Maya S deVries

1.1k citations
19 papers · 846 indexed · 1 hit paper · h-index 12

Maya S deVries

19 papers receiving 826 citations

Hit Papers

Terascale direct numerical simulations of turbulent combu...4582009202620142020100200300400

Peers

Maya S deVries
Comparison fields: 5 of 90
  • Fluid Flow and Transfer Processes 236
  • Computational Mechanics 306
  • Hardware and Architecture 75
  • Safety, Risk, Reliability and Quality 88
  • Oceanography 86
Replace Peter Wyckoff with:
Peter Wyckoff United States
Gottfried Sachs Germany
Partha Sharathi Dutta India
Eugene Lubarsky United States
Mengqing Wang China
Thomas Brandes United States
Feng Zhang China
Jörg Stiller Germany
Makoto Okabe Japan
P. B. S. Lissaman United States
Maya S deVries relative to Peter Wyckoff United States Peter Wyckoff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maya S deVries

Since Specialization
Citations

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

Fields of papers citing papers by Maya S deVries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya S deVries. 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 Maya S deVries. The network helps show where Maya S deVries may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Maya S deVries, 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 Maya S deVries Line = papers co-authored together Maya S deVries links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20243
2 20225
3 202219
4 202113
5 201914
6 201965
7 20196
8 20188
9 201722
10 201629
11 201624
12 20161
13 201536
14
The Feeding Morphology and Ecology of Stomatopod Crustaceans
20123
15 201296
16
Terascale direct numerical simulations of turbulent combustion using S3Dbreakdown →
2009458
17
Terascale direct numerical simulations of turbulent combustion using S3D.
20082
18 200822
19 200620

About Maya S deVries

Maya S deVries is a scholar working on Oceanography, Global and Planetary Change, Ecology, Nature and Landscape Conservation and Fluid Flow and Transfer Processes, having authored 19 papers that have together received 846 indexed citations. Recurring topics across this work include Marine and fisheries research (7 papers), Marine Bivalve and Aquaculture Studies (6 papers), Ocean Acidification Effects and Responses (6 papers), Crustacean biology and ecology (4 papers), Physiological and biochemical adaptations (3 papers), Coral and Marine Ecosystems Studies (3 papers), Isotope Analysis in Ecology (3 papers) and Fish Ecology and Management Studies (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (236 citations), Computational Mechanics (306 citations), Hardware and Architecture (75 citations), Safety, Risk, Reliability and Quality (88 citations) and Oceanography (86 citations). Maya S deVries has collaborated with scholars based in United States, Panama and Switzerland. Frequent co-authors include J. H. Chen, Alok Choudhary, John Mellor‐Crummey, Evatt R. Hawkes, Scott Klasky, Wei‐keng Liao, Sameer Shende, Bronis de Supinski, Chun Sang Yoo and Ramanan Sankaran. Their work appears in journals such as Integrative and Comparative Biology, Scientific Reports, Journal of Geophysical Research Atmospheres, Proceedings of the Royal Society B Biological Sciences and Oecologia.

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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