Ian Wood
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 10%
- Atomic and Molecular Physics, and Optics
- Statistical and Nonlinear Physics
- Co-authors
- Gerd GrubbSerguei NabokoMarco MarlettaMatthias HieberHelmut AbelsB. M. BrownMichael PlumHorst Heck
- Topics
- Spectral Theory in Mathematical Physics (14 papers)Numerical methods in inverse problems (12 papers)Advanced Mathematical Modeling in Engineering (12 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical SocietyProceedings of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- United KingdomGermanyRussia
In The Last Decade
Ian Wood
21 papers receiving 144 citations
Peers
Comparison fields: 5 of 25
- Mathematical Physics 124
- Computational Theory and Mathematics 113
- Applied Mathematics 60
- Atomic and Molecular Physics, and Optics 15
- Statistical and Nonlinear Physics 11
Countries citing papers authored by Ian Wood
This map shows the geographic impact of Ian Wood'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 Ian Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Wood more than expected).
Fields of papers citing papers by Ian Wood
This network shows the impact of papers produced by Ian Wood. 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 Ian Wood. The network helps show where Ian Wood may publish in the future.
Co-authorship network of co-authors of Ian Wood
This figure shows the co-authorship network connecting the top 25 collaborators of Ian Wood. A scholar is included among the top collaborators of Ian Wood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian Wood. Ian Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 19 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 26 | |
| 18 | Elliptic and Parabolic Problems in Non-Smooth Domains | 1 |
| 19 | 11 | |
| 20 | 3 |
About Ian Wood
Ian Wood is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 23 papers that have together received 156 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (14 papers), Numerical methods in inverse problems (12 papers) and Advanced Mathematical Modeling in Engineering (12 papers). The work is most often cited by research in Mathematical Physics (124 citations), Computational Theory and Mathematics (113 citations) and Applied Mathematics (60 citations). Ian Wood has collaborated with scholars based in United Kingdom, Germany and Russia. Frequent co-authors include Gerd Grubb, Serguei Naboko, Marco Marletta, Matthias Hieber, Helmut Abels, B. M. Brown, Michael Plum, Horst Heck, Matthias Geißert and B. M. Brown. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Proceedings of the Royal Society A Mathematical Physical and Engineering 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.