María‐Dolores Tabar
About
In The Last Decade
María‐Dolores Tabar
16 papers receiving 426 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‐Dolores Tabar Spain | 10 | 281 | 201 | 195 | 142 | 57 | 16 | 442 | ||
| Maryse Enea France | 5 | 336 1.2× | 190 0.9× | 155 0.8× | 103 0.7× | 40 0.7× | 5 | 656 | ||
| Charalampos Attipa United Kingdom | 12 | 201 0.7× | 169 0.8× | 158 0.8× | 93 0.7× | 50 0.9× | 22 | 330 | ||
| P Lestrade Netherlands | 7 | 360 1.3× | 204 1.0× | 194 1.0× | 55 0.4× | 59 1.0× | 14 | 391 | ||
| Renata Santiago Alberto Carlos Brazil | 10 | 144 0.5× | 161 0.8× | 50 0.3× | 61 0.4× | 44 0.8× | 48 | 260 | ||
| Katharina Boden Germany | 10 | 192 0.7× | 153 0.8× | 70 0.4× | 45 0.3× | 81 1.4× | 19 | 284 | ||
| Linda M. Berent United States | 11 | 289 1.0× | 174 0.9× | 41 0.2× | 103 0.7× | 29 0.5× | 22 | 474 | ||
| Elizabeth A. Dietrich United States | 13 | 79 0.3× | 253 1.3× | 146 0.7× | 72 0.5× | 18 0.3× | 27 | 466 | ||
| A Joss United Kingdom | 16 | 478 1.7× | 214 1.1× | 53 0.3× | 395 2.8× | 38 0.7× | 45 | 633 | ||
| Aleš Chrdle Czechia | 10 | 319 1.1× | 387 1.9× | 303 1.6× | 68 0.5× | 46 0.8× | 36 | 552 | ||
| Nandhakumar Balakrishnan United States | 13 | 249 0.9× | 194 1.0× | 56 0.3× | 40 0.3× | 30 0.5× | 21 | 318 |
Countries citing papers authored by María‐Dolores Tabar
This map shows the geographic impact of María‐Dolores Tabar'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‐Dolores Tabar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María‐Dolores Tabar more than expected).
Fields of papers citing papers by María‐Dolores Tabar
This network shows the impact of papers produced by María‐Dolores Tabar. 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‐Dolores Tabar. The network helps show where María‐Dolores Tabar may publish in the future.
Co-authorship network of co-authors of María‐Dolores Tabar
This figure shows the co-authorship network connecting the top 25 collaborators of María‐Dolores Tabar. A scholar is included among the top collaborators of María‐Dolores Tabar 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‐Dolores Tabar. María‐Dolores Tabar 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.