Vincent R. Martinez

412 total citations
19 papers, 244 citations indexed

About

Vincent R. Martinez is a scholar working on Computational Mechanics, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Vincent R. Martinez has authored 19 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Control and Systems Engineering and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Vincent R. Martinez's work include Stability and Controllability of Differential Equations (6 papers), Navier-Stokes equation solutions (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Vincent R. Martinez is often cited by papers focused on Stability and Controllability of Differential Equations (6 papers), Navier-Stokes equation solutions (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Vincent R. Martinez collaborates with scholars based in United States, Israel and Hong Kong. Vincent R. Martinez's co-authors include Michael S. Jolly, Edriss S. Titi, Kun Zhao, Animikh Biswas, Zhi‐An Wang, Jared P. Whitehead, Eric J. Olson, Nathan Glatt-Holtz, Adam Larios and Joshua Hudson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physica D Nonlinear Phenomena and Inverse Problems.

In The Last Decade

Vincent R. Martinez

16 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincent R. Martinez United States	9	136	82	53	47	44	19	244
Xiaoping Zhai China	10	223 1.6×	32 0.4×	12 0.2×	14 0.3×	21 0.5×	69	384
Anca–Voichita Matioc Germany	13	29 0.2×	74 0.9×	47 0.9×	47 1.0×	37 0.8×	22	367
François James France	7	109 0.8×	16 0.2×	16 0.3×	23 0.5×	14 0.3×	16	332
Ewelina Zatorska United Kingdom	12	168 1.2×	6 0.1×	46 0.9×	23 0.5×	33 0.8×	40	348
Gautam Iyer United States	7	84 0.6×	10 0.1×	12 0.2×	38 0.8×	40 0.9×	24	246
Yanbo Hu China	11	127 0.9×	19 0.2×	18 0.3×	18 0.4×	71 1.6×	60	369
Bogdan–Vasile Matioc Germany	11	68 0.5×	73 0.9×	7 0.1×	58 1.2×	23 0.5×	45	368
Hao Jia United States	11	239 1.8×	17 0.2×	8 0.2×	22 0.5×	39 0.9×	19	422
Kamel Mohamed Saudi Arabia	11	116 0.9×	21 0.3×	6 0.1×	12 0.3×	15 0.3×	31	317
John Tavantzis United States	6	67 0.5×	26 0.3×	6 0.1×	76 1.6×	32 0.7×	9	300

Countries citing papers authored by Vincent R. Martinez

Since Specialization

Citations

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

Fields of papers citing papers by Vincent R. Martinez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent R. Martinez. 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 Vincent R. Martinez. The network helps show where Vincent R. Martinez may publish in the future.

Co-authorship network of co-authors of Vincent R. Martinez

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Martinez, Vincent R., et al.. (2025). Relaxation-based schemes for on-the-fly parameter estimation in dissipative dynamical systems. Inverse Problems. 41(5). 55001–55001. 1 indexed citations

Larios, Adam, et al.. (2024). Identifying the body force from partial observations of a two-dimensional incompressible velocity field. Physical Review Fluids. 9(5). 5 indexed citations

Martinez, Vincent R.. (2024). On the reconstruction of unknown driving forces from low-mode observations in the 2D Navier–Stokes equations. Proceedings of the Royal Society of Edinburgh Section A Mathematics. 155(6). 2171–2194. 1 indexed citations

Larios, Adam & Vincent R. Martinez. (2024). Remarks on the Stabilization of Large-Scale Growth in the 2D Kuramoto–Sivashinsky Equation. Journal of Mathematical Fluid Mechanics. 26(4).

Marchetti, Paulo Henrique, et al.. (2023). Acute effects of different number of sets and non-equalized volume on muscle thickness, peak force, and physical performance in recreationally-trained participants. 12(1). 10–19.

Hudson, Joshua, et al.. (2022). Dynamically learning the parameters of a chaotic system using partial observations. Discrete and Continuous Dynamical Systems. 42(8). 3809–3809. 25 indexed citations

Biswas, Animikh, Kenneth R. Brown, & Vincent R. Martinez. (2022). Mesh-Free Interpolant Observables for Continuous Data Assimilation. arXiv (Cornell University). 38(3). 296–355. 4 indexed citations

Martinez, Vincent R.. (2022). Convergence analysis of a viscosity parameter recovery algorithm for the 2D Navier–Stokes equations. Nonlinearity. 35(5). 2241–2287. 17 indexed citations

Glatt-Holtz, Nathan, et al.. (2019). Data Assimilation In Large Prandtl Rayleigh-benard Convection From Thermal Measurements. arXiv (Cornell University). 29 indexed citations

10.

Jolly, Michael S., Vincent R. Martinez, Eric J. Olson, & Edriss S. Titi. (2019). Continuous Data Assimilation with Blurred-in-Time Measurements of the Surface Quasi-Geostrophic Equation. Apollo (University of Cambridge). 31 indexed citations

11.

Jolly, Michael S., et al.. (2018). A Determining Form for the Subcritical Surface Quasi-Geostrophic Equation. Journal of Dynamics and Differential Equations. 31(3). 1457–1494. 4 indexed citations

12.

Martinez, Vincent R., et al.. (2018). Global Cauchy Problem of a System of Parabolic Conservation Laws Arising From a Keller--Segel Type Chemotaxis Model. SIAM Journal on Mathematical Analysis. 50(5). 5380–5425. 9 indexed citations

13.

Martinez, Vincent R., Zhi‐An Wang, & Kun Zhao. (2018). Asymptotic and viscous stability of large-amplitude solutions of a hyperbolic system arising from biology. Indiana University Mathematics Journal. 67(4). 1383–1424. 38 indexed citations

14.

Jolly, Michael S., Vincent R. Martinez, & Edriss S. Titi. (2017). A Data Assimilation Algorithm for the Subcritical Surface Quasi-Geostrophic Equation. SHILAP Revista de lepidopterología. 41 indexed citations

15.

Martinez, Vincent R., et al.. (2017). Data assimilation using noisy time-averaged measurements. Physica D Nonlinear Phenomena. 376-377. 49–59. 10 indexed citations

16.

Martinez, Vincent R. & Kun Zhao. (2017). Analyticity and dynamics of a Navier-Stokes-Keller-Segel system on bounded domains. Dynamics of Partial Differential Equations. 14(2). 125–158.

17.

Biswas, Animikh & Vincent R. Martinez. (2016). Higher-order synchronization for a data assimilation algorithm for the 2D Navier–Stokes equations. Nonlinear Analysis Real World Applications. 35. 132–157. 27 indexed citations

18.

Martinez, Vincent R.. (2014). On Gevrey regularity of equations of fluid and geophysical fluid dynamics with applications to 2D and 3D turbulence. 1 indexed citations

19.

Martinez, Vincent R., et al.. (2007). The Geometry of the Hausdorff Metric. 1 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.

Explore authors with similar magnitude of impact