Réka Lukács
About
In The Last Decade
Réka Lukács
58 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Réka Lukács Hungary | 18 | 839 | 356 | 170 | 156 | 137 | 59 | 1.1k | ||
| Szabolcs Harangi Hungary | 24 | 1.5k 1.7× | 377 1.1× | 229 1.3× | 307 2.0× | 171 1.2× | 73 | 1.6k | ||
| Thasinee Charoentitirat Thailand | 19 | 839 1.0× | 495 1.4× | 232 1.4× | 97 0.6× | 307 2.2× | 40 | 1.1k | ||
| C. A. Tranne Italy | 19 | 870 1.0× | 514 1.4× | 101 0.6× | 182 1.2× | 46 0.3× | 46 | 1.2k | ||
| Robert J. Musgrave Australia | 17 | 591 0.7× | 414 1.2× | 171 1.0× | 87 0.6× | 223 1.6× | 44 | 1.1k | ||
| Chrystèle Vérati France | 20 | 1.4k 1.7× | 401 1.1× | 522 3.1× | 282 1.8× | 112 0.8× | 38 | 1.8k | ||
| Marco Maffione Netherlands | 23 | 2.0k 2.3× | 229 0.6× | 179 1.1× | 204 1.3× | 155 1.1× | 39 | 2.1k | ||
| Vittorio Zanon Portugal | 20 | 832 1.0× | 349 1.0× | 49 0.3× | 155 1.0× | 63 0.5× | 63 | 1.2k | ||
| Ilenia Arienzo Italy | 25 | 1.3k 1.6× | 701 2.0× | 176 1.0× | 143 0.9× | 52 0.4× | 74 | 1.7k | ||
| Jerzy Nawrocki Poland | 20 | 723 0.9× | 585 1.6× | 476 2.8× | 72 0.5× | 60 0.4× | 107 | 1.3k | ||
| Guangyu Huang China | 18 | 417 0.5× | 432 1.2× | 42 0.2× | 177 1.1× | 145 1.1× | 47 | 1.0k |
Countries citing papers authored by Réka Lukács
This map shows the geographic impact of Réka Lukács'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 Réka Lukács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Réka Lukács more than expected).
Fields of papers citing papers by Réka Lukács
This network shows the impact of papers produced by Réka Lukács. 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 Réka Lukács. The network helps show where Réka Lukács may publish in the future.
Co-authorship network of co-authors of Réka Lukács
This figure shows the co-authorship network connecting the top 25 collaborators of Réka Lukács. A scholar is included among the top collaborators of Réka Lukács 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 Réka Lukács. Réka Lukács 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.