Goran Peškir
- Finance top 0.5%
- Economics and Econometrics top 2%
- Management Science and Operations Research top 2%
- Mathematical Physics top 5%
- Statistics and Probability top 2%
- Co-authors
- Albert N. ShiryaevJacques du ToitJesper Lund PedersenPeter JohnsonH. J. EngelbertErik EkströmPavel V. GapeevJohn Moriarty
- Topics
- Stochastic processes and financial applications (58 papers)Stochastic processes and statistical mechanics (18 papers)Economic theories and models (11 papers)
- Journals
- IEEE Transactions on Smart GridThe Annals of StatisticsJournal of Mathematical Analysis and Applications
- Partner nations
- DenmarkUnited KingdomCroatia
In The Last Decade
Goran Peškir
91 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Finance 1.0k
- Economics and Econometrics 389
- Management Science and Operations Research 344
- Mathematical Physics 264
- Statistics and Probability 184
Countries citing papers authored by Goran Peškir
This map shows the geographic impact of Goran Peškir'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 Goran Peškir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Peškir more than expected).
Fields of papers citing papers by Goran Peškir
This network shows the impact of papers produced by Goran Peškir. 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 Goran Peškir. The network helps show where Goran Peškir may publish in the future.
Co-authorship network of co-authors of Goran Peškir
This figure shows the co-authorship network connecting the top 25 collaborators of Goran Peškir. A scholar is included among the top collaborators of Goran Peškir 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 Goran Peškir. Goran Peškir 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 | 1 | |
| 4 | 11 | |
| 5 | 24 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 19 | |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 36 | |
| 12 | Maximal Inequalities for Reflected Brownian Motion with Drift | 4 |
| 13 | Consistency of Statistical Models Described by Families of Reversed Submartingales | 0 |
| 14 | 26 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 8 |
About Goran Peškir
Goran Peškir is a scholar working on Finance, Mathematical Physics and Statistics and Probability, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (58 papers), Stochastic processes and statistical mechanics (18 papers) and Economic theories and models (11 papers). The work is most often cited by research in Finance (1.0k citations), Mathematical Physics (264 citations) and Management Science and Operations Research (344 citations). Goran Peškir has collaborated with scholars based in Denmark, United Kingdom and Croatia. Frequent co-authors include Albert N. Shiryaev, Jacques du Toit, Jesper Lund Pedersen, Peter Johnson, H. J. Engelbert, Erik Ekström, Pavel V. Gapeev, John Moriarty, Альберт Николаевич Ширяев and Alexander M. G. Cox. Their work appears in journals such as IEEE Transactions on Smart Grid, The Annals of Statistics and Journal of Mathematical Analysis and Applications.
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.