Tone Hovda
About
In The Last Decade
Tone Hovda
16 papers receiving 301 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tone Hovda Norway | 9 | 226 | 186 | 170 | 139 | 32 | 19 | 302 | ||
| Sally D. Herschorn United States | 4 | 240 1.1× | 264 1.4× | 153 0.9× | 126 0.9× | 41 1.3× | 5 | 319 | ||
| Andrew Oustimov United States | 6 | 228 1.0× | 218 1.2× | 187 1.1× | 102 0.7× | 42 1.3× | 9 | 317 | ||
| Sara Bundred United Kingdom | 6 | 161 0.7× | 142 0.8× | 73 0.4× | 202 1.5× | 48 1.5× | 9 | 295 | ||
| Johanna O. P. Wanders Netherlands | 5 | 142 0.6× | 159 0.9× | 82 0.5× | 110 0.8× | 41 1.3× | 5 | 236 | ||
| Bjørn Helge Østerås Norway | 9 | 228 1.0× | 250 1.3× | 200 1.2× | 107 0.8× | 45 1.4× | 14 | 356 | ||
| Einar Vigeland Norway | 6 | 198 0.9× | 213 1.1× | 113 0.7× | 182 1.3× | 65 2.0× | 11 | 329 | ||
| Magnus Dustler Sweden | 11 | 290 1.3× | 270 1.5× | 301 1.8× | 116 0.8× | 79 2.5× | 54 | 479 | ||
| Caixia Sun China | 8 | 109 0.5× | 59 0.3× | 229 1.3× | 56 0.4× | 35 1.1× | 16 | 282 | ||
| Soujanya Gadde United Kingdom | 7 | 167 0.7× | 148 0.8× | 87 0.5× | 216 1.6× | 56 1.8× | 12 | 337 | ||
| Rita Vacondio Italy | 8 | 115 0.5× | 168 0.9× | 142 0.8× | 78 0.6× | 76 2.4× | 11 | 260 |
Countries citing papers authored by Tone Hovda
This map shows the geographic impact of Tone Hovda'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 Tone Hovda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tone Hovda more than expected).
Fields of papers citing papers by Tone Hovda
This network shows the impact of papers produced by Tone Hovda. 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 Tone Hovda. The network helps show where Tone Hovda may publish in the future.
Co-authorship network of co-authors of Tone Hovda
This figure shows the co-authorship network connecting the top 25 collaborators of Tone Hovda. A scholar is included among the top collaborators of Tone Hovda 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 Tone Hovda. Tone Hovda 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.