Jasmina Arifovic
- Economics and Econometrics top 1%
- Management Science and Operations Research top 1%
- Finance top 2%
- Safety Research top 1%
- General Economics, Econometrics and Finance top 5%
- Co-authors
- John O. LedyardRamazan GençayJames B. BullardJanet Hua JiangLuba PetersenJohn DuffyMikhail AnufrievValentyn Panchenko
- Topics
- Complex Systems and Time Series Analysis (28 papers)Economic theories and models (23 papers)Experimental Behavioral Economics Studies (19 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Jasmina Arifovic
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Economics and Econometrics 857
- Management Science and Operations Research 446
- Finance 324
- Safety Research 278
- General Economics, Econometrics and Finance 238
Countries citing papers authored by Jasmina Arifovic
This map shows the geographic impact of Jasmina Arifovic'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 Jasmina Arifovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmina Arifovic more than expected).
Fields of papers citing papers by Jasmina Arifovic
This network shows the impact of papers produced by Jasmina Arifovic. 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 Jasmina Arifovic. The network helps show where Jasmina Arifovic may publish in the future.
Co-authorship network of co-authors of Jasmina Arifovic
This figure shows the co-authorship network connecting the top 25 collaborators of Jasmina Arifovic. A scholar is included among the top collaborators of Jasmina Arifovic 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 Jasmina Arifovic. Jasmina Arifovic 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 | 4 | |
| 4 | 14 | |
| 5 | 18 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 41 | |
| 9 | 31 | |
| 10 | 10 | |
| 11 | 26 | |
| 12 | 23 | |
| 13 | 42 | |
| 14 | Social vs. Individual Learning- What Makes a Difference? | 2 |
| 15 | 45 | |
| 16 | The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies | 4 |
| 17 | 15 | |
| 18 | 35 | |
| 19 | 3 | |
| 20 | 244 |
About Jasmina Arifovic
Jasmina Arifovic is a scholar working on Management Science and Operations Research, Safety Research and General Economics, Econometrics and Finance, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (28 papers), Economic theories and models (23 papers) and Experimental Behavioral Economics Studies (19 papers). The work is most often cited by research in Management Science and Operations Research (446 citations), Safety Research (278 citations) and Finance (324 citations). Jasmina Arifovic has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include John O. Ledyard, Ramazan Gençay, James B. Bullard, Janet Hua Jiang, Luba Petersen, John Duffy, Mikhail Anufriev, Valentyn Panchenko, B. Curtis Eaton and Paul R. Masson. Their work appears in journals such as Journal of Political Economy, The Economic Journal and Journal of Monetary Economics.
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.