Desmond J. Higham
- Modeling and Simulation top 0.2%
- Numerical Analysis top 0.5%
- Numerical methods for differential equations 23
- Finance top 0.5%
- Stochastic processes and financial applications 23
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques 56
- Opinion Dynamics and Social Influence 32
- Computational Mathematics top 2%
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- Bioinformatics and Genomic Networks 30
- Gene Regulatory Network Analysis 21
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- Advanced Numerical Methods in Computational Mathematics 14
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- Matrix Theory and Algorithms 14
- Co-authors
- Xuerong MaoAndrew M. StuartNicholas J. HighamErnesto EstradaPeter E. KloedenPeter GrindrodDavid F. GriffithsTimothy E.J. Behrens
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (2 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Desmond J. Higham
156 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Modeling and Simulation 1.1k
- Numerical Analysis 1.1k
- Finance 1.6k
- Statistical and Nonlinear Physics 1.7k
- Computational Mathematics 48
Countries citing papers authored by Desmond J. Higham
This map shows the geographic impact of Desmond J. Higham'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 Desmond J. Higham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Desmond J. Higham more than expected).
Fields of papers citing papers by Desmond J. Higham
This network shows the impact of papers produced by Desmond J. Higham. 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 Desmond J. Higham. The network helps show where Desmond J. Higham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Desmond J. Higham, 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 | 2024 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 6 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 17 | |
| 11 | 2018 | 6 | |
| 12 | Mapping directed networks | 2010 | 15 |
| 13 | NON-NEGATIVE MATRIX FACTORISATION FOR NETWORK REORDERING | 2010 | 0 |
| 14 | Strongly Nonlinear Ait-Sahalia-Type Interest Rate Model and its Numerical Approximation | 2009 | 1 |
| 15 | 2007 | 34 | |
| 16 | 2006 | 94 | |
| 17 | 2005 | 12 | |
| 18 | Error analysis of QR algorithms for computing Lyapunov exponents | 2001 | 5 |
| 19 | 1995 | 4 | |
| 20 | 1990 | 11 |
About Desmond J. Higham
Desmond J. Higham is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Finance, having authored 163 papers that have together received 8.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (56 papers), Opinion Dynamics and Social Influence (32 papers), Bioinformatics and Genomic Networks (30 papers), Stochastic processes and financial applications (23 papers), Numerical methods for differential equations (23 papers), Gene Regulatory Network Analysis (21 papers), Advanced Numerical Methods in Computational Mathematics (14 papers) and Matrix Theory and Algorithms (14 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Numerical Analysis (1.1k citations) and Finance (1.6k citations). Desmond J. Higham has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Xuerong Mao, Andrew M. Stuart, Nicholas J. Higham, Ernesto Estrada, Peter E. Kloeden, Peter Grindrod, David F. Griffiths, Timothy E.J. Behrens, Heidi Johansen‐Berg and Jonathan C. Mattingly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.
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.