Matěj Božík
About
In The Last Decade
Matěj Božík
38 papers receiving 866 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Matěj Božík Czechia | 17 | 345 | 318 | 238 | 119 | 102 | 41 | 886 | ||
| Eliana Janet Sanjinez‐Argandoña Brazil | 18 | 337 1.0× | 315 1.0× | 161 0.7× | 136 1.1× | 53 0.5× | 85 | 899 | ||
| Francesca Masino Italy | 18 | 478 1.4× | 338 1.1× | 126 0.5× | 96 0.8× | 57 0.6× | 50 | 912 | ||
| Jittawan Kubola Thailand | 8 | 342 1.0× | 330 1.0× | 153 0.6× | 164 1.4× | 62 0.6× | 15 | 1.0k | ||
| Germain Kansci Cameroon | 17 | 467 1.4× | 549 1.7× | 132 0.6× | 124 1.0× | 40 0.4× | 61 | 1.1k | ||
| Urszula Pankiewicz Poland | 18 | 424 1.2× | 192 0.6× | 201 0.8× | 168 1.4× | 79 0.8× | 65 | 1.1k | ||
| Beatriz A. Acosta‐Estrada Mexico | 9 | 567 1.6× | 348 1.1× | 123 0.5× | 232 1.9× | 44 0.4× | 11 | 1.3k | ||
| Hilaire Macaire Womeni Cameroon | 21 | 589 1.7× | 505 1.6× | 243 1.0× | 194 1.6× | 82 0.8× | 102 | 1.4k | ||
| Maria Inês Sucupira Maciel Brazil | 23 | 641 1.9× | 526 1.7× | 75 0.3× | 197 1.7× | 39 0.4× | 95 | 1.4k | ||
| Roberta Foligni Italy | 17 | 461 1.3× | 280 0.9× | 509 2.1× | 254 2.1× | 245 2.4× | 49 | 1.2k | ||
| Zhongzheng Gui China | 23 | 242 0.7× | 332 1.0× | 431 1.8× | 665 5.6× | 32 0.3× | 58 | 1.4k |
Countries citing papers authored by Matěj Božík
This map shows the geographic impact of Matěj Božík'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 Matěj Božík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matěj Božík more than expected).
Fields of papers citing papers by Matěj Božík
This network shows the impact of papers produced by Matěj Božík. 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 Matěj Božík. The network helps show where Matěj Božík may publish in the future.
Co-authorship network of co-authors of Matěj Božík
This figure shows the co-authorship network connecting the top 25 collaborators of Matěj Božík. A scholar is included among the top collaborators of Matěj Božík 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 Matěj Božík. Matěj Božík 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.