Márta Gácsi
About
In The Last Decade
Márta Gácsi
131 papers receiving 4.7k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Márta Gácsi Hungary | 34 | 3.7k | 1.9k | 1.2k | 1.1k | 786 | 136 | 4.8k | ||
| Zsófia Virányi Austria | 37 | 3.4k 0.9× | 1.9k 1.0× | 1.1k 1.0× | 736 0.7× | 848 1.1× | 107 | 4.3k | ||
| Enikő Kubinyi Hungary | 34 | 3.3k 0.9× | 1.5k 0.8× | 1.1k 1.0× | 717 0.6× | 747 1.0× | 135 | 4.1k | ||
| Friederike Range Austria | 44 | 3.3k 0.9× | 2.6k 1.4× | 1.2k 1.0× | 518 0.5× | 1.1k 1.3× | 195 | 5.3k | ||
| József Topál Hungary | 43 | 6.1k 1.6× | 2.9k 1.5× | 1.9k 1.6× | 1.8k 1.6× | 1.2k 1.6× | 128 | 7.1k | ||
| Juliane Kaminski Germany | 30 | 2.3k 0.6× | 1.5k 0.8× | 737 0.6× | 540 0.5× | 542 0.7× | 64 | 3.5k | ||
| Sarah Marshall‐Pescini Austria | 34 | 2.3k 0.6× | 2.0k 1.0× | 833 0.7× | 444 0.4× | 701 0.9× | 102 | 3.7k | ||
| Clive D. L. Wynne United States | 38 | 2.6k 0.7× | 1.2k 0.6× | 1.3k 1.1× | 457 0.4× | 437 0.6× | 138 | 4.2k | ||
| Daniel S. Mills United Kingdom | 48 | 5.4k 1.4× | 1.6k 0.9× | 3.2k 2.7× | 616 0.6× | 658 0.8× | 280 | 7.5k | ||
| Vilmos Csányi Hungary | 30 | 3.1k 0.8× | 1.3k 0.7× | 1.0k 0.9× | 793 0.7× | 570 0.7× | 65 | 3.8k | ||
| Paola Valsecchi Italy | 34 | 2.0k 0.5× | 1.1k 0.6× | 1.0k 0.9× | 292 0.3× | 517 0.7× | 95 | 3.0k |
Countries citing papers authored by Márta Gácsi
This map shows the geographic impact of Márta Gácsi'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 Márta Gácsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márta Gácsi more than expected).
Fields of papers citing papers by Márta Gácsi
This network shows the impact of papers produced by Márta Gácsi. 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 Márta Gácsi. The network helps show where Márta Gácsi may publish in the future.
Co-authorship network of co-authors of Márta Gácsi
This figure shows the co-authorship network connecting the top 25 collaborators of Márta Gácsi. A scholar is included among the top collaborators of Márta Gácsi 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 Márta Gácsi. Márta Gácsi 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.