Tapio Utriainen
About
In The Last Decade
Tapio Utriainen
41 papers receiving 2.3k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tapio Utriainen Finland | 22 | 835 | 552 | 459 | 407 | 386 | 41 | 2.4k | ||
| Hitoshi Sumida Japan | 28 | 1.8k 2.1× | 385 0.7× | 341 0.7× | 463 1.1× | 512 1.3× | 68 | 2.9k | ||
| Makoto Usui Japan | 27 | 1.4k 1.7× | 828 1.5× | 241 0.5× | 393 1.0× | 1.0k 2.7× | 51 | 3.3k | ||
| Susana Ravassa Spain | 34 | 2.0k 2.4× | 275 0.5× | 283 0.6× | 425 1.0× | 1.2k 3.0× | 90 | 3.4k | ||
| Julian D. Widder Germany | 25 | 1.5k 1.8× | 694 1.3× | 132 0.3× | 281 0.7× | 768 2.0× | 49 | 2.9k | ||
| Vlad G. Zaha United States | 22 | 1.3k 1.6× | 659 1.2× | 263 0.6× | 192 0.5× | 1.1k 2.8× | 61 | 2.5k | ||
| Hannu Leinonen Finland | 18 | 869 1.0× | 191 0.3× | 228 0.5× | 100 0.2× | 359 0.9× | 40 | 1.8k | ||
| William P. Dole United States | 34 | 1.9k 2.2× | 397 0.7× | 300 0.7× | 1.0k 2.6× | 660 1.7× | 84 | 3.7k | ||
| Loek van Heerebeek Netherlands | 17 | 2.9k 3.4× | 290 0.5× | 366 0.8× | 471 1.2× | 568 1.5× | 33 | 3.4k | ||
| Masao Takemoto Japan | 15 | 1.7k 2.0× | 825 1.5× | 205 0.4× | 315 0.8× | 889 2.3× | 66 | 3.4k | ||
| Daisuke Fujioka Japan | 31 | 1.1k 1.3× | 336 0.6× | 256 0.6× | 357 0.9× | 570 1.5× | 87 | 2.5k |
Countries citing papers authored by Tapio Utriainen
This map shows the geographic impact of Tapio Utriainen'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 Tapio Utriainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapio Utriainen more than expected).
Fields of papers citing papers by Tapio Utriainen
This network shows the impact of papers produced by Tapio Utriainen. 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 Tapio Utriainen. The network helps show where Tapio Utriainen may publish in the future.
Co-authorship network of co-authors of Tapio Utriainen
This figure shows the co-authorship network connecting the top 25 collaborators of Tapio Utriainen. A scholar is included among the top collaborators of Tapio Utriainen 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 Tapio Utriainen. Tapio Utriainen 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.