Maite García‐Vallés
About
In The Last Decade
Maite García‐Vallés
89 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maite García‐Vallés Spain | 23 | 538 | 367 | 290 | 261 | 183 | 91 | 1.6k | ||
| Carmela Vaccaro Italy | 25 | 344 0.6× | 358 1.0× | 195 0.7× | 147 0.6× | 335 1.8× | 124 | 2.2k | ||
| Andrea Bloise Italy | 27 | 531 1.0× | 445 1.2× | 318 1.1× | 84 0.3× | 191 1.0× | 111 | 1.8k | ||
| Piergiulio Cappelletti Italy | 33 | 875 1.6× | 467 1.3× | 396 1.4× | 595 2.3× | 401 2.2× | 107 | 2.9k | ||
| Maurizio de Gennaro Italy | 21 | 331 0.6× | 159 0.4× | 126 0.4× | 211 0.8× | 152 0.8× | 35 | 1.1k | ||
| Alessio Langella Italy | 36 | 1.2k 2.3× | 982 2.7× | 597 2.1× | 622 2.4× | 368 2.0× | 114 | 3.2k | ||
| Aurélie Verney‐Carron France | 20 | 377 0.7× | 273 0.7× | 181 0.6× | 53 0.2× | 189 1.0× | 42 | 896 | ||
| Domenico Miriello Italy | 26 | 859 1.6× | 812 2.2× | 544 1.9× | 73 0.3× | 113 0.6× | 108 | 1.8k | ||
| Richard Přikryl Czechia | 26 | 694 1.3× | 230 0.6× | 222 0.8× | 248 1.0× | 113 0.6× | 88 | 2.0k | ||
| María Isabel Dias Portugal | 21 | 458 0.9× | 540 1.5× | 135 0.5× | 132 0.5× | 54 0.3× | 112 | 1.5k | ||
| Kerstin Elert Spain | 23 | 1.3k 2.3× | 563 1.5× | 450 1.6× | 571 2.2× | 191 1.0× | 58 | 2.1k |
Countries citing papers authored by Maite García‐Vallés
This map shows the geographic impact of Maite García‐Vallés'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 Maite García‐Vallés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maite García‐Vallés more than expected).
Fields of papers citing papers by Maite García‐Vallés
This network shows the impact of papers produced by Maite García‐Vallés. 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 Maite García‐Vallés. The network helps show where Maite García‐Vallés may publish in the future.
Co-authorship network of co-authors of Maite García‐Vallés
This figure shows the co-authorship network connecting the top 25 collaborators of Maite García‐Vallés. A scholar is included among the top collaborators of Maite García‐Vallés 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 Maite García‐Vallés. Maite García‐Vallés 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.