Jevgeņijs Ivanovs
- Management Science and Operations Research top 2%
- Finance top 5%
- Management Information Systems top 5%
- Demography top 5%
- Statistics and Probability top 5%
- Co-authors
- Hansjörg AlbrecherMichel MandjesZbigniew PalmowskiOnno BoxmaXiaowen ZhouOffer KellaBernardo D’AuriaAd Feelders
- Topics
- Probability and Risk Models (29 papers)Advanced Queuing Theory Analysis (26 papers)Stochastic processes and financial applications (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiometrikaJournal of Applied Probability
- Partner nations
- SwitzerlandNetherlandsDenmark
In The Last Decade
Jevgeņijs Ivanovs
47 papers receiving 381 citations
Peers
Comparison fields: 5 of 36
- Management Science and Operations Research 283
- Finance 192
- Management Information Systems 144
- Demography 135
- Statistics and Probability 103
Countries citing papers authored by Jevgeņijs Ivanovs
This map shows the geographic impact of Jevgeņijs Ivanovs'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 Jevgeņijs Ivanovs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jevgeņijs Ivanovs more than expected).
Fields of papers citing papers by Jevgeņijs Ivanovs
This network shows the impact of papers produced by Jevgeņijs Ivanovs. 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 Jevgeņijs Ivanovs. The network helps show where Jevgeņijs Ivanovs may publish in the future.
Co-authorship network of co-authors of Jevgeņijs Ivanovs
This figure shows the co-authorship network connecting the top 25 collaborators of Jevgeņijs Ivanovs. A scholar is included among the top collaborators of Jevgeņijs Ivanovs 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 Jevgeņijs Ivanovs. Jevgeņijs Ivanovs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 48 | |
| 14 | 25 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 18 | |
| 18 | On the record process of time-reversible spectrally-negative Markov additive processes | 1 |
| 19 | Singularities of the generator of a Markov additive process with one-sided jumps | 4 |
| 20 | Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. | 4 |
About Jevgeņijs Ivanovs
Jevgeņijs Ivanovs is a scholar working on Management Information Systems, Management Science and Operations Research and Finance, having authored 47 papers that have together received 387 indexed citations. Recurring topics across this work include Probability and Risk Models (29 papers), Advanced Queuing Theory Analysis (26 papers) and Stochastic processes and financial applications (17 papers). The work is most often cited by research in Management Science and Operations Research (283 citations), Finance (192 citations) and Management Information Systems (144 citations). Jevgeņijs Ivanovs has collaborated with scholars based in Switzerland, Netherlands and Denmark. Frequent co-authors include Hansjörg Albrecher, Michel Mandjes, Zbigniew Palmowski, Onno Boxma, Xiaowen Zhou, Offer Kella, Bernardo D’Auria, Ad Feelders, Florin Avram and Mark Podolskij. Their work appears in journals such as SHILAP Revista de lepidopterología, Biometrika and Journal of Applied Probability.
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.