D. B. Pearson

1.9k citations
53 papers · 1.1k · h-index 16

Impact in

Papers in

D. B. Pearson

51 papers receiving 1.0k citations

Peers

D. B. Pearson
Comparison fields: 5 of 111
  • Mathematical Physics 561
  • Applied Mathematics 182
  • Geriatrics and Gerontology 48
  • Computational Theory and Mathematics 246
  • Statistical and Nonlinear Physics 178
Replace Maria Carla Tesi with:
Maria Carla Tesi Italy
Stanislav Smirnov Switzerland
Karl Michael Schmidt United Kingdom
Dale Rolfsen Canada
Ivan Dynnikov Russia
Dan Burghelea United States
Eugene Lerman United States
W. B. R. Lickorish United Kingdom
Caroline Series United Kingdom
David Borwein Canada
D. B. Pearson relative to Maria Carla Tesi Italy Maria Carla Tesi's profile →
Citations per field
00.5×1.5×
Maria Carla Tesi · 1×
Citations per year

Countries citing papers authored by D. B. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by D. B. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987144
2 1970125
3 1972103
4 197885
5 200576
6
Quantum scattering and spectral theory
198863
7 201760
8 199238
9 200431
10 200231
11 197830
12 197521
13 197520
14 197520
15 197518
16 197516
17 197615
18 197615
19 199314
20 197513

About D. B. Pearson

D. B. Pearson is a scholar working on Mathematical Physics, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Applied Mathematics and Statistical and Nonlinear Physics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (27 papers), Numerical methods in inverse problems (11 papers), Matrix Theory and Algorithms (9 papers), Advanced Mathematical Modeling in Engineering (7 papers), Quantum Mechanics and Non-Hermitian Physics (7 papers), Quantum chaos and dynamical systems (6 papers), Electromagnetic Scattering and Analysis (5 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Mathematical Physics (561 citations), Applied Mathematics (182 citations), Geriatrics and Gerontology (48 citations), Computational Theory and Mathematics (246 citations) and Statistical and Nonlinear Physics (178 citations). D. B. Pearson has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Woon Ki Paik, D. J. Gilbert, Werner O. Amrein, Sangduk Kim, Thaddeus W. Borun, Hyang Woo Lee, Andréas Hinz, Paul Busch, Howard Sachs and J. A. Brooke. Their work appears in journals such as Mathematical Physics Analysis and Geometry, Journal of Computational and Applied Mathematics, Communications in Mathematical Physics, Endocrinology and Journal of the London Mathematical Society.

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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