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Citation Profile [Updated: 2026-07-12 11:58:33]
5 Years H Index
4
Impact Factor (IF)
0
5 Years IF
0.01
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
2020 0 0.63 0 0 49 49 19 0 0 0 0 0 0.3
2021 0 0.72 0.02 0 83 132 28 2 2 49 49 1 50 2 0.02 0.26
2022 0.08 0.71 0.07 0.08 82 214 16 14 16 132 11 132 11 0 2 0.02 0.21
2023 0.06 0.66 0.07 0.07 51 265 7 18 34 165 10 214 16 5 27.8 0 0.19
2024 0.04 0.71 0.05 0.05 35 300 0 16 50 133 5 265 14 4 25 0 0.21
2025 0.07 0.94 0.06 0.05 55 355 0 20 70 86 6 300 16 5 25 0 0.27
2026 0 0.02 0.01 22 377 0 6 76 90 306 4 3 50 0
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12020A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations. (2020). Nguyen, Tuan Anh ; Kruse, Thomas ; Hutzenthaler, Martin ; Jentzen, Arnulf. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:1:y:2020:i:2:d:10.1007_s42985-019-0006-9.

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16
22021Neural networks-based backward scheme for fully nonlinear PDEs. (2021). Warin, Xavier ; Germain, Maximilien ; Pham, Huyen. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:1:d:10.1007_s42985-020-00062-8.

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12
32021Multilevel Picard iterations for solving smooth semilinear parabolic heat equations. (2021). , Weinan ; Kruse, Thomas ; Hutzenthaler, Martin ; Jentzen, Arnulf. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:6:d:10.1007_s42985-021-00089-5.

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8
42022Deep learning schemes for parabolic nonlocal integro-differential equations. (2022). Castro, Javier. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:6:d:10.1007_s42985-022-00213-z.

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5
52022Eckhaus instability of stationary patterns in hyperbolic reaction–diffusion models on large finite domains. (2022). Consolo, Giancarlo ; Grifo, Gabriele. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:5:d:10.1007_s42985-022-00193-0.

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4
62021The unique continuation property for second order evolution PDEs. (2021). Choulli, Mourad. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:5:d:10.1007_s42985-021-00123-6.

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3
72023Solving Kolmogorov PDEs without the curse of dimensionality via deep learning and asymptotic expansion with Malliavin calculus. (2023). Yamada, Toshihiro ; Takahashi, Akihiko. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:4:y:2023:i:4:d:10.1007_s42985-023-00240-4.

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3
82021Solving high-dimensional Hamilton–Jacobi–Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space. (2021). Nusken, Nikolas ; Richter, Lorenz. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:4:d:10.1007_s42985-021-00102-x.

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3
92022Deep neural network approximations for solutions of PDEs based on Monte Carlo algorithms. (2022). Grohs, Philipp ; Salimova, Diyora ; Jentzen, Arnulf. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:4:d:10.1007_s42985-021-00100-z.

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2
102022Existence of a minimizer for a nonlinear Schrödinger system with three wave interaction under non-symmetric potentials. (2022). Osada, Yuki. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:2:d:10.1007_s42985-022-00160-9.

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2
112023Neural networks for first order HJB equations and application to front propagation with obstacle terms. (2023). Warin, Xavier ; Bokanowski, Olivier ; Prost, Averil. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:4:y:2023:i:5:d:10.1007_s42985-023-00258-8.

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1
122020Global existence of solutions to some equations modeling phase separation of self-propelled particles. (2020). Bae, Hantaek. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:1:y:2020:i:6:d:10.1007_s42985-020-00047-7.

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1
132021Development and analysis of entropy stable no-slip wall boundary conditions for the Eulerian model for viscous and heat conducting compressible flows. (2021). Sayyari, Mohammed ; Parsani, Matteo ; Dalcin, Lisandro. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:6:d:10.1007_s42985-021-00132-5.

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1
142023An energy-based deep splitting method for the nonlinear filtering problem. (2023). Larsson, Stig ; Bgmark, Kasper ; Andersson, Adam. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:4:y:2023:i:2:d:10.1007_s42985-023-00231-5.

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1
152021On the uniqueness of a suitable weak solution to the Navier–Stokes Cauchy problem. (2021). Maremonti, Paolo ; Crispo, Francesca. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:3:d:10.1007_s42985-021-00073-z.

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1
162022Threshold odd solutions to the nonlinear Schrödinger equation in one dimension. (2022). Inui, Takahisa ; Gustafson, Stephen. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:4:d:10.1007_s42985-022-00183-2.

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1
172023A deep learning approach to the probabilistic numerical solution of path-dependent partial differential equations. (2023). Privault, Nicolas ; Yu, Jiang. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:4:y:2023:i:4:d:10.1007_s42985-023-00255-x.

