Larry Snyder
- Computational Theory and Mathematics top 5%
- Computer Science Applications top 2%
- Numerical Analysis top 5%
- Information Systems top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- S. K. JainLillian CasselAlan ClementsMark GuzdialAndrew McGettrickBruce W. WeideRenée McCauleyGordon Davies
- Topics
- Matrix Theory and Algorithms (7 papers)Advanced Optimization Algorithms Research (4 papers)Advanced Topics in Algebra (3 papers)
- Journals
- Transactions of the American Mathematical SocietyPacific Journal of MathematicsProceedings of the American Mathematical Society
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Larry Snyder
14 papers receiving 335 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 157
- Computer Science Applications 125
- Numerical Analysis 86
- Information Systems 73
- Atomic and Molecular Physics, and Optics 69
Countries citing papers authored by Larry Snyder
This map shows the geographic impact of Larry Snyder'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 Larry Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Snyder more than expected).
Fields of papers citing papers by Larry Snyder
This network shows the impact of papers produced by Larry Snyder. 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 Larry Snyder. The network helps show where Larry Snyder may publish in the future.
Co-authorship network of co-authors of Larry Snyder
This figure shows the co-authorship network connecting the top 25 collaborators of Larry Snyder. A scholar is included among the top collaborators of Larry Snyder 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 Larry Snyder. Larry Snyder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | Computer Science Curriculum 2008: An Interim Revision of CS 2001 | 149 |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 128 | |
| 7 | 32 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 6 |
About Larry Snyder
Larry Snyder is a scholar working on Numerical Analysis, Algebra and Number Theory and Computational Theory and Mathematics, having authored 16 papers that have together received 401 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (7 papers), Advanced Optimization Algorithms Research (4 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Computer Science Applications (125 citations), Numerical Analysis (86 citations) and Computational Theory and Mathematics (157 citations). Larry Snyder has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include S. K. Jain, Lillian Cassel, Alan Clements, Mark Guzdial, Andrew McGettrick, Bruce W. Weide, Renée McCauley, Gordon Davies, David S. Johnson and Tom Leighton. Their work appears in journals such as Transactions of the American Mathematical Society, Pacific Journal of Mathematics and Proceedings of the American 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.