Oliver Tse

620 total citations
27 papers, 305 citations indexed

About

Oliver Tse is a scholar working on Modeling and Simulation, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Oliver Tse has authored 27 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 10 papers in Applied Mathematics and 5 papers in Mathematical Physics. Recurrent topics in Oliver Tse's work include Mathematical Biology Tumor Growth (9 papers), Nonlinear Partial Differential Equations (5 papers) and Stochastic processes and statistical mechanics (4 papers). Oliver Tse is often cited by papers focused on Mathematical Biology Tumor Growth (9 papers), Nonlinear Partial Differential Equations (5 papers) and Stochastic processes and statistical mechanics (4 papers). Oliver Tse collaborates with scholars based in Netherlands, Germany and South Korea. Oliver Tse's co-authors include Claudia Totzeck, René Pinnau, S. Martin, José A. Carrillo, Young-Pil Choi, S. J. J. M. F. Kokkelmans, Norbert Siedow, Giuseppe Savaré, Riccarda Rossi and Simone Fagioli and has published in prestigious journals such as Journal of Computational Physics, Journal of Mathematical Analysis and Applications and SIAM Journal on Scientific Computing.

In The Last Decade

Oliver Tse

23 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Tse Netherlands	8	77	72	72	57	54	27	305
Leonid Koralov United States	8	34 0.4×	61 0.8×	32 0.4×	33 0.6×	122 2.3×	32	352
Claudia Totzeck Germany	6	93 1.2×	68 0.9×	59 0.8×	14 0.2×	14 0.3×	19	224
Marco Caponigro France	10	136 1.8×	171 2.4×	17 0.2×	25 0.4×	46 0.9×	27	397
S. Martin Germany	9	220 2.9×	169 2.3×	33 0.5×	28 0.5×	17 0.3×	15	427
Sui Tang United States	9	16 0.2×	84 1.2×	63 0.9×	44 0.8×	36 0.7×	28	255
Zbigniew Bartosiewicz Poland	15	45 0.6×	122 1.7×	34 0.5×	236 4.1×	23 0.4×	83	770
Chiping Zhang China	11	92 1.2×	83 1.2×	40 0.6×	8 0.1×	14 0.3×	40	369
Thai Son Doan Vietnam	15	176 2.3×	169 2.3×	31 0.4×	220 3.9×	42 0.8×	47	609
L. Miguel Rodrigues France	9	121 1.6×	69 1.0×	55 0.8×	52 0.9×	59 1.1×	33	308

Countries citing papers authored by Oliver Tse

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Tse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Tse. A scholar is included among the top collaborators of Oliver Tse 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 Oliver Tse. Oliver Tse 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

Tse, Oliver, et al.. (2025). Polytope Division Method: A Scalable Sampling Method for Problems with High-Dimensional Parameters. SIAM Journal on Scientific Computing. 47(6). B1424–B1449.

Tse, Oliver, et al.. (2025). Existence of weak solutions and long‐time asymptotics for hydrodynamic model of swarming. Journal of the London Mathematical Society. 111(2). 1 indexed citations

Tse, Oliver, et al.. (2025). Fidelity-enhanced variational quantum optimal control. Physical review. A. 111(5). 1 indexed citations

Schlichting, André, et al.. (2024). Variational convergence of the Scharfetter–Gummel scheme to the aggregation-diffusion equation and vanishing diffusion limit. Numerische Mathematik. 156(6). 2221–2292. 3 indexed citations

Tse, Oliver, et al.. (2023). Pulse based Variational Quantum Optimal Control for hybrid quantum computing. Quantum. 7. 908–908. 14 indexed citations

Tse, Oliver, et al.. (2023). Recapture probability for antitrapped Rydberg states in optical tweezers. Physical review. A. 108(2). 5 indexed citations

Tse, Oliver, et al.. (2023). Generalized gradient structures for measure-valued population dynamics and their large-population limit. Calculus of Variations and Partial Differential Equations. 62(5). 2 indexed citations

Tse, Oliver, et al.. (2023). Diffusive Limit of Random Walks on Tessellations via Generalized Gradient Flows. SIAM Journal on Mathematical Analysis. 55(4). 2948–2995. 5 indexed citations

Peletier, Mark A., Riccarda Rossi, Giuseppe Savaré, & Oliver Tse. (2022). Jump processes as generalized gradient flows. Institutional Research Information System (Università degli Studi di Brescia). 21 indexed citations

10.

Fagioli, Simone & Oliver Tse. (2022). On gradient flow and entropy solutions for nonlocal transport equations with nonlinear mobility. Nonlinear Analysis. 221. 112904–112904. 9 indexed citations

11.

Choi, Young-Pil & Oliver Tse. (2022). Quantified overdamped limit for kinetic Vlasov–Fokker–Planck equations with singular interaction forces. Journal of Differential Equations. 330. 150–207. 6 indexed citations

12.

Carrillo, José A., Young-Pil Choi, Claudia Totzeck, & Oliver Tse. (2018). An analytical framework for a consensus-based global optimization method. Oxford University Research Archive (ORA) (University of Oxford). 77 indexed citations

13.

Böck, Wolfgang, et al.. (2017). An analytic method for agent-based modeling of spatially inhomogeneous disease dynamics. AIP conference proceedings. 1871. 20008–20008. 2 indexed citations

14.

Böck, Wolfgang, et al.. (2017). Numerical simulation of agent-based modeling of spatially inhomogeneous disease dynamics. AIP conference proceedings. 1871. 20009–20009.

15.

Borsche, Raul, et al.. (2017). A Retarded Mean-Field Approach for Interacting Fiber Structures. Multiscale Modeling and Simulation. 15(3). 1130–1154. 1 indexed citations

16.

Pinnau, René, Claudia Totzeck, Oliver Tse, & S. Martin. (2016). A consensus-based model for global optimization and its mean-field limit. Mathematical Models and Methods in Applied Sciences. 27(1). 183–204. 86 indexed citations

17.

Tse, Oliver. (2014). On the effects of the Bohm potential on a macroscopic system of self-interacting particles. Journal of Mathematical Analysis and Applications. 418(2). 796–811.

18.

Klar, Axel, Florian Schneider, & Oliver Tse. (2014). Approximate models for stochastic dynamic systems with velocities on the sphere and associated Fokker--Planck equations. Kinetic and Related Models. 7(3). 509–529. 4 indexed citations

19.

Pinnau, René & Oliver Tse. (2013). Optimal control of a simplified natural convection-radiation model. Communications in Mathematical Sciences. 11(3). 679–707. 18 indexed citations

20.

Frei, Stefan, Heiko Andrä, René Pinnau, & Oliver Tse. (2013). Optimizing fiber orientation in fiber-reinforced materials using efficient upscaling. Computational Optimization and Applications. 62(1). 111–129. 6 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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