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1
182020Stability analysis of a delayed sir epidemic model with diffusion and saturated incidence rate. (2020). Boutayeb, Salahaddine ; Rachik, Mostafa ; Laarabi, Hassan ; Alaoui, Hamad Talibi ; Abta, Abdelhadi. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:1:y:2020:i:4:d:10.1007_s42985-020-00015-1.

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1
192021An alternative proof of $$L^q$$ L q – $$L^r$$ L r estimates of the Oseen semigroup in higher dimensional exterior domains. (2021). Hishida, Toshiaki. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:2:d:10.1007_s42985-021-00086-8.

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1
202023Higher-order error estimates for physics-informed neural networks approximating the primitive equations. (2023). Tang, Sui ; Hu, Ruimeng ; Lin, Quyuan ; Raydan, Alan. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:4:y:2023:i:4:d:10.1007_s42985-023-00254-y.

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1
212020Asymptotic behavior for a class of derivative nonlinear Schrödinger systems. (2020). Katayama, Soichiro ; Sakoda, Daisuke. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:1:y:2020:i:3:d:10.1007_s42985-020-00012-4.

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1
222022Local existence for the non-resistive magnetohydrodynamic system with fractional dissipation in the $$L^p$$ L p framework. (2022). Yao, Zheng-An ; Qiu, Hua. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:6:d:10.1007_s42985-022-00211-1.

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1
232022Large time asymptotics for the fractional modified Korteweg-de Vries equation with $$\alpha \in \left( 2,4\right) $$ α ∈ 2 , 4. (2022). Naumkin, Pavel I ; Hayashi, Nakao ; Sanchez-Suarez, Isahi. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:6:d:10.1007_s42985-022-00206-y.

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1
242024Energy decay analysis for Porous elastic system with microtemperature: Classical vs second spectrum approach. (2024). Zougheib, Hamza ; el Arwadi, Toufic ; El-Hindi, Mohammad ; Soufyane, Abdelaziz. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:5:y:2024:i:2:d:10.1007_s42985-024-00273-3.

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1
252020Fourth-order time-stepping compact finite difference method for multi-dimensional space-fractional coupled nonlinear Schrödinger equations. (2020). Almushaira, Mustafa ; Liu, Fei. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:1:y:2020:i:6:d:10.1007_s42985-020-00048-6.

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1
262022Blow up of solutions of semilinear wave equations related to nonlinear waves in de Sitter spacetime. (2022). Wakasugi, Yuta ; Tsutaya, Kimitoshi. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:1:d:10.1007_s42985-021-00145-0.

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1
272023Global logarithmic stability of a Cauchy problem for anisotropic wave equations. (2023). Choulli, Mourad ; Bellassoued, Mourad. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:4:y:2023:i:3:d:10.1007_s42985-023-00242-2.

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1
282021Attraction–repulsion taxis mechanisms in a predator–prey model. (2021). Bell, Jonathan ; Haskell, Evan C. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:3:d:10.1007_s42985-021-00080-0.

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1
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12020A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations. (2020). Nguyen, Tuan Anh ; Kruse, Thomas ; Hutzenthaler, Martin ; Jentzen, Arnulf. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:1:y:2020:i:2:d:10.1007_s42985-019-0006-9.

Full description at Econpapers || Download paper

4
22022Deep learning schemes for parabolic nonlocal integro-differential equations. (2022). Castro, Javier. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:6:d:10.1007_s42985-022-00213-z.

Full description at Econpapers || Download paper

3
32021Neural networks-based backward scheme for fully nonlinear PDEs. (2021). Warin, Xavier ; Germain, Maximilien ; Pham, Huyen. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:1:d:10.1007_s42985-020-00062-8.

Full description at Econpapers || Download paper

3
42023Solving Kolmogorov PDEs without the curse of dimensionality via deep learning and asymptotic expansion with Malliavin calculus. (2023). Yamada, Toshihiro ; Takahashi, Akihiko. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:4:y:2023:i:4:d:10.1007_s42985-023-00240-4.

Full description at Econpapers || Download paper

2
52022Existence of a minimizer for a nonlinear Schrödinger system with three wave interaction under non-symmetric potentials. (2022). Osada, Yuki. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:3:y:2022:i:2:d:10.1007_s42985-022-00160-9.

Full description at Econpapers || Download paper

2
62021Solving high-dimensional Hamilton–Jacobi–Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space. (2021). Nusken, Nikolas ; Richter, Lorenz. In: Partial Differential Equations and Applications. RePEc:spr:pardea:v:2:y:2021:i:4:d:10.1007_s42985-021-00102-x.

Full description at Econpapers || Download paper

2
Citing documents used to compute impact factor:
YearTitle
Recent citations
Recent citations received in 2023

YearCiting document