Katja Ignatieva
- Finance top 5%
- Economics and Econometrics top 5%
- Demography top 5%
- Management Science and Operations Research top 10%
- Electrical and Electronic Engineering
- Co-authors
- Stefan TrückJonathan ZiveyiJosé Da FonsecaZinoviy LandsmanMichael SherrisJ. Huston McCullochDavid R. GallagherEckhard Platen
- Topics
- Stochastic processes and financial applications (21 papers)Financial Risk and Volatility Modeling (20 papers)Market Dynamics and Volatility (14 papers)
- Cited by
- FinanceDemographyGeneral Energy
- Partner nations
- AustraliaUnited StatesIsrael
In The Last Decade
Katja Ignatieva
43 papers receiving 382 citations
Peers
Comparison fields: 5 of 42
- Finance 215
- Economics and Econometrics 202
- Demography 126
- Management Science and Operations Research 79
- Electrical and Electronic Engineering 75
Countries citing papers authored by Katja Ignatieva
This map shows the geographic impact of Katja Ignatieva'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 Katja Ignatieva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Ignatieva more than expected).
Fields of papers citing papers by Katja Ignatieva
This network shows the impact of papers produced by Katja Ignatieva. 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 Katja Ignatieva. The network helps show where Katja Ignatieva may publish in the future.
Co-authorship network of co-authors of Katja Ignatieva
This figure shows the co-authorship network connecting the top 25 collaborators of Katja Ignatieva. A scholar is included among the top collaborators of Katja Ignatieva 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 Katja Ignatieva. Katja Ignatieva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | Modelling spot price dependence in Australian electricity markets with applications to risk management | 1 |
| 20 | 9 |
About Katja Ignatieva
Katja Ignatieva is a scholar working on Finance, General Economics, Econometrics and Finance and Demography, having authored 48 papers that have together received 402 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Financial Risk and Volatility Modeling (20 papers) and Market Dynamics and Volatility (14 papers). The work is most often cited by research in Finance (215 citations), Demography (126 citations) and General Energy (10 citations). Katja Ignatieva has collaborated with scholars based in Australia, United States and Israel. Frequent co-authors include Stefan Trück, Jonathan Ziveyi, José Da Fonseca, Zinoviy Landsman, Michael Sherris, J. Huston McCulloch, David R. Gallagher, Eckhard Platen, Paulo M.M. Rodrigues and Natalia Ponomareva. Their work appears in journals such as Journal of Banking & Finance, Energy Economics and Journal of Business and Economic Statistics.
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.