Susana Perelman
About
In The Last Decade
Susana Perelman
35 papers receiving 1.8k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Susana Perelman Argentina | 19 | 725 | 608 | 459 | 418 | 380 | 38 | 1.8k | ||
| Matthew D. Madsen United States | 27 | 798 1.1× | 1.0k 1.7× | 591 1.3× | 233 0.6× | 565 1.5× | 75 | 1.9k | ||
| Toby R. Marthews United Kingdom | 24 | 674 0.9× | 569 0.9× | 364 0.8× | 223 0.5× | 1.0k 2.7× | 39 | 2.0k | ||
| James R. Brandle United States | 26 | 529 0.7× | 604 1.0× | 564 1.2× | 301 0.7× | 707 1.9× | 105 | 2.4k | ||
| Carlos Ovalle Chile | 26 | 595 0.8× | 389 0.6× | 587 1.3× | 361 0.9× | 369 1.0× | 115 | 2.3k | ||
| Bradley S. Case New Zealand | 24 | 662 0.9× | 874 1.4× | 399 0.9× | 299 0.7× | 745 2.0× | 68 | 2.2k | ||
| Camilla Wellstein Italy | 22 | 1.4k 1.9× | 627 1.0× | 851 1.9× | 665 1.6× | 782 2.1× | 82 | 2.6k | ||
| Peter A. Henrys United Kingdom | 25 | 653 0.9× | 865 1.4× | 255 0.6× | 677 1.6× | 585 1.5× | 85 | 2.6k | ||
| Maria C. Caldeira Portugal | 23 | 1.0k 1.4× | 602 1.0× | 750 1.6× | 467 1.1× | 987 2.6× | 50 | 2.3k | ||
| Simonetta Bagella Italy | 24 | 479 0.7× | 507 0.8× | 696 1.5× | 434 1.0× | 235 0.6× | 100 | 1.7k | ||
| Pu Mou China | 24 | 669 0.9× | 631 1.0× | 416 0.9× | 145 0.3× | 477 1.3× | 52 | 1.7k |
Countries citing papers authored by Susana Perelman
This map shows the geographic impact of Susana Perelman'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 Susana Perelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susana Perelman more than expected).
Fields of papers citing papers by Susana Perelman
This network shows the impact of papers produced by Susana Perelman. 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 Susana Perelman. The network helps show where Susana Perelman may publish in the future.
Co-authorship network of co-authors of Susana Perelman
This figure shows the co-authorship network connecting the top 25 collaborators of Susana Perelman. A scholar is included among the top collaborators of Susana Perelman 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 Susana Perelman. Susana Perelman 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.