Lars B. Wahlbin

8.9k citations
68 papers · 6.4k indexed · 2 hit papers · h-index 37

Lars B. Wahlbin

65 papers receiving 5.4k citations

Hit Papers

Approximation Theory and Methods.58419772026199320094008001.2k

Peers

Lars B. Wahlbin
Comparison fields: 5 of 149
  • Numerical Analysis 1.7k
  • Computational Mechanics 2.9k
  • Computational Theory and Mathematics 2.0k
  • Modeling and Simulation 531
  • Mechanics of Materials 2.0k
Replace Peter Lancaster with:
Peter Lancaster Canada
Larry L. Schumaker United States
Alberto Valli Italy
Rolf Rannacher Germany
Philippe G. Ciarlet France
Jim Douglas United States
George J. Fix United States
Graham F. Carey United States
M. Y. Hussaini United States
William W. Hager United States
Lars B. Wahlbin relative to Peter Lancaster Canada Peter Lancaster's profile →
Citations per field
00.5×1.5×2.3×
Peter Lancaster · 1×
Citations per year

Countries citing papers authored by Lars B. Wahlbin

Since Specialization
Citations

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

Fields of papers citing papers by Lars B. Wahlbin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars B. Wahlbin. 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 Lars B. Wahlbin. The network helps show where Lars B. Wahlbin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201129
2 19989
3 1998104
4 1995143
5 199274
6 19911
7 19846
8 198324
9 198398
10 198098
11 198014
12 1977109
13
Numerical Methods in Finite Element Analysis.breakdown →
19771496
14 197759
15 19752
16 197542
17 1975108
18 197556
19 1974102
20 197419

About Lars B. Wahlbin

Lars B. Wahlbin is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 68 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (50 papers), Advanced Mathematical Modeling in Engineering (40 papers), Differential Equations and Numerical Methods (20 papers), Numerical methods in engineering (16 papers), Numerical methods in inverse problems (11 papers), Numerical methods for differential equations (8 papers), Stability and Controllability of Differential Equations (7 papers) and Electromagnetic Simulation and Numerical Methods (6 papers). The work is most often cited by research in Numerical Analysis (1.7k citations), Computational Mechanics (2.9k citations) and Computational Theory and Mathematics (2.0k citations). Lars B. Wahlbin has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include A. H. Schatz, Edward L. Wilson, Klaus‐Jürgen Bathe, Vidar Thomée, M. J. D. Powell, Kendall Atkinson, James Watt, Gunnar Hall, J. R. Ockendon and Jim Douglas. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Mathematics of Computation and SIAM Journal on Numerical Analysis.

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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