Anne‐Maria Pajari
About
In The Last Decade
Anne‐Maria Pajari
62 papers receiving 879 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Anne‐Maria Pajari Finland | 17 | 243 | 231 | 210 | 197 | 168 | 67 | 911 | ||
| Christopher P. F. Marinangeli Canada | 23 | 254 1.0× | 358 1.5× | 214 1.0× | 284 1.4× | 328 2.0× | 61 | 1.4k | ||
| Virginia Messina United States | 13 | 101 0.4× | 243 1.1× | 193 0.9× | 206 1.0× | 187 1.1× | 24 | 872 | ||
| Chao Xiao China | 14 | 353 1.5× | 298 1.3× | 85 0.4× | 242 1.2× | 181 1.1× | 39 | 1.3k | ||
| Giuseppe Martino Italy | 24 | 457 1.9× | 289 1.3× | 101 0.5× | 469 2.4× | 44 0.3× | 117 | 1.9k | ||
| Essi Päivärinta Finland | 11 | 108 0.4× | 88 0.4× | 132 0.6× | 82 0.4× | 98 0.6× | 25 | 430 | ||
| Hatice Kalkan Yı̇ldırım Türkiye | 19 | 423 1.7× | 134 0.6× | 43 0.2× | 346 1.8× | 54 0.3× | 85 | 1.3k | ||
| Dominique Gruffat France | 23 | 297 1.2× | 464 2.0× | 58 0.3× | 96 0.5× | 36 0.2× | 84 | 1.5k | ||
| Wiebke Schlörmann Germany | 17 | 238 1.0× | 410 1.8× | 34 0.2× | 151 0.8× | 53 0.3× | 39 | 843 | ||
| Reggie Surya Indonesia | 11 | 196 0.8× | 137 0.6× | 27 0.1× | 223 1.1× | 89 0.5× | 65 | 637 | ||
| Sue Aspinall United Kingdom | 10 | 554 2.3× | 91 0.4× | 38 0.2× | 58 0.3× | 128 0.8× | 14 | 1.0k |
Countries citing papers authored by Anne‐Maria Pajari
This map shows the geographic impact of Anne‐Maria Pajari'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 Anne‐Maria Pajari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Maria Pajari more than expected).
Fields of papers citing papers by Anne‐Maria Pajari
This network shows the impact of papers produced by Anne‐Maria Pajari. 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 Anne‐Maria Pajari. The network helps show where Anne‐Maria Pajari may publish in the future.
Co-authorship network of co-authors of Anne‐Maria Pajari
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Maria Pajari. A scholar is included among the top collaborators of Anne‐Maria Pajari 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 Anne‐Maria Pajari. Anne‐Maria Pajari 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.