Daniel Appelö

3.3k citations
49 papers · 639 indexed · h-index 11

Daniel Appelö

42 papers receiving 583 citations

Peers

Daniel Appelö
Comparison fields: 5 of 59
  • Computational Mechanics 268
  • Numerical Analysis 59
  • Geophysics 136
  • Electrical and Electronic Engineering 320
  • Mechanics of Materials 134
Replace Peter G. Petropoulos with:
Peter G. Petropoulos United States
Nicolay M. Tanushev United States
Daniel Bouché France
F. Shi China
Ellis Cumberbatch United States
Charles I. Goldstein United States
Patricio Farrell Germany
Aaron Fisher United States
Vladimir Druskin United States
C. I. Christov United States
Daniel Appelö relative to Peter G. Petropoulos United States Peter G. Petropoulos's profile →
Citations per field
00.5×2.7×
Peter G. Petropoulos · 1×
Citations per year

Countries citing papers authored by Daniel Appelö

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Appelö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Appelö, 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 Appelö Line = papers co-authored together Daniel Appelö links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20253
4 20241
5 20232
6 20232
7 20222
8 20224
9 20220
10 20225
11 20214
12 20212
13
Anderson Acceleration Using the H -s Norm.
20201
14 20194
15 20173
16
Formulae and software for particular solutions to the elastic wave equation in curved geometries
20152
17 201525
18 201225
19 201158
20
Numerical Methods for Solid Mechanics on Overlapping Grids: Linear Elasticity
20101

About Daniel Appelö

Daniel Appelö is a scholar working on Computational Mechanics, Numerical Analysis and Electrical and Electronic Engineering, having authored 49 papers that have together received 639 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (28 papers), Electromagnetic Simulation and Numerical Methods (28 papers), Computational Fluid Dynamics and Aerodynamics (14 papers), Electromagnetic Scattering and Analysis (9 papers), Numerical methods in engineering (7 papers), Numerical methods for differential equations (5 papers), Model Reduction and Neural Networks (4 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Computational Mechanics (268 citations), Numerical Analysis (59 citations) and Geophysics (136 citations). Daniel Appelö has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Gunilla Kreiss, N. Anders Petersson, Thomas Hagstrom, Tim Colonius, Zhen‐Gang Wang, Christina Ting, William D. Henshaw, Jeffrey W. Banks, Donald W. Schwendeman and Yingda Cheng. Their work appears in journals such as Journal of Computational Physics, Journal of Scientific Computing, SIAM Journal on Numerical Analysis, SIAM Journal on Scientific Computing and AIAA Journal.

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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