M. A. Rutgers

638 total citations
10 papers, 505 citations indexed

About

M. A. Rutgers is a scholar working on Computational Mechanics, Global and Planetary Change and Materials Chemistry. According to data from OpenAlex, M. A. Rutgers has authored 10 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 4 papers in Global and Planetary Change and 4 papers in Materials Chemistry. Recurrent topics in M. A. Rutgers's work include Fluid Dynamics and Turbulent Flows (5 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Pickering emulsions and particle stabilization (3 papers). M. A. Rutgers is often cited by papers focused on Fluid Dynamics and Turbulent Flows (5 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Pickering emulsions and particle stabilization (3 papers). M. A. Rutgers collaborates with scholars based in United States and France. M. A. Rutgers's co-authors include Xiao-Lun Wu, W. I. Goldburg, Jiangeng Xue, P. M. Chaikin, William B. Russel, W. Brent Daniel, E. Herbolzheimer, J. H. Dunsmuir, H. Kellay and J. Hoftiezer and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physics of Fluids.

In The Last Decade

M. A. Rutgers

10 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. A. Rutgers United States	10	282	176	95	72	45	10	505
J. D. van der Waals Mali	6	250 0.9×	322 1.8×	253 2.7×	24 0.3×	60 1.3×	14	792
Vadim Borue United States	12	672 2.4×	205 1.2×	114 1.2×	66 0.9×	36 0.8×	15	1.2k
Carole Lecoutre France	13	124 0.4×	91 0.5×	239 2.5×	86 1.2×	40 0.9×	43	503
Alexei Nikolaenko United States	13	538 1.9×	98 0.6×	261 2.7×	34 0.5×	41 0.9×	25	865
V. P. Koverda Russia	16	163 0.6×	144 0.8×	105 1.1×	57 0.8×	78 1.7×	106	813
V. P. Skripov Russia	13	126 0.4×	304 1.7×	228 2.4×	25 0.3×	80 1.8×	65	820
L. A. Bolshov Russia	10	75 0.3×	141 0.8×	61 0.6×	16 0.2×	30 0.7×	96	491
John Hegseth United States	13	352 1.2×	82 0.5×	164 1.7×	26 0.4×	59 1.3×	30	622
S. Mazzoni Switzerland	14	192 0.7×	83 0.5×	140 1.5×	12 0.2×	59 1.3×	82	605
Yuri Gaponenko Belgium	19	664 2.4×	204 1.2×	237 2.5×	49 0.7×	28 0.6×	50	928

Countries citing papers authored by M. A. Rutgers

Since Specialization

Citations

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

Fields of papers citing papers by M. A. Rutgers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Rutgers

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Rutgers. A scholar is included among the top collaborators of M. A. Rutgers 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 M. A. Rutgers. M. A. Rutgers 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

Wu, Xiao-Lun, Robert Y. Levine, M. A. Rutgers, H. Kellay, & W. I. Goldburg. (2001). Infrared technique for measuring thickness of a flowing soap film. Review of Scientific Instruments. 72(5). 2467–2471. 20 indexed citations

Rutgers, M. A., Xiao-Lun Wu, & W. Brent Daniel. (2001). Conducting fluid dynamics experiments with vertically falling soap films. Review of Scientific Instruments. 72(7). 3025–3037. 77 indexed citations

Hoftiezer, J., et al.. (2000). Triaxial magnetic field gradient system for microcoil magnetic resonance imaging. Review of Scientific Instruments. 71(11). 4263–4272. 39 indexed citations

Belmonte, Andrew, et al.. (1999). Velocity fluctuations in a turbulent soap film: The third moment in two dimensions. Physics of Fluids. 11(5). 1196–1200. 35 indexed citations

Wu, Xiao-Lun, et al.. (1998). Spectra of Decaying Turbulence in a Soap Film. Physical Review Letters. 80(18). 3964–3967. 58 indexed citations

Goldburg, W. I., M. A. Rutgers, & Xiang-Yu Wu. (1997). Experiments on turbulence in soap films. Physica A Statistical Mechanics and its Applications. 239(1-3). 340–349. 22 indexed citations

Rutgers, M. A., et al.. (1996). Two-dimensional velocity profiles and laminar boundary layers in flowing soap films. Physics of Fluids. 8(11). 2847–2854. 73 indexed citations

Rutgers, M. A., J. H. Dunsmuir, Jiangeng Xue, William B. Russel, & P. M. Chaikin. (1996). Measurement of the hard-sphere equation of state using screened charged polystyrene colloids. Physical review. B, Condensed matter. 53(9). 5043–5046. 88 indexed citations

Rutgers, M. A., Jiangeng Xue, E. Herbolzheimer, William B. Russel, & P. M. Chaikin. (1995). Crystalline fluidized beds. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51(5). 4674–4678. 13 indexed citations

10.

Xue, Jiangeng, E. Herbolzheimer, M. A. Rutgers, William B. Russel, & P. M. Chaikin. (1992). Diffusion, dispersion, and settling of hard spheres. Physical Review Letters. 69(11). 1715–1718. 80 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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