Nikolay Iskrev
- General Economics, Econometrics and Finance top 5%
- Economics and Econometrics top 5%
- Finance top 10%
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Topics
- Monetary Policy and Economic Impact (11 papers)Economic theories and models (5 papers)Market Dynamics and Volatility (3 papers)
- Partner nations
- PortugalUnited StatesGermany
In The Last Decade
Nikolay Iskrev
11 papers receiving 240 citations
Peers
Comparison fields: 5 of 26
- General Economics, Econometrics and Finance 224
- Economics and Econometrics 197
- Finance 56
- Renewable Energy, Sustainability and the Environment 17
- Electrical and Electronic Engineering 14
Countries citing papers authored by Nikolay Iskrev
This map shows the geographic impact of Nikolay Iskrev'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 Nikolay Iskrev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay Iskrev more than expected).
Fields of papers citing papers by Nikolay Iskrev
This network shows the impact of papers produced by Nikolay Iskrev. 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 Nikolay Iskrev. The network helps show where Nikolay Iskrev may publish in the future.
Co-authorship network of co-authors of Nikolay Iskrev
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Iskrev. A scholar is included among the top collaborators of Nikolay Iskrev 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 Nikolay Iskrev. Nikolay Iskrev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Euro area inflation expectations during the COVID-19 pandemic | 1 |
| 2 | Inflation expectations in the Survey of Professional Forecasters: An exploratory analysis | 1 |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | Term premia dynamics in the US and Euro Area: who is leading whom? | 3 |
| 7 | 8 | |
| 8 | Business cycle accounting for Portugal | 2 |
| 9 | PARAMETER IDENTIFICATION IN DYNAMIC ECONOMIC MODELS | 1 |
| 10 | 182 | |
| 11 | How much do we learn from the estimation of DSGE models? A case study of identication issues in a New Keynesian business cycle model | 23 |
| 12 | 22 |
About Nikolay Iskrev
Nikolay Iskrev is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 12 papers that have together received 258 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (11 papers), Economic theories and models (5 papers) and Market Dynamics and Volatility (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (224 citations), Economics and Econometrics (197 citations) and Finance (56 citations). Nikolay Iskrev has collaborated with scholars based in Portugal, United States and Germany. Frequent co-authors include Caterina Mendicino, Kevin J. Lansing, Paolo Gelain and Sandra Gomes. Their work appears in journals such as Journal of Monetary Economics, European Economic Review and Economics Letters.
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.