Maddegedara Lalith

721 total citations
68 papers, 437 citations indexed

About

Maddegedara Lalith is a scholar working on Civil and Structural Engineering, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, Maddegedara Lalith has authored 68 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 21 papers in Computational Mechanics and 15 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, Asahiko Taira, Jin‐Oh Park, Yoshio Fukao, Gregory F. Moore and Leonel Aguilar and has published in prestigious journals such as Geology, Journal of the Mechanics and Physics of Solids and Earthquake Engineering & Structural Dynamics.

In The Last Decade

Maddegedara Lalith

55 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maddegedara Lalith Japan 10 159 111 71 49 46 68 437
Tsuyoshi Ichimura Japan 14 275 1.7× 229 2.1× 88 1.2× 102 2.1× 70 1.5× 113 703
Kohei Fujita Japan 11 168 1.1× 92 0.8× 89 1.3× 52 1.1× 11 0.2× 56 448
Hesheng Bao Netherlands 8 151 0.9× 97 0.9× 157 2.2× 19 0.4× 37 0.8× 18 454
Guoliang Zhang China 15 59 0.4× 198 1.8× 87 1.2× 24 0.5× 38 0.8× 50 611
Xiaolin Cao China 13 124 0.8× 116 1.0× 49 0.7× 28 0.6× 19 0.4× 60 600
Joakim Beck Saudi Arabia 10 106 0.7× 39 0.4× 59 0.8× 35 0.7× 15 0.3× 23 400
L. Ramirez-Guzmán United States 16 555 3.5× 330 3.0× 32 0.5× 76 1.6× 19 0.4× 30 787
Feng Pan China 13 44 0.3× 66 0.6× 57 0.8× 93 1.9× 35 0.8× 100 645
Tayfun Akgül Türkiye 11 120 0.8× 28 0.3× 17 0.2× 70 1.4× 36 0.8× 56 402
Shu Li China 12 110 0.7× 21 0.2× 15 0.2× 52 1.1× 85 1.8× 47 433

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

20 of 20 papers shown
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2.
Lalith, Maddegedara, et al.. (2024). Analysis of postdisaster economy using high‐resolution disaster and economy simulations. Risk Analysis. 45(6). 1254–1270. 1 indexed citations
3.
Hori, Muneo, et al.. (2024). THIN SHELL THEORY CONSISTENT WITH CONTINUUM MECHANICS. Journal of JSCE. 12(1). n/a–n/a.
4.
Hori, Muneo, et al.. (2023). DERIVATION OF EULER BUCKLING EQUATION FROM CONTINUUM AT FINITE DEFORMATION STATE. Journal of JSCE. 11(1). n/a–n/a.
5.
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7.
Iryo, Takamasa, et al.. (2022). On Computational Costs for Monte Carlo Regional-Scale Simulation for Reliable Estimate of City and Urban Area Earthquake Disaster. Journal of Earthquake and Tsunami. 16(3). 3 indexed citations
8.
Fujita, Kohei, Tsuyoshi Ichimura, Takane Hori, et al.. (2022). Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method. 18–25.
9.
Ichimura, Tsuyoshi, et al.. (2022). Fast Data-Centric Optimization of Nonlinear Dynamic Flows on Network System Suited for Big-Data and Extreme Computing. Journal of Advances in Information Technology. 13(2).
10.
Yamaguchi, Takuma, Kohei Fujita, Tsuyoshi Ichimura, et al.. (2020). Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation. 1–11. 4 indexed citations
11.
Fujita, Kohei, Kazuo Minami, Hikaru Inoue, et al.. (2020). High-fidelity nonlinear low-order unstructured implicit finite-element seismic simulation of important structures by accelerated element-by-element method. Journal of Computational Science. 49. 101277–101277. 8 indexed citations
12.
Ichimura, Tsuyoshi, et al.. (2020). A Fast Scalable Iterative Implicit Solver with Green’s function-based Neural Networks. 375. 61–68. 2 indexed citations
13.
Lalith, Maddegedara, et al.. (2019). Interaction of horizontally aligned coplanar 3D penny cracks under compression. Journal of the Mechanics and Physics of Solids. 131. 180–203. 5 indexed citations
14.
Yamaguchi, Takuma, Kohei Fujita, Tsuyoshi Ichimura, et al.. (2017). Fast Finite Element Analysis Method Using Multiple GPUs for Crustal Deformation and its Application to Stochastic Inversion Analysis with Geometry Uncertainty. Procedia Computer Science. 108. 765–775. 9 indexed citations
15.
Fujita, Kohei, Takuma Yamaguchi, Tsuyoshi Ichimura, Muneo Hori, & Maddegedara Lalith. (2016). Acceleration of Element-by-Element Kernel in Unstructured Implicit Low-Order Finite-Element Earthquake Simulation Using OpenACC on Pascal GPUs. 48. 1–12. 1 indexed citations
16.
Fujita, Kohei, Yoshihiro Yamazaki, Tsuyoshi Ichimura, et al.. (2015). Practical Method for Damage Evaluation Based on Point Estimate Considering Uncertainty of Structural Properties. Applied Mechanics and Materials. 802. 255–260. 1 indexed citations
17.
Lalith, Maddegedara, et al.. (2015). Simulation of cracks in linear elastic solids using higher order Particle Discretization Scheme-FEM. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 71(2). I_327–I_337. 2 indexed citations
18.
Lalith, Maddegedara, Leonel Aguilar, Muneo Hori, Tsuyoshi Ichimura, & Seizo Tanaka. (2013). On the Development of Multi Agent System for Large Urban Area Evacuation with Autonomous Navigation. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 69(2). I_447–I_456. 1 indexed citations
19.
Hori, Muneo, et al.. (2011). ENHANCEMENT OF INTEGRATED EARTHQUAKE SIMULATION WITH HIGH-PERFORMANCE COMPUTING. Journal of Earthquake and Tsunami. 5(3). 271–282. 4 indexed citations
20.
Moore, Gregory F., Gou Fujie, Maddegedara Lalith, et al.. (2008). A low velocity zone revealed by 3D prestack depth imaging of the Nankai subduction zone off Kii Peninsula, southeast Japan. AGUFM. 2008. 1 indexed citations

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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