P. Lamichhane

6.6k total citations
76 papers, 623 citations indexed

About

P. Lamichhane is a scholar working on Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, P. Lamichhane has authored 76 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mechanics, 30 papers in Mechanics of Materials and 16 papers in Computational Theory and Mathematics. Recurrent topics in P. Lamichhane's work include Advanced Numerical Methods in Computational Mathematics (39 papers), Numerical methods in engineering (26 papers) and Advanced Mathematical Modeling in Engineering (12 papers). P. Lamichhane is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (39 papers), Numerical methods in engineering (26 papers) and Advanced Mathematical Modeling in Engineering (12 papers). P. Lamichhane collaborates with scholars based in Australia, Germany and United Kingdom. P. Lamichhane's co-authors include Barbara Wohlmuth, Michael H. Meylan, B.D. Reddy, Luke G. Bennetts, Ernst P. Stephan, Rob Stevenson, J.K. Djoko, Ngamta Thamwattana, Jérôme Droniou and Thien Tran‐Duc and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

P. Lamichhane

69 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Lamichhane Australia 15 366 307 131 97 80 76 623
Nicolas Chevaugeon France 17 894 2.4× 543 1.8× 80 0.6× 55 0.6× 99 1.2× 36 1.3k
Xesús Nogueira Spain 18 888 2.4× 174 0.6× 108 0.8× 40 0.4× 44 0.6× 53 1.1k
Marc Fehling United States 6 228 0.6× 132 0.4× 68 0.5× 62 0.6× 66 0.8× 10 493
Vladimir Kozlov Sweden 19 256 0.7× 353 1.1× 677 5.2× 76 0.8× 52 0.7× 121 1.2k
Petr N. Vabishchevich Russia 14 359 1.0× 211 0.7× 243 1.9× 53 0.5× 44 0.6× 92 717
Kristian B. Ølgaard Denmark 3 181 0.5× 83 0.3× 66 0.5× 43 0.4× 59 0.7× 5 444
E.F. Kaasschieter Netherlands 12 274 0.7× 113 0.4× 139 1.1× 50 0.5× 68 0.8× 31 585
K. Gerdes Switzerland 14 273 0.7× 316 1.0× 78 0.6× 96 1.0× 325 4.1× 27 614
Farzin Shakib United States 14 1.1k 3.1× 186 0.6× 202 1.5× 64 0.7× 97 1.2× 19 1.3k
Mazen Saad France 15 569 1.6× 82 0.3× 333 2.5× 59 0.6× 42 0.5× 69 956

Countries citing papers authored by P. Lamichhane

Since Specialization
Citations

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

Fields of papers citing papers by P. Lamichhane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Lamichhane

This figure shows the co-authorship network connecting the top 25 collaborators of P. Lamichhane. A scholar is included among the top collaborators of P. Lamichhane 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 P. Lamichhane. P. Lamichhane 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
1.
Lamichhane, P., et al.. (2025). A time fractional advection-diffusion approach to air pollution: Modeling and analyzing pollutant dispersion dynamics. Partial Differential Equations in Applied Mathematics. 14. 101149–101149. 1 indexed citations
2.
3.
4.
Mursaleen, M., P. Lamichhane, Adem Kılıçman, & Norazak Senu. (2024). On ɠ-statistical approximation of wavelets aided Kantorovich ɠ-Baskakov operators. Filomat. 38(9). 3261–3274. 4 indexed citations
5.
Nesbitt, Keith, et al.. (2023). Classifying coke using CT scans and landmark multidimensional scaling. International Journal of Coal Science & Technology. 10(1). 10 indexed citations
6.
Ramadan, Saadallah, John B. Simpson, Jameen Arm, et al.. (2022). Determination of hepatic extraction fraction with gadoxetate low‐temporal resolution DCE‐MRI‐based deconvolution analysis: validation with ALBI score and Child‐Pugh class. Journal of Medical Radiation Sciences. 70(S2). 48–58. 2 indexed citations
7.
Lamichhane, P., et al.. (2022). Connectivity aware simulated annealing kernel methods for coke microstructure generation. ANZIAM Journal. 63. C123–C137.
8.
Rao, Nadeem, et al.. (2022). On One- and Two-Dimensional α–Stancu–Schurer–Kantorovich Operators and Their Approximation Properties. Mathematics. 10(18). 3227–3227. 15 indexed citations
9.
Buhl, Camille, et al.. (2021). Modelling locust foraging: How and why food affects group formation. PLoS Computational Biology. 17(7). e1008353–e1008353. 12 indexed citations
10.
Meylan, Michael H., et al.. (2020). Coupled Brinkman and Kozeny–Carman model for railway ballast washout using the finite element method. Journal of the Royal Society of New Zealand. 51(2). 375–388. 3 indexed citations
11.
Farrell, Patrick E., et al.. (2020). Mixed Kirchhoff stress–displacement–pressure formulations for incompressible hyperelasticity. Computer Methods in Applied Mechanics and Engineering. 374. 113562–113562. 11 indexed citations
12.
Lamichhane, P., et al.. (2018). Higher order FEM for the obstacle problem of the p-Laplacian—A variational inequality approach. Computers & Mathematics with Applications. 76(7). 1639–1660. 7 indexed citations
13.
Lamichhane, P., et al.. (2017). A gradient recovery method based on an oblique projection and boundary modification. ANZIAM Journal. 58. 34–34. 3 indexed citations
14.
Lamichhane, P.. (2014). A new stabilization technique for the nonconforming Crouzeix–Raviart element applied to linear elasticity. Applied Mathematics Letters. 39. 35–41. 4 indexed citations
15.
Lamichhane, P.. (2013). A mixed finite element method for nearly incompressible elasticity and Stokes equations using primal and dual meshes with quadrilateral and hexahedral grids. Journal of Computational and Applied Mathematics. 260. 356–363. 8 indexed citations
16.
Lamichhane, P., Stephen Roberts, & Markus Hegland. (2013). A new multivariate spline based on mixed partial derivatives and its finite element approximation. Applied Mathematics Letters. 35. 82–85.
17.
Anderssen, Robert, et al.. (2011). Piecewise constant aquifer parameter identification recovery. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
18.
Lamichhane, P.. (2011). A stabilized mixed finite element method for the biharmonic equation based on biorthogonal systems. Journal of Computational and Applied Mathematics. 235(17). 5188–5197. 19 indexed citations
19.
Lamichhane, P.. (2010). A gradient recovery operator based on an oblique projection.. NOVA (University of Newcastle, Australia). 37. 166–172. 3 indexed citations
20.
Lamichhane, P.. (2009). Mortar Finite Elements for Coupling Compressible and Nearly Incompressible Materials in Elasticity. ANU Open Research (Australian National University). 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nicolas Chevaugeon Breakdown of academic impact, for papers by Xesús Nogueira Breakdown of academic impact, for papers by Marc Fehling Breakdown of academic impact, for papers by Vladimir Kozlov Breakdown of academic impact, for papers by Petr N. Vabishchevich Breakdown of academic impact, for papers by Kristian B. Ølgaard Breakdown of academic impact, for papers by E.F. Kaasschieter Breakdown of academic impact, for papers by K. Gerdes Breakdown of academic impact, for papers by Farzin Shakib Breakdown of academic impact, for papers by Mazen Saad
Rankless by CCL
2026