Maj‐Britt Niemi
About
In The Last Decade
Maj‐Britt Niemi
12 papers receiving 484 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maj‐Britt Niemi Switzerland | 11 | 218 | 151 | 108 | 100 | 85 | 13 | 495 | ||
| V. Bhagya India | 9 | 120 0.6× | 82 0.5× | 214 2.0× | 149 1.5× | 105 1.2× | 14 | 550 | ||
| Grasielle C. Kincheski Brazil | 11 | 160 0.7× | 89 0.6× | 89 0.8× | 141 1.4× | 71 0.8× | 14 | 456 | ||
| Bingcong Zhao China | 15 | 148 0.7× | 90 0.6× | 133 1.2× | 36 0.4× | 132 1.6× | 28 | 531 | ||
| Usha Panjwani India | 14 | 173 0.8× | 118 0.8× | 35 0.3× | 69 0.7× | 47 0.6× | 28 | 508 | ||
| Juliana Presti-Torres Brazil | 10 | 186 0.9× | 48 0.3× | 78 0.7× | 222 2.2× | 32 0.4× | 12 | 465 | ||
| Wei-Zhu Liu China | 9 | 147 0.7× | 144 1.0× | 252 2.3× | 147 1.5× | 209 2.5× | 17 | 664 | ||
| Jayagopalan Veena India | 7 | 74 0.3× | 56 0.4× | 181 1.7× | 120 1.2× | 73 0.9× | 7 | 453 | ||
| Carl Sikkema United States | 15 | 92 0.4× | 69 0.5× | 87 0.8× | 163 1.6× | 53 0.6× | 18 | 495 | ||
| Devsmita Das United States | 10 | 86 0.4× | 69 0.5× | 49 0.5× | 153 1.5× | 90 1.1× | 18 | 613 | ||
| Masoumeh Nozari Iran | 13 | 157 0.7× | 31 0.2× | 83 0.8× | 140 1.4× | 55 0.6× | 34 | 437 |
Countries citing papers authored by Maj‐Britt Niemi
This map shows the geographic impact of Maj‐Britt Niemi'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 Maj‐Britt Niemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maj‐Britt Niemi more than expected).
Fields of papers citing papers by Maj‐Britt Niemi
This network shows the impact of papers produced by Maj‐Britt Niemi. 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 Maj‐Britt Niemi. The network helps show where Maj‐Britt Niemi may publish in the future.
Co-authorship network of co-authors of Maj‐Britt Niemi
This figure shows the co-authorship network connecting the top 25 collaborators of Maj‐Britt Niemi. A scholar is included among the top collaborators of Maj‐Britt Niemi 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 Maj‐Britt Niemi. Maj‐Britt Niemi 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.