László Gerencsér
Impact in
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- Probabilistic and Robust Engineering Design
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- Simulation Techniques and Applications
Papers in
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- Control Systems and Identification 21
- Fault Detection and Control Systems 11
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- Simulation Techniques and Applications 15
- Co-authors
- Håkan Hjalmarsson (8 shared papers)S.D. Hill (6 shared papers)Jonas Mårtensson (4 shared papers)Peter E. Caines (2 shared papers)Péter Gáspár (4 shared papers)Cristian R. Rojas (2 shared papers)Lorenzo Finesso (3 shared papers)István Gyöngy (1 shared paper)
In The Last Decade
László Gerencsér
78 papers receiving 619 citations
Peers
Comparison fields: 5 of 57
- Statistics, Probability and Uncertainty 109
- Management Science and Operations Research 187
- Control and Systems Engineering 319
- Finance 136
- Statistics and Probability 95
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-authors
The 20 scholars most cited alongside László Gerencsér, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 66 | |
| 2 | 2008 | 53 | |
| 3 | 1992 | 53 | |
| 4 | 2002 | 41 | |
| 5 | 1999 | 38 | |
| 6 | 1999 | 35 | |
| 7 | 2006 | 27 | |
| 8 | 2006 | 27 | |
| 9 | 1994 | 20 | |
| 10 | 1990 | 20 | |
| 11 | 1991 | 17 | |
| 12 | 2003 | 15 | |
| 13 | 1990 | 14 | |
| 14 | 1991 | 13 | |
| 15 | 2003 | 12 | |
| 16 | 2002 | 11 | |
| 17 | 2008 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 1990 | 9 | |
| 20 | 2002 | 9 |
About László Gerencsér
László Gerencsér is a scholar working on Control and Systems Engineering, Management Science and Operations Research, Finance, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 87 papers that have together received 686 indexed citations. Recurring topics across this work include Control Systems and Identification (21 papers), Stochastic processes and financial applications (17 papers), Simulation Techniques and Applications (15 papers), Financial Risk and Volatility Modeling (12 papers), Statistical Methods and Inference (11 papers), Fault Detection and Control Systems (11 papers), Advanced Statistical Process Monitoring (11 papers) and Probabilistic and Robust Engineering Design (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (109 citations), Management Science and Operations Research (187 citations), Control and Systems Engineering (319 citations), Finance (136 citations) and Statistics and Probability (95 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, Lorenzo Finesso, István Gyöngy, G. Kozmann and Lirong Huang. Their work appears in journals such as Systems & Control Letters, IEEE Transactions on Automatic Control, Automatica, SIAM Journal on Control and Optimization and Journal of Statistical Planning and Inference.
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.