Inmaculada Salcedo‐Bellido
About
In The Last Decade
Inmaculada Salcedo‐Bellido
53 papers receiving 1.4k 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 Salcedo‐Bellido Spain | 21 | 394 | 305 | 208 | 201 | 143 | 54 | 1.4k | ||
| Jeong-A Lee South Korea | 16 | 135 0.3× | 51 0.2× | 33 0.2× | 37 0.2× | 170 1.2× | 53 | 877 | ||
| Yanwu Zhang China | 23 | 238 0.6× | 57 0.2× | 44 0.2× | 68 0.3× | 426 3.0× | 64 | 1.7k | ||
| Yuan He China | 24 | 170 0.4× | 207 0.7× | 4 0.0× | 165 0.8× | 135 0.9× | 68 | 2.0k | ||
| Tiancheng Wang China | 23 | 285 0.7× | 960 3.1× | 13 0.1× | 75 0.4× | 1.3k 9.4× | 79 | 2.8k | ||
| Luca Fontana Italy | 24 | 87 0.2× | 820 2.7× | 7 0.0× | 247 1.2× | 651 4.6× | 75 | 2.3k | ||
| Miloš Jovanović Serbia | 11 | 387 1.0× | 250 0.8× | 10 0.0× | 27 0.1× | 47 0.3× | 33 | 1.4k | ||
| Kyung Ju Lee South Korea | 24 | 58 0.1× | 255 0.8× | 14 0.1× | 196 1.0× | 437 3.1× | 109 | 2.1k | ||
| Aleksandra Kasperczyk Poland | 26 | 76 0.2× | 788 2.6× | 16 0.1× | 193 1.0× | 48 0.3× | 89 | 1.8k | ||
| Tingting Hu China | 18 | 166 0.4× | 48 0.2× | 91 0.4× | 25 0.1× | 92 0.6× | 64 | 968 | ||
| Miri Baek South Korea | 9 | 185 0.5× | 135 0.4× | 44 0.2× | 28 0.1× | 446 3.1× | 12 | 753 |
Countries citing papers authored by Inmaculada Salcedo‐Bellido
This map shows the geographic impact of Inmaculada Salcedo‐Bellido'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 Salcedo‐Bellido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inmaculada Salcedo‐Bellido more than expected).
Fields of papers citing papers by Inmaculada Salcedo‐Bellido
This network shows the impact of papers produced by Inmaculada Salcedo‐Bellido. 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 Salcedo‐Bellido. The network helps show where Inmaculada Salcedo‐Bellido may publish in the future.
Co-authorship network of co-authors of Inmaculada Salcedo‐Bellido
This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Salcedo‐Bellido. A scholar is included among the top collaborators of Inmaculada Salcedo‐Bellido 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 Salcedo‐Bellido. Inmaculada Salcedo‐Bellido 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.