Wanja Kildal
About
In The Last Decade
Wanja Kildal
35 papers receiving 616 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wanja Kildal Norway | 14 | 214 | 188 | 149 | 149 | 92 | 37 | 625 | ||
| Dilu Feng China | 14 | 370 1.7× | 80 0.4× | 180 1.2× | 219 1.5× | 113 1.2× | 26 | 649 | ||
| Lingxiong Wang China | 14 | 296 1.4× | 148 0.8× | 188 1.3× | 170 1.1× | 63 0.7× | 29 | 670 | ||
| Ji‐Han Jung South Korea | 15 | 265 1.2× | 140 0.7× | 282 1.9× | 119 0.8× | 29 0.3× | 34 | 667 | ||
| Steve Swenson United States | 11 | 289 1.4× | 107 0.6× | 217 1.5× | 86 0.6× | 258 2.8× | 19 | 658 | ||
| Clara Salamanca Canada | 12 | 382 1.8× | 70 0.4× | 178 1.2× | 170 1.1× | 290 3.2× | 15 | 708 | ||
| Cynthia Aparecida Bueno de Toledo Osório Brazil | 18 | 204 1.0× | 110 0.6× | 260 1.7× | 311 2.1× | 38 0.4× | 49 | 786 | ||
| Hélène Bonsang‐Kitzis France | 16 | 169 0.8× | 81 0.4× | 326 2.2× | 267 1.8× | 106 1.2× | 39 | 766 | ||
| Deepti P. Wilks United Kingdom | 8 | 303 1.4× | 76 0.4× | 149 1.0× | 129 0.9× | 36 0.4× | 11 | 499 | ||
| Charles Schweizer United States | 13 | 146 0.7× | 208 1.1× | 332 2.2× | 57 0.4× | 170 1.8× | 24 | 703 | ||
| Virpi Rantanen Finland | 14 | 283 1.3× | 118 0.6× | 411 2.8× | 149 1.0× | 70 0.8× | 33 | 736 |
Countries citing papers authored by Wanja Kildal
This map shows the geographic impact of Wanja Kildal'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 Wanja Kildal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanja Kildal more than expected).
Fields of papers citing papers by Wanja Kildal
This network shows the impact of papers produced by Wanja Kildal. 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 Wanja Kildal. The network helps show where Wanja Kildal may publish in the future.
Co-authorship network of co-authors of Wanja Kildal
This figure shows the co-authorship network connecting the top 25 collaborators of Wanja Kildal. A scholar is included among the top collaborators of Wanja Kildal 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 Wanja Kildal. Wanja Kildal 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.