L.Gr. Ixaru

2.8k total citations
61 papers, 2.2k citations indexed

About

L.Gr. Ixaru is a scholar working on Numerical Analysis, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, L.Gr. Ixaru has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Numerical Analysis, 22 papers in Electrical and Electronic Engineering and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in L.Gr. Ixaru's work include Numerical methods for differential equations (34 papers), Electromagnetic Simulation and Numerical Methods (19 papers) and Matrix Theory and Algorithms (11 papers). L.Gr. Ixaru is often cited by papers focused on Numerical methods for differential equations (34 papers), Electromagnetic Simulation and Numerical Methods (19 papers) and Matrix Theory and Algorithms (11 papers). L.Gr. Ixaru collaborates with scholars based in Romania, Belgium and Italy. L.Gr. Ixaru's co-authors include M. Rizea, G. Vanden Berghe, H. De Meyer, Beatrice Paternoster, Maarten Van Daele, John P. Coleman, Stefan Berceanu, T. Vertse, Kyung-Joong Kim and Ronald Cools and has published in prestigious journals such as Journal of Computational Physics, Physical Review A and Computer Physics Communications.

In The Last Decade

L.Gr. Ixaru

61 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.Gr. Ixaru Romania 26 1.8k 841 724 504 477 61 2.2k
G. Vanden Berghe Belgium 29 1.5k 0.9× 666 0.8× 603 0.8× 420 0.8× 461 1.0× 95 2.1k
M. P. Calvo Spain 18 1.3k 0.7× 417 0.5× 419 0.6× 739 1.5× 484 1.0× 39 1.8k
Sergio Blanes Spain 21 991 0.6× 354 0.4× 348 0.5× 398 0.8× 382 0.8× 82 1.6k
Othmar Koch Austria 22 680 0.4× 158 0.2× 242 0.3× 419 0.8× 319 0.7× 78 1.4k
Martin H. Gutknecht Switzerland 20 669 0.4× 182 0.2× 1.0k 1.4× 432 0.9× 247 0.5× 68 1.6k
Erwan Faou France 20 506 0.3× 259 0.3× 175 0.2× 284 0.6× 347 0.7× 73 1.1k
M.A. Hernández Spain 31 2.7k 1.5× 620 0.7× 1.4k 2.0× 297 0.6× 39 0.1× 246 3.5k
Werner Liniger United States 13 632 0.4× 257 0.3× 390 0.5× 336 0.7× 397 0.8× 42 2.7k
Stefan Güttel United Kingdom 18 450 0.3× 281 0.3× 582 0.8× 203 0.4× 259 0.5× 53 1.1k
Moawwad El-Mikkawy Egypt 18 568 0.3× 339 0.4× 593 0.8× 149 0.3× 298 0.6× 52 1.1k

Countries citing papers authored by L.Gr. Ixaru

Since Specialization
Citations

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

Fields of papers citing papers by L.Gr. Ixaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.Gr. Ixaru. 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 L.Gr. Ixaru. The network helps show where L.Gr. Ixaru may publish in the future.

Co-authorship network of co-authors of L.Gr. Ixaru

This figure shows the co-authorship network connecting the top 25 collaborators of L.Gr. Ixaru. A scholar is included among the top collaborators of L.Gr. Ixaru 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 L.Gr. Ixaru. L.Gr. Ixaru 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.
Ixaru, L.Gr.. (2023). Exponential fitting for interpolation of oscillatory functions. A numerical approach. Journal of Computational and Applied Mathematics. 437. 115479–115479. 1 indexed citations
2.
Mashayekhi, Somayeh & L.Gr. Ixaru. (2020). The least-squares fit of highly oscillatory functions using Eta-based functions. Journal of Computational and Applied Mathematics. 376. 112839–112839. 6 indexed citations
3.
Ixaru, L.Gr.. (2020). Numerical computation of the coefficients in exponential fitting. Numerical Algorithms. 87(3). 1097–1106. 4 indexed citations
4.
Conte, Dajana, et al.. (2013). Exponentially-fitted Gauss–Laguerre quadrature rule for integrals over an unbounded interval. Journal of Computational and Applied Mathematics. 255. 725–736. 13 indexed citations
5.
Ixaru, L.Gr.. (2010). New numerical method for the eigenvalue problem of the 2D Schrödinger equation. Computer Physics Communications. 181(10). 1738–1742. 9 indexed citations
6.
Conte, Dajana, E. Esposito, Beatrice Paternoster, & L.Gr. Ixaru. (2009). Some new uses of the η m ( Z ) functions. Computer Physics Communications. 181(1). 128–137. 15 indexed citations
7.
Ixaru, L.Gr. & M. P. Scott. (2006). Fast Computation of the Slater Integrals. SIAM Journal on Scientific Computing. 28(4). 1252–1274. 7 indexed citations
8.
Kim, Kyung-Joong, Ronald Cools, & L.Gr. Ixaru. (2002). Quadrature rules using first derivatives for oscillatory integrands. Journal of Computational and Applied Mathematics. 140(1-2). 479–497. 21 indexed citations
9.
Ixaru, L.Gr., G. Vanden Berghe, & H. De Meyer. (2002). Frequency evaluation in exponential fitting multistep algorithms for ODEs. Journal of Computational and Applied Mathematics. 140(1-2). 423–434. 85 indexed citations
10.
Ixaru, L.Gr.. (2001). Numerical operations on oscillatory functions. Computers & Chemistry. 25(1). 39–53. 49 indexed citations
11.
Ixaru, L.Gr., M. Rizea, G. Vanden Berghe, & H. De Meyer. (2001). Weights of the exponential fitting multistep algorithms for first-order ODEs. Journal of Computational and Applied Mathematics. 132(1). 83–93. 63 indexed citations
12.
Berghe, G. Vanden, L.Gr. Ixaru, & H. De Meyer. (2001). Frequency determination and step-length control for exponentially-fitted Runge–Kutta methods. Journal of Computational and Applied Mathematics. 132(1). 95–105. 46 indexed citations
13.
Ixaru, L.Gr.. (2000). CP methods for the Schrödinger equation. Journal of Computational and Applied Mathematics. 125(1-2). 347–357. 26 indexed citations
14.
Ixaru, L.Gr., H. De Meyer, & G. Vanden Berghe. (2000). Highly accurate eigenvalues for the distorted Coulomb potential. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 61(3). 3151–3159. 18 indexed citations
15.
Ixaru, L.Gr. & Beatrice Paternoster. (1999). A conditionally P-stable fourth-order exponential-fitting method for y″=f(x,y). Journal of Computational and Applied Mathematics. 106(1). 87–98. 60 indexed citations
16.
Ixaru, L.Gr., H. De Meyer, & G. Vanden Berghe. (1998). CP methods for the Schrödinger equation revisited. Journal of Computational and Applied Mathematics. 88(2). 289–314. 33 indexed citations
17.
Ixaru, L.Gr. & M. Rizea. (1997). Four step methods for y″=f(x, y). Journal of Computational and Applied Mathematics. 79(1). 87–99. 49 indexed citations
18.
Ixaru, L.Gr.. (1984). Numerical methods for differential equations and applications. 113 indexed citations
19.
Ixaru, L.Gr.. (1980). A highly convergent perturbative method for the solution of systems of coupled equations arising from the Schrödinger equation. Journal of Computational Physics. 36(2). 182–197. 2 indexed citations
20.
Ixaru, L.Gr.. (1972). The error analysis of the algebraic method for solving the Schrödinger equation. Journal of Computational Physics. 9(1). 159–163. 18 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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