Maya Muthuswamy

1.0k total citations · 1 hit paper
9 papers, 821 citations indexed

About

Maya Muthuswamy is a scholar working on Computational Mechanics, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Maya Muthuswamy has authored 9 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 6 papers in Mechanics of Materials and 5 papers in Civil and Structural Engineering. Recurrent topics in Maya Muthuswamy's work include Granular flow and fluidized beds (9 papers), Geotechnical Engineering and Soil Mechanics (5 papers) and Landslides and related hazards (3 papers). Maya Muthuswamy is often cited by papers focused on Granular flow and fluidized beds (9 papers), Geotechnical Engineering and Soil Mechanics (5 papers) and Landslides and related hazards (3 papers). Maya Muthuswamy collaborates with scholars based in Australia and United States. Maya Muthuswamy's co-authors include Antoinette Tordesillas, John F. Peters, Johannes L. Wibowo and Stuart D.C. Walsh and has published in prestigious journals such as Journal of the Mechanics and Physics of Solids, Journal of Engineering Mechanics and Acta Geotechnica.

In The Last Decade

Maya Muthuswamy

9 papers receiving 804 citations

Hit Papers

Characterization of force chains in granular material 2005 2026 2012 2019 2005 100 200 300 400

Peers

Maya Muthuswamy
Comparison fields: 5 of 59
  • Computational Mechanics 498
  • Management, Monitoring, Policy and Law 391
  • Civil and Structural Engineering 373
  • Mechanics of Materials 264
  • Materials Chemistry 106
Replace Nicolás Estrada with:
Nicolás Estrada Colombia
Matthew R. Kuhn United States
Gaël Combe France
Johannes L. Wibowo United States
Amy L. Rechenmacher United States
Ryan Hurley United States
Daniel W. Howell United States
C.M. Wensrich Australia
Lanhao Zhao China
François Guillard Australia
Nicolás Estrada Colombia View profile →
Citations per field, relative to Maya Muthuswamy
Maya Muthuswamy · 1×
Citations per year, relative to Maya Muthuswamy
Maya Muthuswamy · 1×

Countries citing papers authored by Maya Muthuswamy

Since Specialization
Citations

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

Fields of papers citing papers by Maya Muthuswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Muthuswamy

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 155
2 31
3 76
4 19
5 3
6 96
7 2
8
Characterization of force chains in granular material breakdown →
424
9 15

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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