Eva Noyola
About
In The Last Decade
Eva Noyola
21 papers receiving 881 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Eva Noyola United States | 16 | 907 | 279 | 97 | 95 | 17 | 22 | 920 | ||
| Nora Lützgendorf United States | 17 | 1.1k 1.2× | 299 1.1× | 90 0.9× | 89 0.9× | 14 0.8× | 29 | 1.1k | ||
| Christopher B. Moore United States | 7 | 805 0.9× | 295 1.1× | 51 0.5× | 130 1.4× | 23 1.4× | 7 | 808 | ||
| Cláudia Winge Brazil | 19 | 893 1.0× | 239 0.9× | 51 0.5× | 69 0.7× | 17 1.0× | 32 | 912 | ||
| Joshua J. Adams United States | 12 | 775 0.9× | 291 1.0× | 56 0.6× | 224 2.4× | 22 1.3× | 14 | 791 | ||
| A. Eckart Germany | 9 | 671 0.7× | 99 0.4× | 51 0.5× | 80 0.8× | 9 0.5× | 9 | 689 | ||
| W. Rujopakarn Thailand | 17 | 768 0.8× | 328 1.2× | 26 0.3× | 85 0.9× | 16 0.9× | 39 | 787 | ||
| R. F. Green United States | 15 | 701 0.8× | 185 0.7× | 36 0.4× | 135 1.4× | 15 0.9× | 25 | 721 | ||
| S. G. Neff United States | 19 | 802 0.9× | 270 1.0× | 33 0.3× | 146 1.5× | 10 0.6× | 46 | 825 | ||
| K. W. Cavagnolo United States | 8 | 690 0.8× | 157 0.6× | 57 0.6× | 155 1.6× | 16 0.9× | 9 | 732 | ||
| R. M. Light United States | 14 | 763 0.8× | 283 1.0× | 61 0.6× | 33 0.3× | 16 0.9× | 19 | 774 |
Countries citing papers authored by Eva Noyola
This map shows the geographic impact of Eva Noyola'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 Eva Noyola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Noyola more than expected).
Fields of papers citing papers by Eva Noyola
This network shows the impact of papers produced by Eva Noyola. 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 Eva Noyola. The network helps show where Eva Noyola may publish in the future.
Co-authorship network of co-authors of Eva Noyola
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Noyola. A scholar is included among the top collaborators of Eva Noyola 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 Eva Noyola. Eva Noyola 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.