Csaba Pákozdi
About
In The Last Decade
Csaba Pákozdi
49 papers receiving 517 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Csaba Pákozdi Norway | 12 | 309 | 300 | 185 | 153 | 141 | 51 | 531 | ||
| P. H. Taylor United Kingdom | 14 | 250 0.8× | 263 0.9× | 169 0.9× | 140 0.9× | 114 0.8× | 29 | 432 | ||
| Richard Mercier United States | 13 | 90 0.3× | 235 0.8× | 108 0.6× | 254 1.7× | 81 0.6× | 27 | 455 | ||
| Pierre Ferrant France | 16 | 449 1.5× | 371 1.2× | 416 2.2× | 336 2.2× | 199 1.4× | 46 | 819 | ||
| Jesper Skourup Denmark | 10 | 187 0.6× | 246 0.8× | 196 1.1× | 185 1.2× | 95 0.7× | 23 | 476 | ||
| Yunxiang You China | 11 | 216 0.7× | 174 0.6× | 160 0.9× | 175 1.1× | 62 0.4× | 59 | 465 | ||
| Jana Orszaghova Australia | 13 | 241 0.8× | 307 1.0× | 247 1.3× | 212 1.4× | 135 1.0× | 43 | 510 | ||
| Shiqiang Yan United Kingdom | 15 | 348 1.1× | 404 1.3× | 426 2.3× | 593 3.9× | 199 1.4× | 95 | 1.0k | ||
| Mamoun Naciri United States | 10 | 173 0.6× | 192 0.6× | 206 1.1× | 121 0.8× | 41 0.3× | 29 | 359 | ||
| Paolo Boccotti Italy | 15 | 410 1.3× | 649 2.2× | 573 3.1× | 309 2.0× | 128 0.9× | 31 | 905 | ||
| Junwoo Choi South Korea | 10 | 163 0.5× | 315 1.1× | 153 0.8× | 138 0.9× | 154 1.1× | 37 | 440 |
Countries citing papers authored by Csaba Pákozdi
This map shows the geographic impact of Csaba Pákozdi'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 Csaba Pákozdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Pákozdi more than expected).
Fields of papers citing papers by Csaba Pákozdi
This network shows the impact of papers produced by Csaba Pákozdi. 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 Csaba Pákozdi. The network helps show where Csaba Pákozdi may publish in the future.
Co-authorship network of co-authors of Csaba Pákozdi
This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Pákozdi. A scholar is included among the top collaborators of Csaba Pákozdi 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 Csaba Pákozdi. Csaba Pákozdi 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.