John W. Pearson
- Computational Mathematics top 2%
- Emergency Medicine top 1%
- Cardiac Arrest and Resuscitation 10
- Numerical Analysis top 5%
- Numerical methods for differential equations 11
- Advanced Optimization Algorithms Research 8
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- Matrix Theory and Algorithms 31
- Biotechnology top 5%
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- Advanced Numerical Methods in Computational Mathematics 23
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- Electromagnetic Scattering and Analysis 12
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- Virus-based gene therapy research 11
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Joseph S. ReddingAndrew J. WathenM. A. ChirigosMartin StollDan L. LongoLouis LasagnaRonald L. HornungMargaret Beckwith
- Journals
- JNCI Journal of the National Cancer Institute (9 papers)Anesthesiology (5 papers)Anesthesia & Analgesia (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John W. Pearson
102 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 148
- Computational Mathematics 45
- Emergency Medicine 587
- Numerical Analysis 229
- Computational Theory and Mathematics 412
- Biotechnology 156
Countries citing papers authored by John W. Pearson
This map shows the geographic impact of John W. 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 John W. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Pearson more than expected).
Fields of papers citing papers by John W. Pearson
This network shows the impact of papers produced by John W. 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 John W. Pearson. The network helps show where John W. Pearson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John W. Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 2 | |
| 10 | 2017 | 26 | |
| 11 | 2017 | 9 | |
| 12 | On the development of parameter-robust preconditioners and commutator arguments for solving Stokes control problems | 2015 | 8 |
| 13 | FAST ITERATIVE SOLVERS FOR CONVECTION-DIFFUSION CONTROL PROBLEMS ∗ | 2013 | 29 |
| 14 | 2001 | 12 | |
| 15 | 1996 | 63 | |
| 16 | 1995 | 18 | |
| 17 | 1993 | 3 | |
| 18 | Drug therapy against a transplantable guinea pig leukemia. | 1975 | 8 |
| 19 | 1967 | 17 | |
| 20 | 1964 | 3 |
About John W. Pearson
John W. Pearson is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (31 papers), Advanced Numerical Methods in Computational Mathematics (23 papers), Electromagnetic Scattering and Analysis (12 papers), Numerical methods for differential equations (11 papers), Virus-based gene therapy research (11 papers), Cardiac Arrest and Resuscitation (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Advanced Optimization Algorithms Research (8 papers). The work is most often cited by research in Computational Mathematics (45 citations), Emergency Medicine (587 citations) and Numerical Analysis (229 citations). John W. Pearson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joseph S. Redding, Andrew J. Wathen, M. A. Chirigos, Martin Stoll, Dan L. Longo, Louis Lasagna, Ronald L. Hornung, Margaret Beckwith, S D Chaparas and Jennifer Pestana. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Anesthesiology, Anesthesia & Analgesia, SIAM Journal on Scientific Computing and Numerical Linear Algebra with Applications.
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.