure shows the co-authorship network connecting the top 25 collaborators of Elias Masry. A scholar is included among the top collaborators of Elias Masry 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 Elias Masry. Elias Masry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 159 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 31 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 111 | |
| 9 | 3 | |
| 10 | 29 | |
| 11 | 60 | |
| 12 | 23 | |
| 13 | 54 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 48 | |
| 17 | 24 | |
| 18 | 20 | |
| 19 | 6 | |
| 20 | 8 |
About Elias Masry
Elias Masry is a scholar working on Statistics and Probability, Finance and Applied Mathematics, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (18 papers), Financial Risk and Volatility Modeling (13 papers) and Bayesian Methods and Mixture Models (11 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Finance (594 citations) and General Economics, Econometrics and Finance (170 citations). Elias Masry has collaborated with scholars based in United States, Norway and India. Frequent co-authors include Dag Tjøstheim, Jianqing Fan, Stamatis Cambanis, László Györfi, Keh‐Shin Lii, Onkar Dabeer, Zongwu Cai, Jan Mielniczuk, Ashok Swaminathan and Dharmendra S. Modha. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.
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.