P. Jameson Graber

504 total citations
21 papers, 270 citations indexed

About

P. Jameson Graber is a scholar working on Finance, Mathematical Physics and Control and Systems Engineering. According to data from OpenAlex, P. Jameson Graber has authored 21 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 9 papers in Mathematical Physics and 8 papers in Control and Systems Engineering. Recurrent topics in P. Jameson Graber's work include Stochastic processes and financial applications (12 papers), Stability and Controllability of Differential Equations (8 papers) and Advanced Mathematical Modeling in Engineering (8 papers). P. Jameson Graber is often cited by papers focused on Stochastic processes and financial applications (12 papers), Stability and Controllability of Differential Equations (8 papers) and Advanced Mathematical Modeling in Engineering (8 papers). P. Jameson Graber collaborates with scholars based in United States, France and United Kingdom. P. Jameson Graber's co-authors include Belkacem Said‐Houari, Alain Bensoussan, Irena Lasiecka, Alpár R. Mészáros, Ronnie Sircar, Colin J. Cotter, Hasnaa Zidani, Robert C. Kirby and Sheung Chi Phillip Yam and has published in prestigious journals such as Journal of Differential Equations, Numerische Mathematik and Journal of Functional Analysis.

In The Last Decade

P. Jameson Graber

20 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Jameson Graber United States 10 162 154 134 89 47 21 270
Giuseppina Guatteri Italy 10 89 0.5× 52 0.3× 75 0.6× 149 1.7× 27 0.6× 26 234
Stefano Bonaccorsi Italy 10 110 0.7× 71 0.5× 114 0.9× 135 1.5× 15 0.3× 46 286
Longjie Xie China 11 64 0.4× 96 0.6× 98 0.7× 216 2.4× 14 0.3× 31 318
Annalisa Cesaroni Italy 9 53 0.3× 55 0.4× 106 0.8× 77 0.9× 11 0.2× 48 251
Annie Millet France 8 82 0.5× 149 1.0× 153 1.1× 290 3.3× 9 0.2× 11 354
Martin Ondreját Czechia 9 157 1.0× 136 0.9× 170 1.3× 277 3.1× 7 0.1× 22 371
Francesca Da Lio Italy 15 78 0.5× 115 0.7× 273 2.0× 85 1.0× 21 0.4× 30 509
Jiagang Ren China 12 91 0.6× 182 1.2× 181 1.4× 360 4.0× 21 0.4× 45 534
Mariko Arisawa France 9 41 0.3× 42 0.3× 160 1.2× 82 0.9× 41 0.9× 14 247
Nicoletta Tchou France 12 48 0.3× 125 0.8× 204 1.5× 70 0.8× 10 0.2× 51 359

Countries citing papers authored by P. Jameson Graber

Since Specialization
Citations

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

Fields of papers citing papers by P. Jameson Graber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Jameson Graber. 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 P. Jameson Graber. The network helps show where P. Jameson Graber may publish in the future.

Co-authorship network of co-authors of P. Jameson Graber

This figure shows the co-authorship network connecting the top 25 collaborators of P. Jameson Graber. A scholar is included among the top collaborators of P. Jameson Graber 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 P. Jameson Graber. P. Jameson Graber 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.
Graber, P. Jameson. (2025). Remarks on potential mean field games. Research in the Mathematical Sciences. 12(1).
2.
Graber, P. Jameson & Alpár R. Mészáros. (2024). On some mean field games and master equations through the lens of conservation laws. Mathematische Annalen. 390(3). 4497–4533. 2 indexed citations
3.
Bensoussan, Alain, P. Jameson Graber, & Sheung Chi Phillip Yam. (2024). Control on Hilbert spaces and application to some mean field type control problems. The Annals of Applied Probability. 34(4). 3 indexed citations
4.
Graber, P. Jameson & Alpár R. Mészáros. (2023). On monotonicity conditions for mean field games. Journal of Functional Analysis. 285(9). 110095–110095. 10 indexed citations
5.
Graber, P. Jameson & Ronnie Sircar. (2022). Master equation for Cournot mean field games of control with absorption. Journal of Differential Equations. 343. 816–909. 3 indexed citations
6.
Graber, P. Jameson, et al.. (2022). Parameter Sensitivity Analysis for Mean Field Games of Production. Applied Mathematics & Optimization. 86(1). 2 indexed citations
7.
Graber, P. Jameson, et al.. (2021). Weak solutions for potential mean field games of controls. Nonlinear Differential Equations and Applications NoDEA. 28(5). 8 indexed citations
8.
Graber, P. Jameson, et al.. (2018). ON MEAN FIELD GAMES MODELS FOR EXHAUSTIBLE COMMODITIES TRADE. HAL (Le Centre pour la Communication Scientifique Directe). 9 indexed citations
9.
Graber, P. Jameson & Alpár R. Mészáros. (2018). Sobolev regularity for first order mean field games. Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 35(6). 1557–1576. 8 indexed citations
10.
Graber, P. Jameson, et al.. (2017). Discontinuous solutions of Hamilton–Jacobi equations on networks. Journal of Differential Equations. 263(12). 8418–8466. 2 indexed citations
11.
Graber, P. Jameson & Alain Bensoussan. (2016). Existence and Uniqueness of Solutions for Bertrand and Cournot Mean Field Games. Applied Mathematics & Optimization. 77(1). 47–71. 19 indexed citations
12.
Graber, P. Jameson, et al.. (2016). Attractors for strongly damped wave equations with nonlinear hyperbolic dynamic boundary conditions. Nonlinearity. 29(4). 1171–1212. 8 indexed citations
13.
Graber, P. Jameson. (2016). Linear Quadratic Mean Field Type Control and Mean Field Games with Common Noise, with Application to Production of an Exhaustible Resource. Applied Mathematics & Optimization. 74(3). 459–486. 37 indexed citations
14.
Graber, P. Jameson. (2014). Optimal Control of First-Order Hamilton–Jacobi Equations with Linearly Bounded Hamiltonian. Applied Mathematics & Optimization. 70(2). 185–224. 8 indexed citations
15.
Graber, P. Jameson & Irena Lasiecka. (2013). Analyticity and Gevrey class regularity for a strongly damped wave equation with hyperbolic dynamic boundary conditions. Semigroup Forum. 88(2). 333–365. 20 indexed citations
16.
Graber, P. Jameson & Belkacem Said‐Houari. (2012). On the wave equation with semilinear porous acoustic boundary conditions. Journal of Differential Equations. 252(9). 4898–4941. 50 indexed citations
17.
Graber, P. Jameson & Belkacem Said‐Houari. (2012). Existence and Asymptotic Behavior of the Wave Equation with Dynamic Boundary Conditions. Applied Mathematics & Optimization. 66(1). 81–122. 17 indexed citations
18.
Graber, P. Jameson. (2011). Uniform boundary stabilization of a wave equation with nonlinear acoustic boundary conditions and nonlinear boundary damping. Journal of Evolution Equations. 12(1). 141–164. 21 indexed citations
19.
Graber, P. Jameson. (2011). Strong stability and uniform decay of solutions to a wave equation with semilinear porous acoustic boundary conditions. Nonlinear Analysis. 74(10). 3137–3148. 19 indexed citations
20.
Graber, P. Jameson. (2010). Wave equation with porous nonlinear acoustic boundary conditions generates a well-posed dynamical system. Nonlinear Analysis. 73(9). 3058–3068. 21 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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