Igor Cialenco
- Finance top 5%
- Economics and Econometrics
- Management Science and Operations Research top 10%
- Mathematical Physics
- Modeling and Simulation top 10%
- Co-authors
- Tomasz R. BieleckiSergey V. LototskyQi YeNathan Glatt-HoltzAris ProtopapadakisZhao ZhangHyun-Jung KimMarek Rutkowski
- Topics
- Stochastic processes and financial applications (24 papers)Credit Risk and Financial Regulations (6 papers)Risk and Portfolio Optimization (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaStochastic Processes and their ApplicationsMathematical Finance
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Igor Cialenco
29 papers receiving 264 citations
Peers
Comparison fields: 5 of 45
- Finance 194
- Economics and Econometrics 59
- Management Science and Operations Research 48
- Mathematical Physics 35
- Modeling and Simulation 31
Countries citing papers authored by Igor Cialenco
This map shows the geographic impact of Igor Cialenco'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 Igor Cialenco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Cialenco more than expected).
Fields of papers citing papers by Igor Cialenco
This network shows the impact of papers produced by Igor Cialenco. 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 Igor Cialenco. The network helps show where Igor Cialenco may publish in the future.
Co-authorship network of co-authors of Igor Cialenco
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Cialenco. A scholar is included among the top collaborators of Igor Cialenco 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 Igor Cialenco. Igor Cialenco 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 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 35 | |
| 14 | 20 | |
| 15 | 22 | |
| 16 | 10 | |
| 17 | 14 | |
| 18 | 32 | |
| 19 | 10 | |
| 20 | 3 |
About Igor Cialenco
Igor Cialenco is a scholar working on Finance, Mathematical Physics and Management Science and Operations Research, having authored 30 papers that have together received 272 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (24 papers), Credit Risk and Financial Regulations (6 papers) and Risk and Portfolio Optimization (6 papers). The work is most often cited by research in Finance (194 citations), Modeling and Simulation (31 citations) and Mathematical Physics (35 citations). Igor Cialenco has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Tomasz R. Bielecki, Sergey V. Lototsky, Qi Ye, Nathan Glatt-Holtz, Aris Protopapadakis, Zhao Zhang, Hyun-Jung Kim, Marek Rutkowski, Samuel Drapeau and Andrzej Ruszczyński. Their work appears in journals such as SHILAP Revista de lepidopterología, Stochastic Processes and their Applications and Mathematical Finance.
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.