Natasa Vidic
About
In The Last Decade
Natasa Vidic
13 papers receiving 478 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Natasa Vidic United States | 7 | 259 | 143 | 118 | 85 | 84 | 14 | 486 | ||
| Christopher Harto United States | 6 | 197 0.8× | 95 0.7× | 115 1.0× | 112 1.3× | 32 0.4× | 13 | 402 | ||
| Jiehui Yuan China | 10 | 126 0.5× | 179 1.3× | 135 1.1× | 92 1.1× | 32 0.4× | 21 | 530 | ||
| Wensheng Zhang China | 10 | 27 0.1× | 80 0.6× | 71 0.6× | 127 1.5× | 26 0.3× | 28 | 659 | ||
| Omkar Deo United States | 7 | 44 0.2× | 37 0.3× | 29 0.2× | 641 7.5× | 19 0.2× | 10 | 929 | ||
| Milani S. Sumanasooriya United States | 8 | 42 0.2× | 34 0.2× | 34 0.3× | 584 6.9× | 20 0.2× | 10 | 874 | ||
| Valerio C. Andrés‐Valeri Spain | 18 | 95 0.4× | 26 0.2× | 32 0.3× | 413 4.9× | 22 0.3× | 31 | 767 | ||
| Udayan Singh United States | 12 | 89 0.3× | 44 0.3× | 239 2.0× | 213 2.5× | 50 0.6× | 36 | 486 | ||
| David Jones United States | 20 | 34 0.1× | 40 0.3× | 173 1.5× | 371 4.4× | 21 0.3× | 147 | 1.5k | ||
| James Littlefield United States | 9 | 127 0.5× | 39 0.3× | 123 1.0× | 114 1.3× | 29 0.3× | 20 | 353 | ||
| Yunbing Hou China | 12 | 54 0.2× | 96 0.7× | 207 1.8× | 288 3.4× | 66 0.8× | 36 | 665 |
Countries citing papers authored by Natasa Vidic
This map shows the geographic impact of Natasa Vidic'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 Natasa Vidic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasa Vidic more than expected).
Fields of papers citing papers by Natasa Vidic
This network shows the impact of papers produced by Natasa Vidic. 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 Natasa Vidic. The network helps show where Natasa Vidic may publish in the future.
Co-authorship network of co-authors of Natasa Vidic
This figure shows the co-authorship network connecting the top 25 collaborators of Natasa Vidic. A scholar is included among the top collaborators of Natasa Vidic 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 Natasa Vidic. Natasa Vidic 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.