J.F.G. Schneiders

609 total citations
21 papers, 461 citations indexed

About

J.F.G. Schneiders is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, J.F.G. Schneiders has authored 21 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 11 papers in Environmental Engineering and 11 papers in Aerospace Engineering. Recurrent topics in J.F.G. Schneiders's work include Fluid Dynamics and Turbulent Flows (18 papers), Wind and Air Flow Studies (11 papers) and Particle Dynamics in Fluid Flows (8 papers). J.F.G. Schneiders is often cited by papers focused on Fluid Dynamics and Turbulent Flows (18 papers), Wind and Air Flow Studies (11 papers) and Particle Dynamics in Fluid Flows (8 papers). J.F.G. Schneiders collaborates with scholars based in Netherlands, Germany and Canada. J.F.G. Schneiders's co-authors include Fulvio Scarano, Andrea Sciacchitano, B.W. van Oudheusden, Gerrit E. Elsinga, Stefan Pröbsting, Richard P. Dwight, Young Jin Jeon, Dirk Michaelis, Giuseppe Carlo Alp Caridi and David E. Rival and has published in prestigious journals such as Measurement Science and Technology, Experiments in Fluids and Data Archiving and Networked Services (DANS).

In The Last Decade

J.F.G. Schneiders

21 papers receiving 434 citations

Peers

J.F.G. Schneiders

SNP

Benjamin Leclaire France

Young Jin Jeon South Korea

P. T. Tokumaru United States

Davide Gatti Germany

Andrea Pasquali Germany

S. Coudert France

Nicolas Mazellier France

Václav Uruba Czechia

Gabriele Bellani Italy

Charles Moulinec United Kingdom

Benjamin Leclaire France

J.F.G. Schneiders

332 ×0.9

159 ×0.7

77 ×0.6

53 ×0.5

40 ×0.9

SNP

Citations per year, relative to J.F.G. Schneiders J.F.G. Schneiders (= 1×) peers Benjamin Leclaire

Countries citing papers authored by J.F.G. Schneiders

Since Specialization

Citations

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

Fields of papers citing papers by J.F.G. Schneiders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.F.G. Schneiders. 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 J.F.G. Schneiders. The network helps show where J.F.G. Schneiders may publish in the future.

Co-authorship network of co-authors of J.F.G. Schneiders

This figure shows the co-authorship network connecting the top 25 collaborators of J.F.G. Schneiders. A scholar is included among the top collaborators of J.F.G. Schneiders 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 J.F.G. Schneiders. J.F.G. Schneiders 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

Scarano, Fulvio, et al.. (2022). Dense velocity reconstruction with VIC-based time-segment assimilation. Experiments in Fluids. 63(6). 12 indexed citations

Sciacchitano, Andrea, et al.. (2018). Robotic volumetric PIV of a full-scale cyclist. Experiments in Fluids. 59(4). 62 indexed citations

Jeon, Young Jin, J.F.G. Schneiders, Marc F. Müller, Dirk Michaelis, & Bernhard Wieneke. (2018). 4D flow field reconstruction from particle tracks by VIC+ with additional constraints and multigrid approximation. Repository for Publications and Research Data (ETH Zurich). 11 indexed citations

Schneiders, J.F.G., Francesco Avallone, Stefan Pröbsting, Daniele Ragni, & Fulvio Scarano. (2018). Pressure spectra from single-snapshot tomographic PIV. Experiments in Fluids. 59(3). 12 indexed citations

González‐Sánchez, Guillermo, Daniele Ragni, Francesco Avallone, et al.. (2018). Jet pressure-spectra estimation from single-snapshot tomographic PIV. 1 indexed citations

Sciacchitano, Andrea, et al.. (2018). Quantitative flow visualization of a turboprop aircraft by robotic volumetric velocimetry. Research Repository (Delft University of Technology). 3 indexed citations

Schneiders, J.F.G., et al.. (2018). Coaxial volumetric velocimetry. Measurement Science and Technology. 29(6). 65201–65201. 31 indexed citations

Schneiders, J.F.G. & Fulvio Scarano. (2018). On the use of full particle trajectories and vorticity transport for dense velocity field reconstruction. Research Repository (Delft University of Technology). 1 indexed citations

Michaelis, Dirk, B.W. van Oudheusden, Pierre-Élie Weiss, et al.. (2017). Comparative assessment of pressure field reconstructions from particle image velocimetry measurements and Lagrangian particle tracking. Experiments in Fluids. 58(4). 96 indexed citations

10.

Schneiders, J.F.G.. (2017). Bridging PIV spatial and temporal resolution using governing equations and development of the coaxial volumetric velocimeter. Research Repository (Delft University of Technology). 2 indexed citations

11.

Schneiders, J.F.G. & Andrea Sciacchitano. (2017). Track benchmarking method for uncertainty quantification of particle tracking velocimetry interpolations. Measurement Science and Technology. 28(6). 65302–65302. 13 indexed citations

12.

Schneiders, J.F.G., Fulvio Scarano, & Gerrit E. Elsinga. (2017). Resolving vorticity and dissipation in a turbulent boundary layer by tomographic PTV and VIC+. Experiments in Fluids. 58(4). 31 indexed citations

13.

Schneiders, J.F.G., Giuseppe Carlo Alp Caridi, Andrea Sciacchitano, & Fulvio Scarano. (2016). Large-scale volumetric pressure from tomographic PTV with HFSB tracers. Experiments in Fluids. 57(11). 27 indexed citations

14.

Schneiders, J.F.G. & Fulvio Scarano. (2016). Dense velocity reconstruction from tomographic PTV with material derivatives. Experiments in Fluids. 57(9). 105 indexed citations

15.

Schneiders, J.F.G., Stefan Pröbsting, Richard P. Dwight, B.W. van Oudheusden, & Fulvio Scarano. (2016). Pressure estimation from single-snapshot tomographic PIV in a turbulent boundary layer. Experiments in Fluids. 57(4). 39 indexed citations

16.

Schneiders, J.F.G., Piyush Singh, & Fulvio Scarano. (2016). Instantaneous Flow Reconstruction from Particle Trajectories with Vortex-in-Cell. Data Archiving and Networked Services (DANS). 1 indexed citations

17.

Schneiders, J.F.G., Giuseppe Carlo Alp Caridi, Andrea Sciacchitano, & Fulvio Scarano. (2016). Instantaneous Pressure Measurements from Large-Scale Tomo-PTV with HFSB Tracers past a Surface-Mounted Finite Cylinder. 54th AIAA Aerospace Sciences Meeting. 1 indexed citations

18.

Schneiders, J.F.G., Fulvio Scarano, & Gerrit E. Elsinga. (2016). On the resolved scales in a turbulent boundary layer by tomographic PIV and PTV aided by VIC. Data Archiving and Networked Services (DANS). 1 indexed citations

19.

Pröbsting, Stefan, J.F.G. Schneiders, Francesco Avallone, Daniele Ragni, & Fulvio Scarano. (2016). Trailing-edge noise diagnostics with low-repetition-rate PIV. 4 indexed citations

20.

Schneiders, J.F.G., Richard P. Dwight, & Fulvio Scarano. (2013). Vortex-in-Cell method for time-supersampling of PIV data. Research Repository (Delft University of Technology). 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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