Elvira Haas
About
In The Last Decade
Elvira Haas
35 papers receiving 2.8k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Elvira Haas Switzerland | 22 | 1.2k | 976 | 818 | 602 | 466 | 35 | 2.8k | ||
| Martine I. Darville Belgium | 25 | 1.0k 0.9× | 450 0.5× | 499 0.6× | 614 1.0× | 260 0.6× | 36 | 2.2k | ||
| Kirsi Narko Finland | 16 | 1.0k 0.9× | 283 0.3× | 443 0.5× | 772 1.3× | 539 1.2× | 22 | 2.8k | ||
| Narin Osman Australia | 36 | 1.7k 1.4× | 842 0.9× | 269 0.3× | 370 0.6× | 313 0.7× | 90 | 3.5k | ||
| Osamu Wada‐Hiraike Japan | 35 | 1.1k 0.9× | 678 0.7× | 412 0.5× | 361 0.6× | 481 1.0× | 161 | 3.4k | ||
| Yasuhiro Mitsuuchi United States | 24 | 1.9k 1.6× | 488 0.5× | 230 0.3× | 305 0.5× | 427 0.9× | 37 | 2.9k | ||
| Lesley M. Forrester United Kingdom | 36 | 2.7k 2.3× | 566 0.6× | 383 0.5× | 737 1.2× | 499 1.1× | 86 | 4.5k | ||
| Sunshin Kim South Korea | 25 | 1.0k 0.8× | 596 0.6× | 295 0.4× | 509 0.8× | 237 0.5× | 66 | 2.3k | ||
| Yichuan Xiao China | 34 | 1.9k 1.6× | 2.0k 2.1× | 870 1.1× | 257 0.4× | 724 1.6× | 79 | 4.0k | ||
| Toshiya Tanaka Japan | 32 | 2.4k 2.0× | 395 0.4× | 548 0.7× | 584 1.0× | 461 1.0× | 84 | 3.9k | ||
| Kin‐Mang Lau Hong Kong | 34 | 1.6k 1.3× | 359 0.4× | 765 0.9× | 1.0k 1.7× | 545 1.2× | 82 | 3.9k |
Countries citing papers authored by Elvira Haas
This map shows the geographic impact of Elvira Haas'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 Elvira Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elvira Haas more than expected).
Fields of papers citing papers by Elvira Haas
This network shows the impact of papers produced by Elvira Haas. 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 Elvira Haas. The network helps show where Elvira Haas may publish in the future.
Co-authorship network of co-authors of Elvira Haas
This figure shows the co-authorship network connecting the top 25 collaborators of Elvira Haas. A scholar is included among the top collaborators of Elvira Haas 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 Elvira Haas. Elvira Haas 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.