Ugo Pradère
About
In The Last Decade
Ugo Pradère
13 papers receiving 759 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ugo Pradère France | 11 | 447 | 389 | 294 | 113 | 72 | 13 | 767 | ||
| Mao‐Chin Liu United States | 14 | 288 0.6× | 380 1.0× | 350 1.2× | 183 1.6× | 36 0.5× | 33 | 743 | ||
| Petr Nauš Czechia | 14 | 367 0.8× | 319 0.8× | 250 0.9× | 131 1.2× | 15 0.2× | 21 | 696 | ||
| Steven J. Coats United States | 19 | 791 1.8× | 586 1.5× | 477 1.6× | 239 2.1× | 116 1.6× | 64 | 1.5k | ||
| Anne M. Exall United Kingdom | 16 | 403 0.9× | 352 0.9× | 184 0.6× | 106 0.9× | 15 0.2× | 22 | 662 | ||
| Michael R. Harnden United States | 13 | 423 0.9× | 296 0.8× | 236 0.8× | 175 1.5× | 31 0.4× | 34 | 706 | ||
| Christophe Mathé France | 16 | 424 0.9× | 578 1.5× | 507 1.7× | 203 1.8× | 23 0.3× | 71 | 1.1k | ||
| Elisabetta Groaz Belgium | 14 | 263 0.6× | 403 1.0× | 116 0.4× | 74 0.7× | 58 0.8× | 52 | 606 | ||
| Tokumi Maruyama Japan | 15 | 356 0.8× | 424 1.1× | 198 0.7× | 126 1.1× | 8 0.1× | 79 | 713 | ||
| Bärbel Bennua Germany | 5 | 615 1.4× | 673 1.7× | 318 1.1× | 114 1.0× | 21 0.3× | 7 | 1.0k | ||
| Sena Garber United States | 17 | 431 1.0× | 340 0.9× | 563 1.9× | 91 0.8× | 65 0.9× | 23 | 1.1k |
Countries citing papers authored by Ugo Pradère
This map shows the geographic impact of Ugo Pradère'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 Ugo Pradère with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ugo Pradère more than expected).
Fields of papers citing papers by Ugo Pradère
This network shows the impact of papers produced by Ugo Pradère. 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 Ugo Pradère. The network helps show where Ugo Pradère may publish in the future.
Co-authorship network of co-authors of Ugo Pradère
This figure shows the co-authorship network connecting the top 25 collaborators of Ugo Pradère. A scholar is included among the top collaborators of Ugo Pradère 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 Ugo Pradère. Ugo Pradère 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.