Isabel Maida
About
In The Last Decade
Isabel Maida
45 papers receiving 999 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Isabel Maida Italy | 23 | 468 | 314 | 312 | 134 | 133 | 45 | 1.0k | ||
| Elena Perrin Italy | 23 | 544 1.2× | 354 1.1× | 296 0.9× | 135 1.0× | 123 0.9× | 60 | 1.2k | ||
| Akira Hosoyama Japan | 18 | 797 1.7× | 236 0.8× | 196 0.6× | 183 1.4× | 270 2.0× | 85 | 1.3k | ||
| Chengxiang Fang China | 26 | 1.2k 2.6× | 748 2.4× | 396 1.3× | 57 0.4× | 186 1.4× | 82 | 1.6k | ||
| Brian Foster United States | 14 | 384 0.8× | 184 0.6× | 380 1.2× | 51 0.4× | 226 1.7× | 26 | 955 | ||
| Kielo Haahtela Finland | 26 | 427 0.9× | 368 1.2× | 1.2k 3.9× | 300 2.2× | 138 1.0× | 54 | 2.0k | ||
| Marla Trindade South Africa | 15 | 313 0.7× | 239 0.8× | 144 0.5× | 99 0.7× | 124 0.9× | 42 | 737 | ||
| Alim Isnansetyo Indonesia | 18 | 261 0.6× | 138 0.4× | 155 0.5× | 42 0.3× | 182 1.4× | 103 | 1.1k | ||
| Manik Prabhu Narsing Rao China | 15 | 505 1.1× | 362 1.2× | 291 0.9× | 91 0.7× | 195 1.5× | 92 | 1.2k | ||
| A P Lipton India | 15 | 231 0.5× | 114 0.4× | 110 0.4× | 193 1.4× | 109 0.8× | 72 | 1.0k | ||
| Leonardo Joaquim van Zyl South Africa | 19 | 369 0.8× | 372 1.2× | 174 0.6× | 119 0.9× | 92 0.7× | 51 | 901 |
Countries citing papers authored by Isabel Maida
This map shows the geographic impact of Isabel Maida'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 Isabel Maida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Maida more than expected).
Fields of papers citing papers by Isabel Maida
This network shows the impact of papers produced by Isabel Maida. 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 Isabel Maida. The network helps show where Isabel Maida may publish in the future.
Co-authorship network of co-authors of Isabel Maida
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Maida. A scholar is included among the top collaborators of Isabel Maida 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 Isabel Maida. Isabel Maida 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.