Matthew Giarra

422 total citations
12 papers, 322 citations indexed

About

Matthew Giarra is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Matthew Giarra has authored 12 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 4 papers in Electrical and Electronic Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Matthew Giarra's work include Fluid Dynamics and Turbulent Flows (5 papers), Wind and Air Flow Studies (2 papers) and Mechanical Circulatory Support Devices (2 papers). Matthew Giarra is often cited by papers focused on Fluid Dynamics and Turbulent Flows (5 papers), Wind and Air Flow Studies (2 papers) and Mechanical Circulatory Support Devices (2 papers). Matthew Giarra collaborates with scholars based in United States. Matthew Giarra's co-authors include Matthew R. Myers, Richard A. Malinauskas, Prasanna Hariharan, Keefe B. Manning, Varun Reddy, Michael R. Berman, Steven Deutsch, Eric G. Paterson, Steven W. Day and Greg W. Burgreen and has published in prestigious journals such as Journal of Experimental Biology, Journal of Biomechanical Engineering and Measurement Science and Technology.

In The Last Decade

Matthew Giarra

12 papers receiving 313 citations

Peers

Matthew Giarra

CCM

SURGE

S. Casey Jones United States

Corrado Groth Italy

Sebastiaan Annerel Belgium

N. M. Bessonov Russia

Luigi Martinelli United States

M. Serdar Çelebi Türkiye

Hiromichi Mishina Japan

Cheng Tu China

Hyeokjun Byeon South Korea

Emmanuel Leriche France

S. Casey Jones United States

Matthew Giarra

213 ×2.1

112 ×1.2

266 ×3.7

CCM

106 ×1.7

SURGE

48 ×1.0

Citations per year, relative to Matthew Giarra Matthew Giarra (= 1×) peers S. Casey Jones

Countries citing papers authored by Matthew Giarra

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Giarra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Giarra

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

All Works

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12 of 12 papers shown

Giarra, Matthew, et al.. (2018). How temperature influences the viscosity of hornworm hemolymph. Journal of Experimental Biology. 221(Pt 21). 19 indexed citations

Giarra, Matthew, et al.. (2018). Measurement of the flow field induced by a spark plasma using particle image velocimetry. Experiments in Fluids. 59(12). 14 indexed citations

Giarra, Matthew, et al.. (2018). Multi-dimensional confocal laser scanning microscopy image correlation for nanoparticle flow velocimetry. Microfluidics and Nanofluidics. 22(8). 1 indexed citations

Giarra, Matthew, et al.. (2017). PIV/BOS Synthetic Image Generation in Variable Density Environments for Error Analysis and Experiment Design. 55th AIAA Aerospace Sciences Meeting. 3 indexed citations

Giarra, Matthew, et al.. (2016). Fluid Motion Induced by Spark Plasma: Development of Particle Image Velocimetry Measurements. 54th AIAA Aerospace Sciences Meeting. 2 indexed citations

Giarra, Matthew, et al.. (2016). Nanoparticle flow velocimetry with image phase correlation for confocal laser scanning microscopy. Measurement Science and Technology. 27(10). 104003–104003. 3 indexed citations

Jana, Saikat, et al.. (2015). Paramecia swimming in viscous flow. The European Physical Journal Special Topics. 224(17-18). 3199–3210. 6 indexed citations

Giarra, Matthew, John Charonko, & Pavlos P. Vlachos. (2015). Measurement of fluid rotation, dilation, and displacement in particle image velocimetry using a Fourier–Mellin cross-correlation. Measurement Science and Technology. 26(3). 35301–35301. 8 indexed citations

Stewart, Sandy F. C., Prasanna Hariharan, Eric G. Paterson, et al.. (2013). Results of FDA’s First Interlaboratory Computational Study of a Nozzle with a Sudden Contraction and Conical Diffuser. Cardiovascular Engineering and Technology. 4(4). 374–391. 45 indexed citations

10.

Stewart, Sandy F. C., Eric G. Paterson, Greg W. Burgreen, et al.. (2012). Assessment of CFD Performance in Simulations of an Idealized Medical Device: Results of FDA’s First Computational Interlaboratory Study. Cardiovascular Engineering and Technology. 3(2). 139–160. 120 indexed citations

11.

Hariharan, Prasanna, Matthew Giarra, Varun Reddy, et al.. (2011). Multilaboratory Particle Image Velocimetry Analysis of the FDA Benchmark Nozzle Model to Support Validation of Computational Fluid Dynamics Simulations. Journal of Biomechanical Engineering. 133(4). 41002–41002. 98 indexed citations

12.

Giarra, Matthew. (2009). Shear Stress Distribution and Hemolysis Measurements in a Centrifugal Blood Pump. RIT Scholar Works (Rochester Institute of Technology). 3 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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