Lars Gårding

2.5k citations
50 papers · 1.5k · h-index 18

Impact in

    • Differential Equations and Boundary Problems
    • Geometric Analysis and Curvature Flows
    • Nonlinear Partial Differential Equations
    • Algebraic and Geometric Analysis
    • Spectral Theory in Mathematical Physics
    • Numerical methods in inverse problems

Papers in

    • Numerical methods in inverse problems 5
    • Mathematical Dynamics and Fractals 3
    • Algebraic and Geometric Analysis 5
    • Differential Equations and Boundary Problems 5

Lars Gårding

41 papers receiving 1.1k citations

Peers

Lars Gårding
Comparison fields: 5 of 89
  • Applied Mathematics 784
  • Mathematical Physics 578
  • Geometry and Topology 311
  • Numerical Analysis 176
  • Computational Theory and Mathematics 416
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Citations per field
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Citations per year

Countries citing papers authored by Lars Gårding

Since Specialization
Citations

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

Fields of papers citing papers by Lars Gårding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Lars Gårding, 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 Gårding Line = papers co-authored together Lars Gårding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1959256
2 1970187
3 1953166
4 1951139
5 195479
6 195467
7 195363
8 196461
9 197347
10
Cauchy's problem for hyperbolic equations
195844
11 196543
12 196043
13 196123
14 196523
15 198321
16 198421
17 199719
18 196117
19 196416
20 199716

About Lars Gårding

Lars Gårding is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Geometry and Topology and Numerical Analysis, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (7 papers), Algebraic and Geometric Analysis (5 papers), Numerical methods in inverse problems (5 papers), Differential Equations and Boundary Problems (5 papers), Algebraic Geometry and Number Theory (3 papers), Mathematical Dynamics and Fractals (3 papers), Physics and Engineering Research Articles (3 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Applied Mathematics (784 citations), Mathematical Physics (578 citations), Geometry and Topology (311 citations), Numerical Analysis (176 citations) and Computational Theory and Mathematics (416 citations). Lars Gårding has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include A. S. Wightman, Michael Atiyah, R. Bott, Jean Leray, Bernard Malgrange, Bertram G. Murray, Lars Hörmander and Marcel Riesz. Their work appears in journals such as Acta Mathematica, Lecture notes in mathematics, Bulletin de la Société mathématique de France, Publications of the Research Institute for Mathematical Sciences and Proceedings of the National Academy of Sciences.

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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