Maddegedara Lalith

131 total papers · 718 total citations
70 papers, 439 citations indexed

About

Maddegedara Lalith is a scholar working on Computational Mechanics, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Maddegedara Lalith has authored 70 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 21 papers in Civil and Structural Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Maddegedara Lalith's 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). Maddegedara Lalith is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (11 papers), Fluid Dynamics Simulations and Interactions (9 papers) and Seismic Imaging and Inversion Techniques (9 papers). Maddegedara Lalith collaborates with scholars based in Japan, United States and Switzerland. Maddegedara Lalith's co-authors include Muneo Hori, Tsuyoshi Ichimura, Kohei Fujita, Seizo Tanaka, Takane Hori, Yoshio Fukao, Gou Fujie, Asahiko Taira, Leonel Aguilar and Shin’ichi Kuramoto and has published in prestigious journals such as Geology, Journal of the Mechanics and Physics of Solids and Risk Analysis.

In The Last Decade

Maddegedara Lalith

57 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maddegedara Lalith 160 110 71 49 46 70 439
Kohei Fujita 166 1.0× 91 0.8× 90 1.3× 51 1.0× 11 0.2× 56 446
Seizo Tanaka 50 0.3× 89 0.8× 109 1.5× 20 0.4× 34 0.7× 39 430
Takumi Ichimura 78 0.5× 91 0.8× 33 0.5× 172 3.5× 49 1.1× 101 495
Joakim Beck 104 0.7× 38 0.3× 61 0.9× 34 0.7× 15 0.3× 23 394
Feng Chen 40 0.3× 77 0.7× 61 0.9× 41 0.8× 135 2.9× 46 416
Mark S. Gockenbach 32 0.2× 55 0.5× 98 1.4× 21 0.4× 21 0.5× 34 462
James L. Buchanan 107 0.7× 44 0.4× 28 0.4× 9 0.2× 72 1.6× 30 467
Li Tang 104 0.7× 42 0.4× 8 0.1× 126 2.6× 74 1.6× 44 474
Kengo Nakajima 27 0.2× 25 0.2× 132 1.9× 28 0.6× 9 0.2× 75 476
Qifu Wang 29 0.2× 143 1.3× 141 2.0× 25 0.5× 46 1.0× 48 464

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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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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