Daniel Arndt

2.6k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Daniel Arndt is a scholar working on Computational Mechanics, Nuclear and High Energy Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Arndt has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 11 papers in Nuclear and High Energy Physics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Arndt's work include Advanced Numerical Methods in Computational Mathematics (14 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and Particle physics theoretical and experimental studies (9 papers). Daniel Arndt is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (14 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and Particle physics theoretical and experimental studies (9 papers). Daniel Arndt collaborates with scholars based in United States, Germany and Italy. Daniel Arndt's co-authors include Bruno Turcksin, Matthias Maier, Martin Kronbichler, Wolfgang Bangerth, Luca Heltai, David Wells, Brian C. Tiburzi, Jean‐Paul Pelteret, Martin J. Savage and Denis Davydov and has published in prestigious journals such as Nuclear Physics B, Energy Policy and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Daniel Arndt

29 papers receiving 1.5k citations

Hit Papers

Kokkos 3: Programming Model Extensions for the Exascale Era 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Arndt United States 18 528 300 242 162 145 33 1.5k
Bruno Turcksin United States 15 600 1.1× 37 0.1× 299 1.2× 190 1.2× 203 1.4× 26 1.4k
Mario A. Storti Argentina 20 772 1.5× 28 0.1× 169 0.7× 100 0.6× 215 1.5× 129 1.6k
Patrick Amestoy France 8 678 1.3× 33 0.1× 242 1.0× 528 3.3× 405 2.8× 14 1.8k
Robert J. Hoekstra United States 12 367 0.7× 46 0.2× 354 1.5× 216 1.3× 821 5.7× 23 1.5k
Andreas Klöckner United States 9 240 0.5× 40 0.1× 125 0.5× 63 0.4× 280 1.9× 20 914
John W. Peterson United States 16 462 0.9× 46 0.2× 232 1.0× 103 0.6× 204 1.4× 60 1.8k
Daniel Graves United States 11 514 1.0× 87 0.3× 69 0.3× 33 0.2× 68 0.5× 23 1.1k
Jens Lang Germany 21 602 1.1× 29 0.1× 187 0.8× 189 1.2× 260 1.8× 98 1.4k
Jacko Koster United Kingdom 4 723 1.4× 32 0.1× 207 0.9× 653 4.0× 379 2.6× 7 1.8k
Damien Lebrun-Grandié United States 7 145 0.3× 54 0.2× 89 0.4× 40 0.2× 104 0.7× 17 953

Countries citing papers authored by Daniel Arndt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Arndt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Arndt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Arndt. A scholar is included among the top collaborators of Daniel Arndt 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 Daniel Arndt. Daniel Arndt 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.
Arndt, Daniel, Marc Fehling, Luca Heltai, et al.. (2025). The deal.II library, version 9.7. Journal of Numerical Mathematics. 33(4). 403–415.
2.
Stump, Benjamin, et al.. (2025). Toucan: A performance portable, scalable implementation of the DECA algorithm. Computational Materials Science. 251. 113684–113684.
3.
Arndt, Daniel, et al.. (2024). Advances in ArborX to support exascale applications. The International Journal of High Performance Computing Applications. 39(1). 167–176. 2 indexed citations
4.
Arndt, Daniel, Damien Lebrun-Grandié, & Christian Robert Trott. (2024). Experiences with implementing Kokkos’ SYCL backend. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 1 indexed citations
5.
Arndt, Daniel, Wolfgang Bangerth, Marc Fehling, et al.. (2023). The deal.II Library, Version 9.5. Journal of Numerical Mathematics. 31(3). 231–246. 60 indexed citations
6.
Rodrigues, Luiz, Daniel Arndt, Paula T. Palomino, et al.. (2022). Affective Memory in Gamified Learning: A Usability Study. Trepo - Institutional Repository of Tampere University. 585–596. 2 indexed citations
7.
Trott, Christian Robert, Damien Lebrun-Grandié, Daniel Arndt, et al.. (2021). Kokkos 3: Programming Model Extensions for the Exascale Era. IEEE Transactions on Parallel and Distributed Systems. 33(4). 805–817. 226 indexed citations breakdown →
8.
Arndt, Daniel, Wolfgang Bangerth, Bruno Blais, et al.. (2021). The deal.II library, Version 9.3. Journal of Numerical Mathematics. 29(3). 171–186. 100 indexed citations
9.
Arndt, Daniel, Wolfgang Bangerth, Denis Davydov, et al.. (2020). The deal.II finite element library: Design, features, and insights. Computers & Mathematics with Applications. 81. 407–422. 174 indexed citations
10.
Arndt, Daniel, Wolfgang Bangerth, Bruno Blais, et al.. (2020). The deal.II library, Version 9.2. Journal of Numerical Mathematics. 28(3). 131–146. 120 indexed citations
11.
Arndt, Daniel, Wolfgang Bangerth, Denis Davydov, et al.. (2018). The deal.II library, Version 9.0. Journal of Numerical Mathematics. 26(4). 173–183. 113 indexed citations
12.
Plucker, Jonathan A., et al.. (2015). Equal Talents, Unequal Opportunities: A Report Card on State Support for Academically Talented Low-Income Students.. 22 indexed citations
13.
Arndt, Daniel, et al.. (2015). Local projection stabilization for the Oseen problem. IMA Journal of Numerical Analysis. 36(2). 796–823. 20 indexed citations
14.
Knill, Christoph, Stephan Heichel, & Daniel Arndt. (2012). Really a front-runner, really a Straggler? Of environmental leaders and laggards in the European Union and beyond — A quantitative policy perspective. Energy Policy. 48. 36–45. 43 indexed citations
15.
Arndt, Daniel, et al.. (2009). Symmetry Model Based Key Finding. Journal of the Audio Engineering Society. 3 indexed citations
16.
Arndt, Daniel & Brian C. Tiburzi. (2004). Hadronic electromagnetic properties at finite lattice spacing. Physical review. D. Particles, fields, gravitation, and cosmology. 69(11). 7 indexed citations
17.
Arndt, Daniel. (2003). Chiral1/M2corrections toB(*)D(*)at zero recoil in quenched chiral perturbation theory. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 67(7). 5 indexed citations
18.
Arndt, Daniel & Brian C. Tiburzi. (2003). Charge radii of the meson and baryon octets in quenched and partially quenched chiral perturbation theory. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 68(9). 37 indexed citations
19.
Arndt, Daniel, Silas R. Beane, & Martin J. Savage. (2003). The ΛQΛQ potential. Nuclear Physics A. 726(3-4). 339–348. 14 indexed citations
20.
Arndt, Daniel & Chueng‐Ryong Ji. (1999). Light-cone quark model analysis of radially excited pseudoscalar and vector mesons. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 60(9). 15 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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