Mònica Suelves
About
In The Last Decade
Mònica Suelves
26 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mònica Suelves Spain | 16 | 906 | 157 | 140 | 120 | 114 | 26 | 1.1k | ||
| Frederic Lluı́s Spain | 20 | 1.1k 1.2× | 152 1.0× | 130 0.9× | 84 0.7× | 180 1.6× | 32 | 1.3k | ||
| Barbora Malecová United States | 15 | 901 1.0× | 77 0.5× | 179 1.3× | 147 1.2× | 147 1.3× | 20 | 1.1k | ||
| Xavier Nissan France | 16 | 811 0.9× | 129 0.8× | 88 0.6× | 87 0.7× | 82 0.7× | 39 | 1.1k | ||
| Yefei Wen United States | 12 | 870 1.0× | 121 0.8× | 257 1.8× | 170 1.4× | 187 1.6× | 16 | 1.0k | ||
| Maura H. Parker United States | 11 | 1.0k 1.1× | 108 0.7× | 102 0.7× | 103 0.9× | 135 1.2× | 20 | 1.2k | ||
| Sajedah M. Hindi United States | 19 | 886 1.0× | 123 0.8× | 285 2.0× | 116 1.0× | 147 1.3× | 24 | 1.1k | ||
| Xiaozhong Shi United States | 20 | 1.2k 1.3× | 133 0.8× | 122 0.9× | 114 0.9× | 223 2.0× | 29 | 1.4k | ||
| Tohru Hosoyama Japan | 23 | 777 0.9× | 123 0.8× | 245 1.8× | 242 2.0× | 293 2.6× | 56 | 1.3k | ||
| Sonia Vanina Forcales United States | 17 | 1.8k 2.0× | 176 1.1× | 169 1.2× | 131 1.1× | 270 2.4× | 31 | 2.1k | ||
| Qiang Zhuang China | 15 | 786 0.9× | 106 0.7× | 58 0.4× | 97 0.8× | 197 1.7× | 34 | 1.2k |
Countries citing papers authored by Mònica Suelves
This map shows the geographic impact of Mònica Suelves'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 Mònica Suelves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mònica Suelves more than expected).
Fields of papers citing papers by Mònica Suelves
This network shows the impact of papers produced by Mònica Suelves. 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 Mònica Suelves. The network helps show where Mònica Suelves may publish in the future.
Co-authorship network of co-authors of Mònica Suelves
This figure shows the co-authorship network connecting the top 25 collaborators of Mònica Suelves. A scholar is included among the top collaborators of Mònica Suelves 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 Mònica Suelves. Mònica Suelves 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.