Kevin Nash
About
In The Last Decade
Kevin Nash
2 papers receiving 6 citations
Author Peers
Peers are selected by citation overlap in the author's most active subfields. citations · hero ref
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Kevin Nash | 3 | 3 | 2 | 1 | 1 | 2 | 6 | |
| Pauline Cailliez | 3 1.0× | 1 1.0× | 3 | 6 | ||||
| Daniel Suan | 4 1.3× | 2 | 5 | |||||
| S. Mukhopadhyay | 3 1.0× | 2 | 6 | |||||
| N. Pilnik | 3 1.0× | 3 | 6 | |||||
| Martina Alonso | 1 0.3× | 3 1.0× | 2 | 7 | ||||
| Solmaz Alizadeh | 3 1.0× | 2 | 7 | |||||
| Tammy Osentoski | 3 1.0× | 2 | 5 | |||||
| J. Farrell | 3 1.0× | 1 1.0× | 2 | 5 | ||||
| T. Kitamura | 3 1.0× | 2 | 5 | |||||
| Bobby Mann | 3 1.0× | 1 1.0× | 3 | 5 |
Countries citing papers authored by Kevin Nash
This map shows the geographic impact of Kevin Nash'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 Kevin Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Nash more than expected).
Fields of papers citing papers by Kevin Nash
This network shows the impact of papers produced by Kevin Nash. 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 Kevin Nash. The network helps show where Kevin Nash may publish in the future.
Co-authorship network of co-authors of Kevin Nash
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Nash. A scholar is included among the top collaborators of Kevin Nash 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 Kevin Nash. Kevin Nash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
Loading papers...
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.