David R. Larson

3.8k citations
78 papers · 1.8k · h-index 18

Impact in

Papers in

    • Mathematical Analysis and Transform Methods 25
    • Holomorphic and Operator Theory 15
    • Advanced Operator Algebra Research 20
    • Spectral Theory in Mathematical Physics 8

David R. Larson

74 papers receiving 1.5k citations

Peers

David R. Larson
Comparison fields: 5 of 97
  • Algebra and Number Theory 470
  • Applied Mathematics 896
  • Mathematical Physics 560
  • Geometry and Topology 218
  • Computer Vision and Pattern Recognition 321
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Citations per field
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Citations per year

Countries citing papers authored by David R. Larson

Since Specialization
Citations

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

Fields of papers citing papers by David R. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Larson. 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 David R. Larson. The network helps show where David R. Larson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000308
2 2007291
3 1998145
4
Local derivations and local automorphisms of B(X)
1988132
5 198888
6 199778
7 198572
8 200439
9 200938
10 198433
11 198231
12 197930
13 198628
14 200327
15 199820
16 200120
17 199219
18 200417
19 201417
20 200316

About David R. Larson

David R. Larson is a scholar working on Applied Mathematics, Mathematical Physics, Algebra and Number Theory, Computational Theory and Mathematics and Environmental Engineering, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (25 papers), Advanced Topics in Algebra (21 papers), Advanced Operator Algebra Research (20 papers), Holomorphic and Operator Theory (15 papers), Groundwater flow and contamination studies (9 papers), Spectral Theory in Mathematical Physics (8 papers), Water Quality and Resources Studies (7 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Algebra and Number Theory (470 citations), Applied Mathematics (896 citations), Mathematical Physics (560 citations), Geometry and Topology (218 citations) and Computer Vision and Pattern Recognition (321 citations). David R. Larson has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Deguang Han, Xingde Dai, A. R. Sourour, B. G. Wolff, Dieter Hahnloser, Brian S. Crownhart, Roger R. Dozois, John H. Pembérton, Frank Gilfeather and Darrin Speegle. Their work appears in journals such as Journal of Functional Analysis, Transactions of the American Mathematical Society, Journal of Fourier Analysis and Applications, Integral Equations and Operator Theory and Indiana University Mathematics 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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