Philip Waggoner
About
In The Last Decade
Philip Waggoner
29 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Ecology 901
- Ecology, Evolution, Behavior and Systematics 736
- Sociology and Political Science 704
- Nature and Landscape Conservation 568
- Social Psychology 476
Countries citing papers authored by Philip Waggoner
This map shows the geographic impact of Philip Waggoner'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 Philip Waggoner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Waggoner more than expected).
Fields of papers citing papers by Philip Waggoner
This network shows the impact of papers produced by Philip Waggoner. 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 Philip Waggoner. The network helps show where Philip Waggoner may publish in the future.
Co-authorship network of co-authors of Philip Waggoner
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Waggoner. A scholar is included among the top collaborators of Philip Waggoner 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 Philip Waggoner. Philip Waggoner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | performance: An R Package for Assessment, Comparison and Testing of Statistical Models breakdown → | 2733 |
| 6 | 13 | |
| 7 | 19 | |
| 8 | Unsupervised Machine Learning for Clustering in Political and Social Research | 0 |
| 9 | The shape of and solutions to the MTurk quality crisis breakdown → | 339 |
| 10 | 12 | |
| 11 | Assessment of Regression Models Performance [R package performance version 0.6.1] | 49 |
| 12 | 58 | |
| 13 | 0 | |
| 14 | 20 | |
| 15 | 40 | |
| 16 | 95 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Are samples drawn from Mechanical Turk valid for research on political ideology? breakdown → | 530 |
| 20 | 2 |
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.