Japo Jussila
About
In The Last Decade
Japo Jussila
64 papers receiving 1.7k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Japo Jussila Finland | 27 | 1.3k | 522 | 388 | 225 | 216 | 64 | 1.7k | ||
| Jenny Makkonen Finland | 20 | 803 0.6× | 295 0.6× | 139 0.4× | 108 0.5× | 146 0.7× | 49 | 1.1k | ||
| Kate S. Hutson Australia | 22 | 1.1k 0.9× | 416 0.8× | 363 0.9× | 253 1.1× | 142 0.7× | 74 | 1.5k | ||
| Lennart Edsman Sweden | 18 | 769 0.6× | 176 0.3× | 136 0.4× | 245 1.1× | 139 0.6× | 39 | 986 | ||
| Anne E. Lockyer United Kingdom | 23 | 1.3k 1.0× | 151 0.3× | 95 0.2× | 262 1.2× | 162 0.8× | 36 | 1.9k | ||
| Marianne Køie Denmark | 28 | 1.8k 1.4× | 192 0.4× | 266 0.7× | 771 3.4× | 167 0.8× | 73 | 2.1k | ||
| Lingbo Ma China | 19 | 546 0.4× | 309 0.6× | 442 1.1× | 102 0.5× | 58 0.3× | 116 | 1.3k | ||
| Carmen López Spain | 24 | 621 0.5× | 364 0.7× | 161 0.4× | 622 2.8× | 71 0.3× | 58 | 1.8k | ||
| Padermsak Jarayabhand Thailand | 18 | 300 0.2× | 345 0.7× | 460 1.2× | 351 1.6× | 58 0.3× | 44 | 1.1k | ||
| Melony J. Sellars Australia | 20 | 391 0.3× | 366 0.7× | 718 1.9× | 192 0.9× | 24 0.1× | 66 | 1.2k | ||
| Peva Levy French Polynesia | 13 | 243 0.2× | 566 1.1× | 429 1.1× | 213 0.9× | 64 0.3× | 19 | 998 |
Countries citing papers authored by Japo Jussila
This map shows the geographic impact of Japo Jussila'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 Japo Jussila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Japo Jussila more than expected).
Fields of papers citing papers by Japo Jussila
This network shows the impact of papers produced by Japo Jussila. 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 Japo Jussila. The network helps show where Japo Jussila may publish in the future.
Co-authorship network of co-authors of Japo Jussila
This figure shows the co-authorship network connecting the top 25 collaborators of Japo Jussila. A scholar is included among the top collaborators of Japo Jussila 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 Japo Jussila. Japo Jussila 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.