Alexander Veit

434 total citations
10 papers, 108 citations indexed

About

Alexander Veit is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Alexander Veit has authored 10 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Mechanics of Materials and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Alexander Veit's work include Electromagnetic Simulation and Numerical Methods (8 papers), Electromagnetic Scattering and Analysis (7 papers) and Numerical methods in engineering (7 papers). Alexander Veit is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (8 papers), Electromagnetic Scattering and Analysis (7 papers) and Numerical methods in engineering (7 papers). Alexander Veit collaborates with scholars based in Switzerland, United States and Germany. Alexander Veit's co-authors include Stefan Sauter, Lehel Banjai, Jonas Ballani, Boris N. Khoromskij, L. Ridgway Scott, Kathleen H. Burns, David T. Ting, Isidro Cortés‐Ciriano, Chong Chu and Peter J. Park and has published in prestigious journals such as Nucleic Acids Research, International Journal for Numerical Methods in Engineering and SIAM Journal on Scientific Computing.

In The Last Decade

Alexander Veit

10 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Veit Switzerland	7	72	69	57	20	10	10	108
S. V. Nepomnyaschikh Russia	5	18 0.3×	29 0.4×	56 1.0×	87 4.3×	53 5.3×	15	96
Cho-Kuen Ng United States	6	38 0.5×	59 0.9×	6 0.1×	12 0.6×	6 0.6×	17	90
M. Sugihara Japan	3	38 0.5×	19 0.3×	3 0.1×	12 0.6×	40 4.0×	4	63
Y. J. Leung United States	10	38 0.5×	9 0.1×	12 0.2×	6 0.3×	111 11.1×	31	286
M. Nikitin Russia	7	43 0.6×	24 0.3×	7 0.1×	9 0.5×	1 0.1×	15	125
G. Temple United Kingdom	2	10 0.1×	8 0.1×	19 0.3×	11 0.6×	65 6.5×	4	125
Hengxin Sun China	8	146 2.0×	53 0.8×	3 0.1×	6 0.3×	2 0.2×	29	168
A. Manabe Japan	6	19 0.3×	30 0.4×	11 0.2×	3 0.1×	1 0.1×	24	142
S. Zhang China	5	72 1.0×	28 0.4×	3 0.1×	11 0.6×	1 0.1×	8	114
M.J. Phillips United Kingdom	3	32 0.4×	40 0.6×	4 0.1×	5 0.3×		3	75

Countries citing papers authored by Alexander Veit

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Veit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Veit

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

All Works

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10 of 10 papers shown

1.

Chu, Chong, Eric W. Lin, Hu Jin, et al.. (2023). The landscape of human SVA retrotransposons. Nucleic Acids Research. 51(21). 11453–11465. 12 indexed citations

2.

Sauter, Stefan, et al.. (2022). Solvability of discrete Helmholtz equations. IMA Journal of Numerical Analysis. 43(3). 1802–1830. 2 indexed citations

3.

Veit, Alexander & L. Ridgway Scott. (2017). Using the Tensor-Train Approach to Solve the Ground-State Eigenproblem for Hydrogen Molecules. SIAM Journal on Scientific Computing. 39(1). B190–B220. 6 indexed citations

4.

Sauter, Stefan & Alexander Veit. (2015). Adaptive time discretization for retarded potentials. Numerische Mathematik. 132(3). 569–595. 9 indexed citations

5.

Veit, Alexander, et al.. (2015). Efficient solution of time‐domain boundary integral equations arising in sound‐hard scattering. International Journal for Numerical Methods in Engineering. 107(5). 430–449. 6 indexed citations

6.

Sauter, Stefan & Alexander Veit. (2013). Retarded boundary integral equations on the sphere: exact and numerical solution. IMA Journal of Numerical Analysis. 34(2). 675–699. 16 indexed citations

7.

Sauter, Stefan & Alexander Veit. (2012). A Galerkin method for retarded boundary integral equations with smooth and compactly supported temporal basis functions. Numerische Mathematik. 123(1). 145–176. 26 indexed citations

8.

Ballani, Jonas, Lehel Banjai, Stefan Sauter, & Alexander Veit. (2012). Numerical solution of exterior Maxwell problems by Galerkin BEM and Runge–Kutta convolution quadrature. Numerische Mathematik. 123(4). 643–670. 18 indexed citations

9.

Veit, Alexander. (2008). Convolution quadrature for time-dependent Maxwell equations. 2 indexed citations

10.

Khoromskij, Boris N., Stefan Sauter, & Alexander Veit. (2001). Fast Quadrature Techniques for Retarded Potentials Based on TT/QTT Tensor Approximation. Computational Methods in Applied Mathematics. 11(3). 342–362. 11 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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