J. P. Williams
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 2%
- Algebra and Number Theory top 5%
- Numerical Analysis top 10%
- Co-authors
- Peter FillmoreJoseph G. StampfliHeydar RadjaviWilliam A. PorterJohn K. JohnstoneCiprian FoiaşJacques KpodonuElli Angelopoulou
- Topics
- Matrix Theory and Algorithms (10 papers)Holomorphic and Operator Theory (7 papers)Advanced Topics in Algebra (5 papers)
- Partner nations
- United StatesGermany
In The Last Decade
J. P. Williams
36 papers receiving 695 citations
Peers
Comparison fields: 5 of 74
- Applied Mathematics 529
- Computational Theory and Mathematics 435
- Mathematical Physics 400
- Algebra and Number Theory 246
- Numerical Analysis 64
Countries citing papers authored by J. P. Williams
This map shows the geographic impact of J. P. Williams'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 J. P. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. P. Williams more than expected).
Fields of papers citing papers by J. P. Williams
This network shows the impact of papers produced by J. P. Williams. 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 J. P. Williams. The network helps show where J. P. Williams may publish in the future.
Co-authorship network of co-authors of J. P. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Williams. A scholar is included among the top collaborators of J. P. Williams 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 J. P. Williams. J. P. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Lunar Global Heat Flow: Predictions and Constraints | 1 |
| 2 | 19 | |
| 3 | Pedagogical Design for an Online Information Literacy Course: College Students' Learning Experience with Multi-modal Objects | 5 |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | On the essential numerical range, the essential spectrum, and a problem of Halmos | 108 |
| 14 | 285 | |
| 15 | 11 | |
| 16 | 22 | |
| 17 | 24 | |
| 18 | 42 | |
| 19 | 1 | |
| 20 | 23 |
About J. P. Williams
J. P. Williams is a scholar working on Computer Graphics and Computer-Aided Design, Algebra and Number Theory and Mathematical Physics, having authored 39 papers that have together received 904 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (10 papers), Holomorphic and Operator Theory (7 papers) and Advanced Topics in Algebra (5 papers). The work is most often cited by research in Algebra and Number Theory (246 citations), Applied Mathematics (529 citations) and Mathematical Physics (400 citations). J. P. Williams has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter Fillmore, Joseph G. Stampfli, Heydar Radjavi, William A. Porter, John K. Johnstone, Ciprian Foiaş, Jacques Kpodonu, Elli Angelopoulou, Thomas R. Crimmins and Edward B. Diethrich. Their work appears in journals such as Stroke, Pattern Recognition and Journal of Thoracic and Cardiovascular Surgery.
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.