László Gerencsér
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Finance top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Håkan HjalmarssonS.D. HillJonas MårtenssonPeter E. CainesPéter GáspárCristian R. RojasIstván GyöngyLorenzo Finesso
- Topics
- Control Systems and Identification (21 papers)Stochastic processes and financial applications (17 papers)Simulation Techniques and Applications (15 papers)
In The Last Decade
László Gerencsér
78 papers receiving 620 citations
Peers
Comparison fields: 5 of 56
- Control and Systems Engineering 321
- Management Science and Operations Research 188
- Artificial Intelligence 137
- Finance 136
- Statistics, Probability and Uncertainty 109
Countries citing papers authored by László Gerencsér
This map shows the geographic impact of László Gerencsér'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 László Gerencsér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Gerencsér more than expected).
Fields of papers citing papers by László Gerencsér
This network shows the impact of papers produced by László Gerencsér. 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 László Gerencsér. The network helps show where László Gerencsér may publish in the future.
Co-authorship network of co-authors of László Gerencsér
This figure shows the co-authorship network connecting the top 25 collaborators of László Gerencsér. A scholar is included among the top collaborators of László Gerencsér 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 László Gerencsér. László Gerencsér 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 | 6 | |
| 4 | Recursive identification of continuous-time linear stochastic systems - an off-line approximation | 3 |
| 5 | Recursive estimation of GARCH processes | 4 |
| 6 | 2 | |
| 7 | Lq-stability of products of block-triangular stationary random matrices | 4 |
| 8 | Self-exciting point processes with applications in finance and medicine | 4 |
| 9 | 53 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | Change detection for Hidden Markov Models | 2 |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | Performance of a minimum variance adaptive controller with noise injection | 1 |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 20 |
About László Gerencsér
László Gerencsér is a scholar working on Statistics, Probability and Uncertainty, Finance and Statistics and Probability, having authored 87 papers that have together received 688 indexed citations. Recurring topics across this work include Control Systems and Identification (21 papers), Stochastic processes and financial applications (17 papers) and Simulation Techniques and Applications (15 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (109 citations), Management Science and Operations Research (188 citations) and Control and Systems Engineering (321 citations). László Gerencsér has collaborated with scholars based in Hungary, Canada and Sweden. Frequent co-authors include Håkan Hjalmarsson, S.D. Hill, Jonas Mårtensson, Peter E. Caines, Péter Gáspár, Cristian R. Rojas, István Gyöngy, Lorenzo Finesso, G. Kozmann and Gábor Tusnády. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Systems & Control 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.