Eric A. Deem

412 total citations
10 papers, 263 citations indexed

About

Eric A. Deem is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Eric A. Deem has authored 10 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 8 papers in Aerospace Engineering and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Eric A. Deem's work include Fluid Dynamics and Turbulent Flows (7 papers), Plasma and Flow Control in Aerodynamics (6 papers) and Aerodynamics and Acoustics in Jet Flows (4 papers). Eric A. Deem is often cited by papers focused on Fluid Dynamics and Turbulent Flows (7 papers), Plasma and Flow Control in Aerodynamics (6 papers) and Aerodynamics and Acoustics in Jet Flows (4 papers). Eric A. Deem collaborates with scholars based in United States. Eric A. Deem's co-authors include Louis N. Cattafesta, Clarence W. Rowley, Maziar S. Hemati, Rajat Mittal, Yang Zhang, Timothy W. Fahringer, Brian Thurow, Hao Zhang, Matthew O. Williams and Jung-Hee Seo and has published in prestigious journals such as Journal of Fluid Mechanics, Measurement Science and Technology and SIAM Journal on Applied Dynamical Systems.

In The Last Decade

Eric A. Deem

10 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric A. Deem United States	6	160	121	82	56	26	10	263
Aditya Nair United States	11	212 1.3×	166 1.4×	87 1.1×	21 0.4×	31 1.2×	30	349
Ido Bright United States	4	104 0.7×	127 1.0×	42 0.5×	23 0.4×	12 0.5×	13	225
George Em Karniadakis United States	6	126 0.8×	219 1.8×	47 0.6×	19 0.3×	21 0.8×	14	369
Maximilian Winter Germany	10	177 1.1×	128 1.1×	99 1.2×	28 0.5×	5 0.2×	14	311
А. Е. Бондарев Russia	10	117 0.7×	36 0.3×	46 0.6×	22 0.4×	24 0.9×	68	293
Kazuto Hasegawa Japan	5	210 1.3×	196 1.6×	86 1.0×	13 0.2×	25 1.0×	6	305
Yaohua Zang Germany	3	86 0.5×	194 1.6×	26 0.3×	21 0.4×	16 0.6×	6	263
Tong Qin United States	7	165 1.0×	203 1.7×	29 0.4×	39 0.7×	10 0.4×	11	387
Pengzhan Jin China	7	51 0.3×	200 1.7×	18 0.2×	34 0.6×	18 0.7×	10	291
Vivek Oommen United States	6	80 0.5×	137 1.1×	47 0.6×	15 0.3×	10 0.4×	10	296

Countries citing papers authored by Eric A. Deem

Since Specialization

Citations

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

Fields of papers citing papers by Eric A. Deem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Deem. 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 Eric A. Deem. The network helps show where Eric A. Deem may publish in the future.

Co-authorship network of co-authors of Eric A. Deem

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

All Works

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10 of 10 papers shown

1.

Deem, Eric A., Louis N. Cattafesta, Maziar S. Hemati, et al.. (2020). Adaptive separation control of a laminar boundary layer using online dynamic mode decomposition. Journal of Fluid Mechanics. 903. 41 indexed citations

2.

Rowley, Clarence W., et al.. (2019). Online Dynamic Mode Decomposition for Time-Varying Systems. SIAM Journal on Applied Dynamical Systems. 18(3). 1586–1609. 118 indexed citations

3.

Seo, Jung-Hee, et al.. (2018). Effect of synthetic jet modulation schemes on the reduction of a laminar separation bubble. Physical Review Fluids. 3(3). 12 indexed citations

4.

Deem, Eric A., et al.. (2018). Experimental Implementation of Modal Approaches for Autonomous Reattachment of Separated Flows. 2018 AIAA Aerospace Sciences Meeting. 7 indexed citations

5.

Deem, Eric A.. (2018). Flow Physics and Nonlinear Dynamics of Separated Flows Subject to ZNMF-based Control. 1 indexed citations

6.

Deem, Eric A., Louis N. Cattafesta, Hao Zhang, et al.. (2017). Identifying Dynamic Modes of Separated Flow Subject to ZNMF-Based Control from Surface Pressure Measurements. 5 indexed citations

7.

Deem, Eric A., Yang Zhang, Louis N. Cattafesta, Timothy W. Fahringer, & Brian Thurow. (2016). On the resolution of plenoptic PIV. Measurement Science and Technology. 27(8). 84003–84003. 44 indexed citations

8.

Hemati, Maziar S., Eric A. Deem, Matthew O. Williams, Clarence W. Rowley, & Louis N. Cattafesta. (2016). Improving Separation Control with Noise-Robust Variants of Dynamic Mode Decomposition. 54th AIAA Aerospace Sciences Meeting. 28 indexed citations

9.

Deem, Eric A., et al.. (2015). Chip-scale electrodynamic synthetic jet actuators. 1901. 936–939. 2 indexed citations

10.

Deem, Eric A., et al.. (2013). Deconvolution Correction for Wandering in Wingtip Vortex Flowfield Data. Journal of Fluid Science and Technology. 8(2). 219–232. 5 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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