María Inês Días
About
In The Last Decade
María Inês Días
194 papers receiving 5.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| María Inês Días Portugal | 40 | 2.3k | 2.3k | 2.1k | 1.0k | 646 | 202 | 5.4k | ||
| Katarina Šavikin Serbia | 42 | 2.4k 1.0× | 2.6k 1.1× | 2.2k 1.0× | 1.3k 1.2× | 888 1.4× | 246 | 5.8k | ||
| J. Fernando Ayala‐Zavala Mexico | 48 | 3.4k 1.5× | 3.0k 1.3× | 2.4k 1.1× | 1.2k 1.2× | 996 1.5× | 169 | 7.7k | ||
| Pradeep Singh Negi India | 37 | 2.2k 0.9× | 2.1k 0.9× | 1.5k 0.7× | 1.1k 1.1× | 754 1.2× | 129 | 5.7k | ||
| Edy Sousa de Brito Brazil | 45 | 3.2k 1.4× | 2.5k 1.1× | 2.3k 1.1× | 1.0k 1.0× | 992 1.5× | 254 | 7.4k | ||
| Alicja Z. Kucharska Poland | 36 | 1.8k 0.8× | 1.4k 0.6× | 2.0k 0.9× | 823 0.8× | 558 0.9× | 148 | 4.2k | ||
| Elhadi M. Yahia Mexico | 44 | 2.2k 1.0× | 3.9k 1.7× | 2.3k 1.1× | 1.0k 1.0× | 738 1.1× | 177 | 7.3k | ||
| J. Basilio Heredia Mexico | 31 | 1.6k 0.7× | 1.5k 0.7× | 1.4k 0.7× | 1.2k 1.2× | 528 0.8× | 144 | 4.6k | ||
| Ronald B. Pegg United States | 42 | 2.3k 1.0× | 1.9k 0.8× | 2.5k 1.2× | 1.4k 1.3× | 1.2k 1.9× | 160 | 6.7k | ||
| Tünde Juríková Slovakia | 31 | 1.2k 0.5× | 1.8k 0.8× | 1.9k 0.9× | 870 0.8× | 537 0.8× | 96 | 4.5k | ||
| Ana María Gómez‐Caravaca Spain | 44 | 2.9k 1.2× | 1.4k 0.6× | 2.4k 1.2× | 973 0.9× | 1.1k 1.7× | 140 | 6.3k |
Countries citing papers authored by María Inês Días
This map shows the geographic impact of María Inês Días'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 María Inês Días with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Inês Días more than expected).
Fields of papers citing papers by María Inês Días
This network shows the impact of papers produced by María Inês Días. 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 María Inês Días. The network helps show where María Inês Días may publish in the future.
Co-authorship network of co-authors of María Inês Días
This figure shows the co-authorship network connecting the top 25 collaborators of María Inês Días. A scholar is included among the top collaborators of María Inês Días 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 María Inês Días. María Inês Días 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.