M. Avellaneda

3.1k total citations · 1 hit paper
19 papers, 2.1k citations indexed

About

M. Avellaneda is a scholar working on Mechanics of Materials, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, M. Avellaneda has authored 19 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanics of Materials, 8 papers in Computational Theory and Mathematics and 6 papers in Biomedical Engineering. Recurrent topics in M. Avellaneda's work include Advanced Mathematical Modeling in Engineering (8 papers), Composite Material Mechanics (8 papers) and NMR spectroscopy and applications (3 papers). M. Avellaneda is often cited by papers focused on Advanced Mathematical Modeling in Engineering (8 papers), Composite Material Mechanics (8 papers) and NMR spectroscopy and applications (3 papers). M. Avellaneda collaborates with scholars based in United States, France and Russia. M. Avellaneda's co-authors include Geoffrey M. Davis, Stéphane Mallat, Salvatore Torquato, Arnon Levy, Graeme W. Milton, Andrej Cherkaev, K. A. Lurie, Yves Achdou, Massimo Vergassola and Mark Rudelson and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Applied Physics and Journal of the Mechanics and Physics of Solids.

In The Last Decade

M. Avellaneda

19 papers receiving 1.9k citations

Hit Papers

Adaptive greedy approximations 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Avellaneda United States 15 598 526 391 351 317 19 2.1k
Haomin Zhou United States 22 305 0.5× 208 0.4× 159 0.4× 77 0.2× 495 1.6× 90 1.9k
Robert Piessens Belgium 26 300 0.5× 271 0.5× 323 0.8× 62 0.2× 210 0.7× 97 2.4k
Joel Franklin United States 19 215 0.4× 156 0.3× 464 1.2× 42 0.1× 187 0.6× 70 2.8k
Germund Dahlquist Sweden 17 1.2k 2.0× 199 0.4× 873 2.2× 55 0.2× 127 0.4× 31 3.7k
Hans Sagan United States 12 258 0.4× 231 0.4× 335 0.9× 31 0.1× 237 0.7× 32 1.9k
Ward Cheney United States 10 402 0.7× 209 0.4× 329 0.8× 20 0.1× 176 0.6× 14 2.2k
Gregory E. Fasshauer United States 25 1.0k 1.7× 1.7k 3.2× 216 0.6× 104 0.3× 168 0.5× 60 2.7k
Michael A. Malcolm Canada 9 258 0.4× 164 0.3× 297 0.8× 30 0.1× 106 0.3× 14 2.7k
Kurt Georg United States 16 699 1.2× 223 0.4× 1.0k 2.6× 21 0.1× 141 0.4× 31 3.1k
Wei Cai United States 28 496 0.8× 296 0.6× 195 0.5× 27 0.1× 164 0.5× 148 2.5k

Countries citing papers authored by M. Avellaneda

Since Specialization
Citations

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

Fields of papers citing papers by M. Avellaneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Avellaneda

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

All Works

19 of 19 papers shown
1.
Avellaneda, M. & Andrew C. Papanicolaou. (2018). STATISTICS OF VIX FUTURES AND APPLICATIONS TO TRADING VOLATILITY EXCHANGE-TRADED PRODUCTS. International Journal of Theoretical and Applied Finance. 22(1). 1850061–1850061. 5 indexed citations
2.
Berlyand, Leonid, et al.. (2000). Frequency-Dependent Acoustics of Composites with Interfaces. SIAM Journal on Applied Mathematics. 60(6). 2143–2181. 9 indexed citations
3.
Avellaneda, M., et al.. (2000). A Bayesian approach for constructing implied volatility surfaces through neural networks. The Journal of Computational Finance. 4(1). 83–107. 7 indexed citations
4.
Davis, Geoffrey M., Stéphane Mallat, & M. Avellaneda. (1997). Adaptive greedy approximations. Constructive Approximation. 13(1). 57–98. 768 indexed citations breakdown →
5.
Avellaneda, M., et al.. (1996). A complete characterization of the possible bulk and shear moduli of planar polycrystals. Journal of the Mechanics and Physics of Solids. 44(7). 1179–1218. 36 indexed citations
6.
Avellaneda, M., et al.. (1995). Pricing and hedging derivative securities in markets with uncertain volatilities. Applied Mathematical Finance. 2(2). 73–88. 373 indexed citations
7.
Avellaneda, M., et al.. (1995). PDFs for velocity and velocity gradients in Burgers’ turbulence. Physics of Fluids. 7(12). 3067–3071. 16 indexed citations
8.
Avellaneda, M. & Massimo Vergassola. (1995). Stieltjes integral representation of effective diffusivities in time-dependent flows. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 52(3). 3249–3251. 26 indexed citations
9.
Alama, Stan, M. Avellaneda, Percy Deift, & Rainer Hempel. (1994). On the existence of eigenvalues of a divergence-form operator A+λB in a gap of σ(A). Asymptotic Analysis. 8(4). 311–344. 16 indexed citations
10.
Achdou, Yves & M. Avellaneda. (1992). Influence of pore roughness and pore-size dispersion in estimating the permeability of a porous medium from electrical measurements. Physics of Fluids A Fluid Dynamics. 4(12). 2651–2673. 36 indexed citations
11.
Avellaneda, M. & Salvatore Torquato. (1991). Rigorous link between fluid permeability, electrical conductivity, and relaxation times for transport in porous media. Physics of Fluids A Fluid Dynamics. 3(11). 2529–2540. 184 indexed citations
12.
Avellaneda, M., et al.. (1991). Lp bounds on singular integrals in homogenization. Communications on Pure and Applied Mathematics. 44(8-9). 897–910. 79 indexed citations
13.
Avellaneda, M., et al.. (1991). Diffusion and geometric effects in passive advection by random arrays of vortices. Physics of Fluids A Fluid Dynamics. 3(8). 1880–1891. 8 indexed citations
14.
Torquato, Salvatore & M. Avellaneda. (1991). Diffusion and reaction in heterogeneous media: Pore size distribution, relaxation times, and mean survival time. The Journal of Chemical Physics. 95(9). 6477–6489. 106 indexed citations
15.
Avellaneda, M., et al.. (1991). Finite difference approximations for partial differential equations with rapidly oscillating coefficients. ESAIM Mathematical Modelling and Numerical Analysis. 25(6). 693–710. 16 indexed citations
16.
Avellaneda, M. & Graeme W. Milton. (1988). Bounds on the effective elasticity tensor of composites based on two-point correlations. 89–93. 27 indexed citations
17.
Avellaneda, M., Andrej Cherkaev, K. A. Lurie, & Graeme W. Milton. (1988). On the effective conductivity of polycrystals and a three-dimensional phase-interchange inequality. Journal of Applied Physics. 63(10). 4989–5003. 99 indexed citations
18.
Avellaneda, M.. (1987). Optimal Bounds and Microgeometries for Elastic Two-Phase Composites. SIAM Journal on Applied Mathematics. 47(6). 1216–1228. 132 indexed citations
19.
Avellaneda, M.. (1987). Iterated homogenization, differential effective medium theory and applications. Communications on Pure and Applied Mathematics. 40(5). 527–554. 108 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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