M. Avellaneda

19 papers receiving 1.9k citations

M. Avellaneda's Hit Papers

Adaptive greedy approximations 1997 · 768 citations
7680+9+19Years since publication250500750

Peers

M. Avellaneda
Comparison fields: 5 of 109
  • Finance 351
  • Computational Mechanics 598
  • Computational Theory and Mathematics 391
  • Mechanics of Materials 526
  • Signal Processing 222
Replace Haomin Zhou with:
Haomin Zhou United States
B. F. Logan United States
S. O. Rice United States
Wei Cai United States
Ward Cheney United States
Gregory E. Fasshauer United States
Shahar Mendelson Australia
Germund Dahlquist Sweden
Robert Piessens Belgium
Jerome Spanier United States
M. Avellaneda relative to Haomin Zhou United States Haomin Zhou's profile →
Citations per field
00.5×4.6×
Haomin Zhou · 1×
Citations per year

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-authors

The 19 scholars most cited alongside M. Avellaneda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Avellaneda Line = papers co-authored together M. Avellaneda links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Adaptive greedy approximations
Hit paper breakdown →
1997768
2 1995373
3 1991184
4 1987132
5 1987108
6 1991106
7 198899
8 199179
9 199636
10 199236
11
Bounds on the effective elasticity tensor of composites based on two-point correlations
198827
12 199526
13 199516
14 199416
15 199116
16 20009
17 19918
18 20007
19 20185

About M. Avellaneda

M. Avellaneda is a scholar working on Mechanics of Materials, Computational Theory and Mathematics, Biomedical Engineering, Computational Mechanics and Mathematical Physics, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Composite Material Mechanics (8 papers), Advanced Mathematical Modeling in Engineering (8 papers), NMR spectroscopy and applications (3 papers), Numerical methods in inverse problems (3 papers), Acoustic Wave Phenomena Research (3 papers), Elasticity and Material Modeling (3 papers), Fluid Dynamics and Turbulent Flows (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Finance (351 citations), Computational Mechanics (598 citations), Computational Theory and Mathematics (391 citations), Mechanics of Materials (526 citations) and Signal Processing (222 citations). M. Avellaneda has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Geoffrey M. Davis, Stéphane Mallat, Salvatore Torquato, Arnon Levy, Graeme W. Milton, K. A. Lurie, Andrej Cherkaev, Yves Achdou, Massimo Vergassola and Mark Rudelson. Their work appears in journals such as SIAM Journal on Applied Mathematics, Communications on Pure and Applied Mathematics, Journal of the Mechanics and Physics of Solids, The Journal of Computational Finance and International Journal of Theoretical and Applied Finance.

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.

Explore authors with similar magnitude of impact