Maddegedara Lalith

721 citations
68 papers · 437 indexed · h-index 10
Topics
Advanced Numerical Methods in Computational Mathematics (11 papers)Fluid Dynamics Simulations and Interactions (9 papers)Seismic Imaging and Inversion Techniques (9 papers)

In The Last Decade

Maddegedara Lalith

55 papers receiving 414 citations

Peers

Maddegedara Lalith
Comparison fields: 5 of 60
  • Geophysics 159
  • Civil and Structural Engineering 111
  • Computational Mechanics 71
  • Artificial Intelligence 49
  • Ocean Engineering 46
Replace Tsuyoshi Ichimura with:
Tsuyoshi Ichimura Japan
Kohei Fujita Japan
Hesheng Bao Netherlands
Xiaolin Cao China
Roland Masson France
Joakim Beck Saudi Arabia
Héctor Klíe United States
Guoliang Zhang China
Tarun Kumar Agarwal India
Philipp Witte United States
Maddegedara Lalith relative to Tsuyoshi Ichimura Japan Tsuyoshi Ichimura's profile →
Citations per field
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Tsuyoshi Ichimura · 1×
Citations per year

Countries citing papers authored by Maddegedara Lalith

Since Specialization
Citations

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

Fields of papers citing papers by Maddegedara Lalith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maddegedara Lalith

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

All Works

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A low velocity zone revealed by 3D prestack depth imaging of the Nankai subduction zone off Kii Peninsula, southeast Japan
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About Maddegedara Lalith

Maddegedara Lalith is a scholar working on Numerical Analysis, Computational Mechanics and Civil and Structural Engineering, having authored 68 papers that have together received 437 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (11 papers), Fluid Dynamics Simulations and Interactions (9 papers) and Seismic Imaging and Inversion Techniques (9 papers). The work is most often cited by research in Geophysics (159 citations), Civil and Structural Engineering (111 citations) and Hardware and Architecture (32 citations). Maddegedara Lalith has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Muneo Hori, Tsuyoshi Ichimura, Kohei Fujita, Seizo Tanaka, Takane Hori, Leonel Aguilar, Yoshio Fukao, Gregory F. Moore, Asahiko Taira and Nathan L. Bangs. Their work appears in journals such as Geology, Journal of the Mechanics and Physics of Solids and Earthquake Engineering & Structural Dynamics.

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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