Ina Pavlova
About
In The Last Decade
Ina Pavlova
21 papers receiving 2.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ina Pavlova United States | 15 | 1000 | 597 | 574 | 444 | 346 | 22 | 2.6k | ||
| Angelo H. All United States | 31 | 1.3k 1.3× | 788 1.3× | 297 0.5× | 94 0.2× | 123 0.4× | 72 | 3.8k | ||
| Bobbi K. Lewis United States | 29 | 1.7k 1.7× | 1.2k 2.0× | 344 0.6× | 113 0.3× | 912 2.6× | 48 | 4.9k | ||
| Robia G. Pautler United States | 34 | 550 0.6× | 1.2k 2.0× | 140 0.2× | 87 0.2× | 964 2.8× | 82 | 4.4k | ||
| Oren Sagher United States | 32 | 662 0.7× | 521 0.9× | 59 0.1× | 638 1.4× | 276 0.8× | 85 | 4.0k | ||
| Yajie Liang United States | 29 | 640 0.6× | 840 1.4× | 203 0.4× | 906 2.0× | 316 0.9× | 74 | 3.4k | ||
| Sun Ha Paek South Korea | 50 | 990 1.0× | 1.8k 3.0× | 207 0.4× | 97 0.2× | 440 1.3× | 320 | 9.4k | ||
| Daniel Coman United States | 25 | 204 0.2× | 536 0.9× | 113 0.2× | 121 0.3× | 494 1.4× | 68 | 1.9k | ||
| Matthias Kirsch Germany | 30 | 583 0.6× | 913 1.5× | 79 0.1× | 820 1.8× | 440 1.3× | 114 | 2.6k | ||
| Michel Modo United Kingdom | 43 | 1.2k 1.2× | 1.8k 3.0× | 1.1k 1.9× | 126 0.3× | 876 2.5× | 137 | 6.2k | ||
| Jie Wang China | 29 | 400 0.4× | 1.4k 2.4× | 80 0.1× | 69 0.2× | 121 0.3× | 139 | 3.3k |
Countries citing papers authored by Ina Pavlova
This map shows the geographic impact of Ina Pavlova'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 Ina Pavlova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ina Pavlova more than expected).
Fields of papers citing papers by Ina Pavlova
This network shows the impact of papers produced by Ina Pavlova. 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 Ina Pavlova. The network helps show where Ina Pavlova may publish in the future.
Co-authorship network of co-authors of Ina Pavlova
This figure shows the co-authorship network connecting the top 25 collaborators of Ina Pavlova. A scholar is included among the top collaborators of Ina Pavlova 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 Ina Pavlova. Ina Pavlova 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.