Mario de la Mata
About
In The Last Decade
Mario de la Mata
34 papers receiving 1.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mario de la Mata Spain | 22 | 937 | 403 | 260 | 163 | 162 | 36 | 1.6k | ||
| Ting Qian United States | 15 | 1.2k 1.3× | 760 1.9× | 194 0.7× | 269 1.7× | 212 1.3× | 27 | 2.3k | ||
| Hye Young Kim South Korea | 25 | 693 0.7× | 379 0.9× | 249 1.0× | 78 0.5× | 108 0.7× | 100 | 1.8k | ||
| Hong Shen United States | 29 | 660 0.7× | 367 0.9× | 252 1.0× | 136 0.8× | 79 0.5× | 60 | 1.9k | ||
| Frank Gaunitz Germany | 26 | 1.1k 1.2× | 150 0.4× | 501 1.9× | 170 1.0× | 233 1.4× | 76 | 2.1k | ||
| Marina Villanueva‐Paz Spain | 18 | 703 0.8× | 247 0.6× | 206 0.8× | 51 0.3× | 120 0.7× | 34 | 1.2k | ||
| Y Nishimura Japan | 15 | 1.2k 1.3× | 462 1.1× | 326 1.3× | 334 2.0× | 142 0.9× | 28 | 2.4k | ||
| Robert A. Egnatchik United States | 14 | 790 0.8× | 484 1.2× | 218 0.8× | 59 0.4× | 215 1.3× | 16 | 1.5k | ||
| Liang Yang China | 32 | 2.2k 2.3× | 311 0.8× | 145 0.6× | 63 0.4× | 309 1.9× | 77 | 3.0k | ||
| Song Iy Han South Korea | 30 | 1.6k 1.8× | 299 0.7× | 192 0.7× | 94 0.6× | 194 1.2× | 75 | 2.9k | ||
| Hyunseung Lee South Korea | 31 | 1.1k 1.2× | 245 0.6× | 121 0.5× | 116 0.7× | 76 0.5× | 107 | 2.5k |
Countries citing papers authored by Mario de la Mata
This map shows the geographic impact of Mario de la Mata'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 Mario de la Mata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario de la Mata more than expected).
Fields of papers citing papers by Mario de la Mata
This network shows the impact of papers produced by Mario de la Mata. 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 Mario de la Mata. The network helps show where Mario de la Mata may publish in the future.
Co-authorship network of co-authors of Mario de la Mata
This figure shows the co-authorship network connecting the top 25 collaborators of Mario de la Mata. A scholar is included among the top collaborators of Mario de la Mata 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 Mario de la Mata. Mario de la Mata 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.