Maite Agüeros
About
In The Last Decade
Maite Agüeros
21 papers receiving 1.1k 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 Agüeros Spain | 17 | 497 | 471 | 279 | 140 | 133 | 21 | 1.1k | ||
| Aviral Jain India | 20 | 483 1.0× | 372 0.8× | 388 1.4× | 134 1.0× | 153 1.2× | 49 | 1.2k | ||
| Katerina Goračinova North Macedonia | 17 | 556 1.1× | 371 0.8× | 203 0.7× | 177 1.3× | 124 0.9× | 47 | 1.1k | ||
| Raida Al‐Kassas New Zealand | 19 | 818 1.6× | 389 0.8× | 417 1.5× | 128 0.9× | 233 1.8× | 39 | 1.6k | ||
| Islam A. Khalil Egypt | 20 | 415 0.8× | 405 0.9× | 204 0.7× | 123 0.9× | 231 1.7× | 53 | 1.2k | ||
| Narong Sarisuta Thailand | 20 | 370 0.7× | 332 0.7× | 335 1.2× | 87 0.6× | 176 1.3× | 51 | 1.0k | ||
| Upendra Kumar Jain India | 20 | 330 0.7× | 402 0.9× | 364 1.3× | 101 0.7× | 171 1.3× | 75 | 1.2k | ||
| Vivek K. Pawar India | 20 | 556 1.1× | 376 0.8× | 339 1.2× | 110 0.8× | 240 1.8× | 39 | 1.5k | ||
| Eleonora Russo Italy | 19 | 550 1.1× | 317 0.7× | 256 0.9× | 161 1.1× | 148 1.1× | 54 | 1.4k | ||
| Alaa Eldeen B. Yassin Saudi Arabia | 19 | 618 1.2× | 276 0.6× | 300 1.1× | 131 0.9× | 132 1.0× | 46 | 1.1k | ||
| Behzad Sharif Makhmalzadeh Iran | 22 | 407 0.8× | 243 0.5× | 177 0.6× | 230 1.6× | 112 0.8× | 59 | 1.1k |
Countries citing papers authored by Maite Agüeros
This map shows the geographic impact of Maite Agüeros'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 Agüeros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maite Agüeros more than expected).
Fields of papers citing papers by Maite Agüeros
This network shows the impact of papers produced by Maite Agüeros. 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 Agüeros. The network helps show where Maite Agüeros may publish in the future.
Co-authorship network of co-authors of Maite Agüeros
This figure shows the co-authorship network connecting the top 25 collaborators of Maite Agüeros. A scholar is included among the top collaborators of Maite Agüeros 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 Agüeros. Maite Agüeros 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.