László Gerencsér

1.1k total citations
87 papers, 688 citations indexed

About

László Gerencsér is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Finance. According to data from OpenAlex, László Gerencsér has authored 87 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 23 papers in Management Science and Operations Research and 22 papers in Finance. Recurrent topics in László Gerencsér's work include Control Systems and Identification (21 papers), Stochastic processes and financial applications (17 papers) and Simulation Techniques and Applications (15 papers). László Gerencsér is often cited by papers focused on Control Systems and Identification (21 papers), Stochastic processes and financial applications (17 papers) and Simulation Techniques and Applications (15 papers). László Gerencsér collaborates with scholars based in Hungary, Canada and Sweden. László Gerencsér's 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 and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Systems & Control Letters.

In The Last Decade

László Gerencsér

78 papers receiving 620 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
László Gerencsér Hungary 14 321 188 137 136 109 87 688
Arunabha Bagchi Netherlands 12 150 0.5× 42 0.2× 125 0.9× 98 0.7× 30 0.3× 69 438
Abdelkader Mokkadem France 12 87 0.3× 66 0.4× 203 1.5× 109 0.8× 39 0.4× 37 554
Kai-ching Chu United States 10 375 1.2× 139 0.7× 184 1.3× 47 0.3× 32 0.3× 17 860
B. K. Ghosh United States 15 100 0.3× 185 1.0× 162 1.2× 45 0.3× 281 2.6× 49 892
Federico Ramponi Italy 13 282 0.9× 84 0.4× 76 0.6× 20 0.1× 65 0.6× 25 490
Shuping Chen China 9 319 1.0× 159 0.8× 38 0.3× 317 2.3× 19 0.2× 28 710
Václav Fabian United States 12 67 0.2× 280 1.5× 296 2.2× 96 0.7× 106 1.0× 37 808
Felisa J. Vázquez-Abad Canada 14 46 0.1× 173 0.9× 58 0.4× 91 0.7× 30 0.3× 57 449
D.C. Chin United States 12 282 0.9× 157 0.8× 109 0.8× 32 0.2× 43 0.4× 30 532
Marc S. Meketon United States 7 99 0.3× 299 1.6× 49 0.4× 33 0.2× 107 1.0× 11 650

Countries citing papers authored by László Gerencsér

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Gerencsér, László, et al.. (2021). Detecting Change between Urban Road Environments along a Route Based on Static Road Object Occurrences. Applied Sciences. 11(8). 3666–3666. 2 indexed citations
2.
Gerencsér, László, Balázs Csanád Csáji, & Sotirios Sabanis. (2018). Asymptotic Analysis of the LMS Algorithm with Momentum. Edinburgh Research Explorer. 3062–3067. 1 indexed citations
3.
Gerencsér, László, et al.. (2017). Detecting change in road environment via analysis of marked point processes associated with traffic signs. Transportation research procedia. 22. 75–84. 6 indexed citations
4.
Gerencsér, László, et al.. (2010). Recursive identification of continuous-time linear stochastic systems - an off-line approximation. SZTAKI Publication Repository (Hungarian Academy of Sciences). 3 indexed citations
5.
Gerencsér, László, et al.. (2010). Recursive estimation of GARCH processes. SZTAKI Publication Repository (Hungarian Academy of Sciences). 4 indexed citations
6.
Gerencsér, László, et al.. (2009). Fundamental Modelling of Financial Markets.. ERCIM news/ERCIM news online edition. 2009(1). 57–63. 2 indexed citations
7.
Gerencsér, László, et al.. (2008). Lq-stability of products of block-triangular stationary random matrices. SZTAKI Publication Repository (Hungarian Academy of Sciences). 4 indexed citations
8.
Gerencsér, László, et al.. (2008). Self-exciting point processes with applications in finance and medicine. SZTAKI Publication Repository (Hungarian Academy of Sciences). 4 indexed citations
9.
Gerencsér, László, Håkan Hjalmarsson, & Jonas Mårtensson. (2008). Identification of ARX systems with non-stationary inputs — asymptotic analysis with application to adaptive input design. Automatica. 45(3). 623–633. 53 indexed citations
10.
Gerencsér, László, et al.. (2007). An improved bound for the exponential stability of predictive filters of hidden Markov models. Communications in Information and Systems. 7(2). 133–152. 2 indexed citations
11.
Gerencsér, László, et al.. (2007). A behavioral stock market model. Mathematical Methods of Operations Research. 67(1). 43–63. 4 indexed citations
12.
Gerencsér, László, et al.. (2004). Change detection for Hidden Markov Models. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2 indexed citations
13.
Gerencsér, László, et al.. (2004). A system theoretic approach to behavioral finance. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). 4. 335–339 Vol.1.
14.
Gerencsér, László, et al.. (2003). Stochastic approximation for function minimization under quantization error. 3. 2373–2377. 2 indexed citations
15.
Finesso, Lorenzo, et al.. (2003). A randomized EM-algorithm for estimating quantized linear Gaussian regression. 5. 5100–5101. 4 indexed citations
16.
Gerencsér, László, et al.. (2003). Optimization over discrete sets via SPSA. 1. 466–470. 9 indexed citations
17.
Gerencsér, László, et al.. (1995). Performance of a minimum variance adaptive controller with noise injection. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations
18.
Gerencsér, László. (1993). Strong approximation of the recursive prediction error estimator of the parameters of an ARMA process. Systems & Control Letters. 21(4). 347–351. 8 indexed citations
19.
Caines, Peter E. & László Gerencsér. (1991). A Simple Proof for a Spectral Factorization Theorem. IMA Journal of Mathematical Control and Information. 8(1). 39–44. 1 indexed citations
20.
Gerencsér, László. (1990). On the martingale approximation of the estimation error of ARMA parameters. Systems & Control Letters. 15(5). 417–423. 20 indexed citations

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.

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