Matthew Everitt
About
In The Last Decade
Matthew Everitt
3 papers receiving 307 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 304
- Computational Theory and Mathematics 145
- Atomic and Molecular Physics, and Optics 135
- Electrical and Electronic Engineering 13
- Statistical and Nonlinear Physics 9
Countries citing papers authored by Matthew Everitt
This map shows the geographic impact of Matthew Everitt'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 Matthew Everitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Everitt more than expected).
Fields of papers citing papers by Matthew Everitt
This network shows the impact of papers produced by Matthew Everitt. 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 Matthew Everitt. The network helps show where Matthew Everitt may publish in the future.
Co-authorship network of co-authors of Matthew Everitt
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Everitt. A scholar is included among the top collaborators of Matthew Everitt 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 Matthew Everitt. Matthew Everitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Massive simultaneous cloud computing (MSCC) for multiphysics-simulation applications | 1 |
| 2 | 11 | |
| 3 | 305 |
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.