Pamela Murray‐Tuite
About
In The Last Decade
Pamela Murray‐Tuite
103 papers receiving 3.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pamela Murray‐Tuite United States | 30 | 1.8k | 1.4k | 892 | 635 | 473 | 106 | 3.1k | ||
| Brian Wolshon United States | 27 | 1.7k 1.0× | 1.6k 1.1× | 506 0.6× | 464 0.7× | 281 0.6× | 139 | 2.9k | ||
| Chester G. Wilmot United States | 24 | 1.0k 0.6× | 1.2k 0.8× | 389 0.4× | 292 0.5× | 237 0.5× | 85 | 2.1k | ||
| Samiul Hasan United States | 28 | 649 0.4× | 1.7k 1.2× | 728 0.8× | 400 0.6× | 200 0.4× | 108 | 3.2k | ||
| Thomas J. Cova United States | 27 | 1.3k 0.7× | 739 0.5× | 504 0.6× | 1.1k 1.7× | 122 0.3× | 59 | 2.6k | ||
| Eren Erman Özgüven United States | 28 | 481 0.3× | 705 0.5× | 356 0.4× | 317 0.5× | 364 0.8× | 174 | 2.5k | ||
| Linda K. Nozick United States | 32 | 502 0.3× | 551 0.4× | 346 0.4× | 378 0.6× | 631 1.3× | 139 | 3.0k | ||
| Milad Haghani Australia | 36 | 2.1k 1.2× | 1.1k 0.8× | 422 0.5× | 244 0.4× | 78 0.2× | 118 | 3.4k | ||
| S. Gwynne United Kingdom | 28 | 2.2k 1.2× | 682 0.5× | 336 0.4× | 480 0.8× | 93 0.2× | 128 | 2.6k | ||
| Erik Jenelius Sweden | 34 | 567 0.3× | 2.5k 1.8× | 417 0.5× | 314 0.5× | 1.6k 3.4× | 114 | 4.7k | ||
| Ali Mostafavi United States | 37 | 607 0.3× | 509 0.4× | 1.7k 1.9× | 1.2k 1.9× | 1.5k 3.1× | 248 | 4.8k |
Countries citing papers authored by Pamela Murray‐Tuite
This map shows the geographic impact of Pamela Murray‐Tuite'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 Pamela Murray‐Tuite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Murray‐Tuite more than expected).
Fields of papers citing papers by Pamela Murray‐Tuite
This network shows the impact of papers produced by Pamela Murray‐Tuite. 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 Pamela Murray‐Tuite. The network helps show where Pamela Murray‐Tuite may publish in the future.
Co-authorship network of co-authors of Pamela Murray‐Tuite
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Murray‐Tuite. A scholar is included among the top collaborators of Pamela Murray‐Tuite 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 Pamela Murray‐Tuite. Pamela Murray‐Tuite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.