Inmaculada Cabello
About
In The Last Decade
Inmaculada Cabello
45 papers receiving 668 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Inmaculada Cabello Spain | 16 | 564 | 396 | 123 | 71 | 55 | 46 | 673 | ||
| Nelly Pradelle-Plasse France | 11 | 322 0.6× | 257 0.6× | 142 1.2× | 41 0.6× | 59 1.1× | 22 | 461 | ||
| Elizabeta Gjorgievska North Macedonia | 15 | 476 0.8× | 337 0.9× | 98 0.8× | 139 2.0× | 75 1.4× | 39 | 653 | ||
| Gang Zheng China | 11 | 349 0.6× | 241 0.6× | 72 0.6× | 55 0.8× | 44 0.8× | 22 | 411 | ||
| Edina Lempel Hungary | 14 | 469 0.8× | 470 1.2× | 81 0.7× | 34 0.5× | 110 2.0× | 48 | 735 | ||
| R. Seseogullari-Dirihan Finland | 14 | 656 1.2× | 318 0.8× | 82 0.7× | 107 1.5× | 38 0.7× | 35 | 724 | ||
| Maria Teresa Atta Brazil | 12 | 392 0.7× | 325 0.8× | 45 0.4× | 40 0.6× | 78 1.4× | 36 | 515 | ||
| Jennifer Neo Singapore | 13 | 296 0.5× | 272 0.7× | 61 0.5× | 35 0.5× | 59 1.1× | 19 | 447 | ||
| Salah Hasab Mahmoud Egypt | 17 | 586 1.0× | 347 0.9× | 69 0.6× | 66 0.9× | 160 2.9× | 55 | 669 | ||
| Masato Hotta Japan | 9 | 304 0.5× | 168 0.4× | 48 0.4× | 92 1.3× | 65 1.2× | 28 | 379 | ||
| Rafael Rocha Pacheco Brazil | 13 | 425 0.8× | 223 0.6× | 40 0.3× | 35 0.5× | 99 1.8× | 47 | 503 |
Countries citing papers authored by Inmaculada Cabello
This map shows the geographic impact of Inmaculada Cabello'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 Inmaculada Cabello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inmaculada Cabello more than expected).
Fields of papers citing papers by Inmaculada Cabello
This network shows the impact of papers produced by Inmaculada Cabello. 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 Inmaculada Cabello. The network helps show where Inmaculada Cabello may publish in the future.
Co-authorship network of co-authors of Inmaculada Cabello
This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Cabello. A scholar is included among the top collaborators of Inmaculada Cabello 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 Inmaculada Cabello. Inmaculada Cabello 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.