Paz Toren
About
In The Last Decade
Paz Toren
63 papers receiving 1.4k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Paz Toren Israel | 21 | 603 | 570 | 224 | 217 | 154 | 65 | 1.5k | ||
| Robert Bodén Sweden | 22 | 732 1.2× | 280 0.5× | 135 0.6× | 160 0.7× | 164 1.1× | 86 | 1.6k | ||
| Baruch Spivak Israel | 25 | 749 1.2× | 492 0.9× | 93 0.4× | 201 0.9× | 56 0.4× | 76 | 1.8k | ||
| Donna Ronsaville United States | 21 | 514 0.9× | 594 1.0× | 100 0.4× | 114 0.5× | 90 0.6× | 23 | 1.6k | ||
| Roberto Mester Israel | 26 | 1.1k 1.8× | 602 1.1× | 136 0.6× | 237 1.1× | 94 0.6× | 119 | 2.1k | ||
| Danielle Barry United States | 21 | 357 0.6× | 630 1.1× | 142 0.6× | 317 1.5× | 115 0.7× | 29 | 2.1k | ||
| Filip Van Den Eede Belgium | 20 | 511 0.8× | 369 0.6× | 77 0.3× | 222 1.0× | 102 0.7× | 75 | 1.7k | ||
| Adelaide S. Robb United States | 24 | 1.6k 2.6× | 989 1.7× | 269 1.2× | 437 2.0× | 87 0.6× | 74 | 2.2k | ||
| Riccardo Torta Italy | 24 | 456 0.8× | 316 0.6× | 166 0.7× | 174 0.8× | 89 0.6× | 61 | 1.6k | ||
| Eileen P. Ahearn United States | 21 | 887 1.5× | 556 1.0× | 76 0.3× | 152 0.7× | 49 0.3× | 36 | 1.6k | ||
| Lawrence A. Labbate United States | 25 | 670 1.1× | 537 0.9× | 99 0.4× | 163 0.8× | 51 0.3× | 54 | 1.8k |
Countries citing papers authored by Paz Toren
This map shows the geographic impact of Paz Toren'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 Paz Toren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paz Toren more than expected).
Fields of papers citing papers by Paz Toren
This network shows the impact of papers produced by Paz Toren. 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 Paz Toren. The network helps show where Paz Toren may publish in the future.
Co-authorship network of co-authors of Paz Toren
This figure shows the co-authorship network connecting the top 25 collaborators of Paz Toren. A scholar is included among the top collaborators of Paz Toren 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 Paz Toren. Paz Toren 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.