Daniel Ruprecht

965 citations
51 papers · 518 · h-index 12

Impact in

Papers in

Daniel Ruprecht

46 papers receiving 488 citations

Peers

Daniel Ruprecht
Comparison fields: 5 of 53
  • Numerical Analysis 195
  • Computational Mechanics 250
  • Computational Theory and Mathematics 98
  • Statistical and Nonlinear Physics 71
  • Computational Mathematics 3
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Citations per field
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 201250
3 201446
4 201534
5 201833
6 201229
7 201827
8 201226
9 201420
10 201518
11 201618
12 201413
13 201411
14 201811
15 200810
16 20159
17 20169
18 20108
19 20188
20 20237

About Daniel Ruprecht

Daniel Ruprecht is a scholar working on Computational Mechanics, Numerical Analysis, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 51 papers that have together received 518 indexed citations. Recurring topics across this work include Numerical methods for differential equations (15 papers), Electromagnetic Simulation and Numerical Methods (15 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), Fluid Dynamics and Turbulent Flows (7 papers), Electromagnetic Scattering and Analysis (5 papers), Model Reduction and Neural Networks (5 papers), Meteorological Phenomena and Simulations (5 papers) and Matrix Theory and Algorithms (5 papers). The work is most often cited by research in Numerical Analysis (195 citations), Computational Mechanics (250 citations), Computational Theory and Mathematics (98 citations), Statistical and Nonlinear Physics (71 citations) and Computational Mathematics (3 citations). Daniel Ruprecht has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Rolf Krause, Robert Speck, Matthew Emmett, Michael L. Minion, Matthias Bolten, R. Neu, T. Höschen, P. Gibbon, Rupert Klein and R. Dux. Their work appears in journals such as SIAM Journal on Scientific Computing, Lecture notes in computational science and engineering, Computer Physics Communications, Journal of Nuclear Materials and Numerical Methods for Partial Differential Equations.

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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