Ivana Komunjer
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 1%
- Finance top 2%
- Management Science and Operations Research top 5%
- Statistics and Probability top 2%
- Co-authors
- Graham ElliottAllan TimmermannSerena NgMichael T. OwyangRaffaella GiacominiFederico EcheniqueQuang VuongPierre‐André Chiappori
- Topics
- Monetary Policy and Economic Impact (22 papers)Statistical Methods and Inference (11 papers)Financial Risk and Volatility Modeling (8 papers)
- Partner nations
- United StatesUnited KingdomDominican Republic
In The Last Decade
Ivana Komunjer
31 papers receiving 892 citations
Peers
Comparison fields: 5 of 68
- Economics and Econometrics 624
- General Economics, Econometrics and Finance 567
- Finance 368
- Management Science and Operations Research 172
- Statistics and Probability 157
Countries citing papers authored by Ivana Komunjer
This map shows the geographic impact of Ivana Komunjer'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 Ivana Komunjer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana Komunjer more than expected).
Fields of papers citing papers by Ivana Komunjer
This network shows the impact of papers produced by Ivana Komunjer. 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 Ivana Komunjer. The network helps show where Ivana Komunjer may publish in the future.
Co-authorship network of co-authors of Ivana Komunjer
This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Komunjer. A scholar is included among the top collaborators of Ivana Komunjer 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 Ivana Komunjer. Ivana Komunjer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 22 | |
| 5 | 3 | |
| 6 | 42 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | Indirect Estimation of Panel Models With Time Varying Latent Components | 1 |
| 10 | 12 | |
| 11 | 6 | |
| 12 | Existence and Uniqueness of Semiparametric Projections | 2 |
| 13 | 27 | |
| 14 | 1 | |
| 15 | What Goods Do Countries Trade? New Ricardian Predictions | 1 |
| 16 | Global Identification In Nonlinear Semiparametric Models | 1 |
| 17 | 1 | |
| 18 | 235 | |
| 19 | Estimating Loss Function Parameters | 4 |
| 20 | 5 |
About Ivana Komunjer
Ivana Komunjer is a scholar working on General Economics, Econometrics and Finance, Statistics and Probability and Finance, having authored 31 papers that have together received 931 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (22 papers), Statistical Methods and Inference (11 papers) and Financial Risk and Volatility Modeling (8 papers). The work is most often cited by research in General Economics, Econometrics and Finance (567 citations), Finance (368 citations) and Economics and Econometrics (624 citations). Ivana Komunjer has collaborated with scholars based in United States, United Kingdom and Dominican Republic. Frequent co-authors include Graham Elliott, Allan Timmermann, Serena Ng, Michael T. Owyang, Raffaella Giacomini, Federico Echenique, Quang Vuong, Pierre‐André Chiappori, Dennis Kristensen and P.-A. Chiappori. Their work appears in journals such as Econometrica, The Review of Economics and Statistics and Journal of Econometrics.
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.