Daniel Ruprecht

926 citations
38 papers · 398 indexed · h-index 11

Impact in

Papers in

Daniel Ruprecht

33 papers receiving 370 citations

Peers

Daniel Ruprecht
Comparison fields: 5 of 51
  • Numerical Analysis 145
  • Computational Mechanics 179
  • Computational Theory and Mathematics 74
  • Statistical and Nonlinear Physics 50
  • Hardware and Architecture 20
Replace Will Pazner with:
Will Pazner United States
Michael Pernice United States
Hengbin An China
Jakub Červený United States
Vladimir Tomov United States
Jean‐Sylvain Camier United States
Johann Dahm United States
Kjell Gustafsson Sweden
Ignacio Tomaš United States
Yuhe Ren United Kingdom
Daniel Ruprecht relative to Will Pazner United States Will Pazner's profile →
Citations per field
00.5×
Will Pazner · 1×
Citations per year

Countries citing papers authored by Daniel Ruprecht

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ruprecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Ruprecht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Ruprecht Line = papers co-authored together Daniel Ruprecht links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201859
2 201242
3 201439
4 201831
5 201531
6 201826
7 201223
8 201518
9 201217
10 201615
11 201413
12 20089
13 20159
14 20189
15 20188
16 20108
17 20236
18 20115
19 20194
20 20204

About Daniel Ruprecht

Daniel Ruprecht is a scholar working on Computational Mechanics, Numerical Analysis, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 38 papers that have together received 398 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (12 papers), Numerical methods for differential equations (11 papers), Advanced Numerical Methods in Computational Mathematics (9 papers), Meteorological Phenomena and Simulations (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Model Reduction and Neural Networks (4 papers), Distributed and Parallel Computing Systems (3 papers) and Electromagnetic Scattering and Analysis (3 papers). The work is most often cited by research in Numerical Analysis (145 citations), Computational Mechanics (179 citations), Computational Theory and Mathematics (74 citations), Statistical and Nonlinear Physics (50 citations) and Hardware and Architecture (20 citations). Daniel Ruprecht has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Rolf Krause, Robert Speck, Matthew Emmett, Michael L. Minion, Matthias Bolten, T. Höschen, R. Neu, P. Gibbon, Muyuan Li and Rupert Klein. Their work appears in journals such as SIAM Journal on Scientific Computing, Computer Physics Communications, Journal of Nuclear Materials, International Journal of Engine Research and Computational Mechanics.

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