Sarah Day
About
In The Last Decade
Sarah Day
18 papers receiving 247 citations
Peers
Comparison fields: 5 of 51
- Statistical and Nonlinear Physics 119
- Computational Theory and Mathematics 113
- Mathematical Physics 97
- Numerical Analysis 49
- Computer Networks and Communications 46
Countries citing papers authored by Sarah Day
This map shows the geographic impact of Sarah Day'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 Sarah Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Day more than expected).
Fields of papers citing papers by Sarah Day
This network shows the impact of papers produced by Sarah Day. 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 Sarah Day. The network helps show where Sarah Day may publish in the future.
Co-authorship network of co-authors of Sarah Day
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Day. A scholar is included among the top collaborators of Sarah Day 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 Sarah Day. Sarah Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 19 | |
| 9 | 10 | |
| 10 | 22 | |
| 11 | 11 | |
| 12 | 73 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 47 | |
| 16 | 46 | |
| 17 | TOWARDS A RIGOROUS NUMERICAL STUDY OF THE KOT{SCHAFFER MODEL | 2 |
| 18 | 7 |
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.