Alexander D. Veit
Impact in
- Computational Mathematics top 10%
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- Electromagnetic Scattering and Analysis
Papers in
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- Numerical methods in engineering 8
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- Tensor decomposition and applications 3
- Co-authors
- Stefan Sauter (8 shared papers)Lehel Banjai (1 shared paper)Jonas Ballani (1 shared paper)Boris N. Khoromskij (2 shared papers)Larkin Ridgway Scott (1 shared paper)Isidro Cortés‐Ciriano (1 shared paper)Kathleen H. Burns (1 shared paper)Chong Chu (1 shared paper)
- Journals
- Numerische Mathematik (3 papers)Nature Communications (3 papers)IMA Journal of Numerical Analysis (2 papers)Computational Methods in Applied Mathematics (2 papers)International Journal for Numerical Methods in Engineering (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Alexander D. Veit
17 papers receiving 199 citations
Peers
Comparison fields: 5 of 45
- Computational Mathematics 9
- Atomic and Molecular Physics, and Optics 82
- Mechanics of Materials 60
- Numerical Analysis 11
- Electrical and Electronic Engineering 72
Countries citing papers authored by Alexander D. Veit
This map shows the geographic impact of Alexander D. 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 D. 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 D. Veit more than expected).
Fields of papers citing papers by Alexander D. Veit
This network shows the impact of papers produced by Alexander D. 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 D. Veit. The network helps show where Alexander D. Veit may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander D. Veit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2012 | 25 | |
| 3 | 2013 | 19 | |
| 4 | 2012 | 18 | |
| 5 | 2023 | 17 | |
| 6 | 2001 | 13 | |
| 7 | 2015 | 9 | |
| 8 | 2015 | 7 | |
| 9 | 2017 | 5 | |
| 10 | 2025 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2022 | 2 | |
| 16 | Convolution quadrature for time-dependent Maxwell equations | 2008 | 1 |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Alexander D. Veit
Alexander D. Veit is a scholar working on Mechanics of Materials, Computational Mathematics, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Computational Mechanics, having authored 18 papers that have together received 211 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (9 papers), Electromagnetic Scattering and Analysis (9 papers), Numerical methods in engineering (8 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Tensor decomposition and applications (3 papers), Genomics and Chromatin Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Computational Mathematics (9 citations), Atomic and Molecular Physics, and Optics (82 citations), Mechanics of Materials (60 citations), Numerical Analysis (11 citations) and Electrical and Electronic Engineering (72 citations). Alexander D. Veit has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Stefan Sauter, Lehel Banjai, Jonas Ballani, Boris N. Khoromskij, Larkin Ridgway Scott, Isidro Cortés‐Ciriano, Kathleen H. Burns, Chong Chu, Peter J. Park and Eric W. Lin. Their work appears in journals such as Numerische Mathematik, Nature Communications, IMA Journal of Numerical Analysis, Computational Methods in Applied Mathematics and International Journal for Numerical Methods in Engineering.
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.