Stamatis Cambanis
- Finance top 1%
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 2%
- Co-authors
- Gordon SimonsSteel T. HuangE. MasryWilliam StoutAleksander WeronElias MasryClyde D. HardinA. R. Soltani
- Topics
- Stochastic processes and financial applications (20 papers)Control Systems and Identification (13 papers)Image and Signal Denoising Methods (10 papers)
- Partner nations
- United StatesSwedenIsrael
In The Last Decade
Stamatis Cambanis
84 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Finance 656
- Statistics and Probability 622
- Artificial Intelligence 321
- Economics and Econometrics 319
- Management Science and Operations Research 316
Countries citing papers authored by Stamatis Cambanis
This map shows the geographic impact of Stamatis Cambanis'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 Stamatis Cambanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stamatis Cambanis more than expected).
Fields of papers citing papers by Stamatis Cambanis
This network shows the impact of papers produced by Stamatis Cambanis. 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 Stamatis Cambanis. The network helps show where Stamatis Cambanis may publish in the future.
Co-authorship network of co-authors of Stamatis Cambanis
This figure shows the co-authorship network connecting the top 25 collaborators of Stamatis Cambanis. A scholar is included among the top collaborators of Stamatis Cambanis 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 Stamatis Cambanis. Stamatis Cambanis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | Chaotic behavior of infinitely divisible processes | 28 |
| 4 | 29 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 24 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 54 | |
| 13 | 448 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 72 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 19 | |
| 20 | 16 |
About Stamatis Cambanis
Stamatis Cambanis is a scholar working on Finance, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (20 papers), Control Systems and Identification (13 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Statistics and Probability (622 citations), Finance (656 citations) and Applied Mathematics (294 citations). Stamatis Cambanis has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Gordon Simons, Steel T. Huang, E. Masry, William Stout, Aleksander Weron, Elias Masry, Clyde D. Hardin, A. R. Soltani, Neil L. Gerr and Gennady Samorodnitsky. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Information Sciences.
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.