Lukas Gonon

727 total citations
23 papers, 336 citations indexed

About

Lukas Gonon is a scholar working on Finance, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Lukas Gonon has authored 23 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Finance, 10 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Lukas Gonon's work include Stochastic processes and financial applications (10 papers), Neural Networks and Applications (6 papers) and Model Reduction and Neural Networks (5 papers). Lukas Gonon is often cited by papers focused on Stochastic processes and financial applications (10 papers), Neural Networks and Applications (6 papers) and Model Reduction and Neural Networks (5 papers). Lukas Gonon collaborates with scholars based in Switzerland, United Kingdom and Germany. Lukas Gonon's co-authors include Hans Buehler, Ben Wood, Josef Teichmann, Lyudmila Grigoryeva, Juan‐Pablo Ortega, Christoph Schwab, Amanda Prorok, Alcherio Martinoli, Arnulf Jentzen and Philipp Grohs and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Physica D Nonlinear Phenomena.

In The Last Decade

Lukas Gonon

19 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukas Gonon Switzerland	8	144	112	110	69	67	23	336
Nadia Oudjane France	9	83 0.6×	153 1.4×	30 0.3×	21 0.3×	79 1.2×	30	363
Denis Belomestny Germany	12	334 2.3×	53 0.5×	130 1.2×	74 1.1×	11 0.2×	79	510
Côme Huré France	6	112 0.8×	40 0.4×	55 0.5×	19 0.3×	23 0.3×	6	229
Ariel Neufeld Singapore	6	136 0.9×	31 0.3×	64 0.6×	52 0.8×	9 0.1×	29	236
Łukasz Stettner Poland	14	252 1.8×	47 0.4×	107 1.0×	125 1.8×	9 0.1×	72	487
Yuan‐Hua Ni China	11	232 1.6×	37 0.3×	112 1.0×	94 1.4×	36 0.5×	28	592
Clark Kimberling United States	8	79 0.5×	58 0.5×	38 0.3×	26 0.4×	106 1.6×	110	509
Ling-Xiao Cui China	8	105 0.7×	64 0.6×	279 2.5×	117 1.7×	134 2.0×	14	448
Naci Saldı Türkiye	10	82 0.6×	46 0.4×	64 0.6×	57 0.8×	19 0.3×	32	202
Michael A. Kouritzin Canada	11	101 0.7×	114 1.0×	29 0.3×	19 0.3×	8 0.1×	57	296

Countries citing papers authored by Lukas Gonon

Since Specialization

Citations

This map shows the geographic impact of Lukas Gonon'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 Lukas Gonon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Gonon more than expected).

Fields of papers citing papers by Lukas Gonon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Gonon. 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 Lukas Gonon. The network helps show where Lukas Gonon may publish in the future.

Co-authorship network of co-authors of Lukas Gonon

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Gonon. A scholar is included among the top collaborators of Lukas Gonon 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 Lukas Gonon. Lukas Gonon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gonon, Lukas, Lyudmila Grigoryeva, & Juan‐Pablo Ortega. (2025). Reservoir Kernels and Volterra Series. IEEE Transactions on Neural Networks and Learning Systems. PP. 1–12.

Gonon, Lukas & Antoine Jacquier. (2025). Universal Approximation Theorem and Error Bounds for Quantum Neural Networks and Quantum Reservoirs. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 11355–11368.

Biagini, Francesca, et al.. (2024). Detecting asset price bubbles using deep learning. Mathematical Finance. 35(1). 74–110. 2 indexed citations

Beck, Christian, Lukas Gonon, & Arnulf Jentzen. (2024). Overcoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equations. Partial Differential Equations and Applications. 5(6). 31–31. 4 indexed citations

Gonon, Lukas, Lyudmila Grigoryeva, & Juan‐Pablo Ortega. (2024). Infinite-dimensional reservoir computing. Neural Networks. 179. 106486–106486. 3 indexed citations

Biagini, Francesca, et al.. (2024). Approximation Rates for Deep Calibration of (Rough) Stochastic Volatility Models. SIAM Journal on Financial Mathematics. 15(3). 734–784. 1 indexed citations

Gonon, Lukas. (2024). Deep neural network expressivity for optimal stopping problems. Finance and Stochastics. 28(3). 865–910. 1 indexed citations

Gonon, Lukas, et al.. (2024). Fast Deep Hedging with Second-Order Optimization. 319–327.

Gonon, Lukas, Lyudmila Grigoryeva, & Juan‐Pablo Ortega. (2023). Approximation bounds for random neural networks and reservoir systems. The Annals of Applied Probability. 33(1). 27 indexed citations

10.

Gonon, Lukas & Christoph Schwab. (2022). Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations. Analysis and Applications. 21(1). 1–47. 21 indexed citations

11.

Gonon, Lukas & Christoph Schwab. (2021). Deep ReLU Neural Network Approximation for Stochastic Differential Equations with Jumps.. arXiv (Cornell University). 5 indexed citations

12.

Gonon, Lukas, et al.. (2021). Uniform error estimates for artificial neural network approximations for heat equations. IMA Journal of Numerical Analysis. 42(3). 1991–2054. 20 indexed citations

13.

Cuchiero, Christa, Lukas Gonon, Lyudmila Grigoryeva, Juan‐Pablo Ortega, & Josef Teichmann. (2021). Expressive Power of Randomized Signature. Alexandria (UniSG) (University of St.Gallen). 4 indexed citations

14.

Gonon, Lukas, Lyudmila Grigoryeva, & Juan‐Pablo Ortega. (2020). Risk Bounds for Reservoir Computing. Alexandria (UniSG) (University of St.Gallen). 21(240). 1–61. 3 indexed citations

15.

Beck, Christian, Lukas Gonon, Martin Hutzenthaler, & Arnulf Jentzen. (2020). On existence and uniqueness properties for solutions of stochastic fixed point equations. Discrete and Continuous Dynamical Systems - B. 26(9). 4927–4962. 3 indexed citations

16.

Gonon, Lukas, Lyudmila Grigoryeva, & Juan‐Pablo Ortega. (2020). Memory and forecasting capacities of nonlinear recurrent networks. Physica D Nonlinear Phenomena. 414. 132721–132721. 15 indexed citations

17.

Buehler, Hans, et al.. (2019). Deep Hedging: Hedging Derivatives Under Generic Market Frictions Using Reinforcement Learning. SSRN Electronic Journal. 27 indexed citations

18.

Buehler, Hans, Lukas Gonon, Josef Teichmann, & Ben Wood. (2019). Deep hedging. Quantitative Finance. 19(8). 1271–1291. 148 indexed citations

19.

Buehler, Hans, Lukas Gonon, Josef Teichmann, & Ben Wood. (2018). Deep Hedging. SSRN Electronic Journal. 12 indexed citations

20.

Döring, Leif, et al.. (2017). On Skorokhod embeddings and Poisson equations. Oxford University Research Archive (ORA) (University of Oxford). 2 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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