Éva M. Szegő
About
In The Last Decade
Éva M. Szegő
36 papers receiving 1.7k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Éva M. Szegő Germany | 22 | 670 | 578 | 512 | 480 | 302 | 38 | 1.8k | ||
| Rita M. Cowell United States | 30 | 1.0k 1.5× | 669 1.2× | 822 1.6× | 622 1.3× | 588 1.9× | 59 | 2.5k | ||
| Susan C. Su United States | 14 | 1.8k 2.6× | 250 0.4× | 640 1.3× | 594 1.2× | 226 0.7× | 15 | 2.7k | ||
| Merina Varghese United States | 23 | 707 1.1× | 266 0.5× | 351 0.7× | 472 1.0× | 243 0.8× | 51 | 1.8k | ||
| Christian Néri France | 28 | 1.8k 2.7× | 345 0.6× | 1.0k 2.0× | 628 1.3× | 158 0.5× | 71 | 3.1k | ||
| Selma Kanazir Serbia | 25 | 909 1.4× | 185 0.3× | 667 1.3× | 506 1.1× | 261 0.9× | 87 | 2.2k | ||
| Marta Barrachina Spain | 30 | 1.3k 1.9× | 720 1.2× | 651 1.3× | 706 1.5× | 484 1.6× | 45 | 2.8k | ||
| Iddo Magen Israel | 24 | 598 0.9× | 840 1.5× | 617 1.2× | 402 0.8× | 215 0.7× | 38 | 2.0k | ||
| Shawn Hayley Canada | 18 | 664 1.0× | 721 1.2× | 712 1.4× | 290 0.6× | 327 1.1× | 30 | 1.8k | ||
| Francesca L’Episcopo Italy | 23 | 951 1.4× | 526 0.9× | 850 1.7× | 204 0.4× | 449 1.5× | 29 | 2.0k | ||
| Kengo Uemura Japan | 31 | 911 1.4× | 312 0.5× | 559 1.1× | 979 2.0× | 329 1.1× | 58 | 2.1k |
Countries citing papers authored by Éva M. Szegő
This map shows the geographic impact of Éva M. Szegő'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 Éva M. Szegő with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva M. Szegő more than expected).
Fields of papers citing papers by Éva M. Szegő
This network shows the impact of papers produced by Éva M. Szegő. 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 Éva M. Szegő. The network helps show where Éva M. Szegő may publish in the future.
Co-authorship network of co-authors of Éva M. Szegő
This figure shows the co-authorship network connecting the top 25 collaborators of Éva M. Szegő. A scholar is included among the top collaborators of Éva M. Szegő 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 Éva M. Szegő. Éva M. Szegő 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.