Tuija Lahdes‐Vasama
About
In The Last Decade
Tuija Lahdes‐Vasama
16 papers receiving 354 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tuija Lahdes‐Vasama Finland | 11 | 252 | 128 | 61 | 57 | 55 | 16 | 370 | ||
| Christopher C. Roth United States | 13 | 278 1.1× | 197 1.5× | 116 1.9× | 69 1.2× | 124 2.3× | 28 | 420 | ||
| G. Levard France | 13 | 288 1.1× | 91 0.7× | 39 0.6× | 30 0.5× | 24 0.4× | 56 | 469 | ||
| M. Roy France | 2 | 162 0.6× | 289 2.3× | 59 1.0× | 18 0.3× | 15 0.3× | 3 | 408 | ||
| Weijun Fu China | 12 | 203 0.8× | 184 1.4× | 27 0.4× | 47 0.8× | 96 1.7× | 42 | 384 | ||
| Ali Tourchi Iran | 13 | 282 1.1× | 359 2.8× | 203 3.3× | 115 2.0× | 38 0.7× | 54 | 534 | ||
| Richard Inman United Kingdom | 11 | 265 1.1× | 297 2.3× | 12 0.2× | 169 3.0× | 59 1.1× | 28 | 403 | ||
| Diego Barrieras Canada | 15 | 360 1.4× | 373 2.9× | 211 3.5× | 69 1.2× | 170 3.1× | 26 | 601 | ||
| Kevin Clarke United States | 10 | 387 1.5× | 32 0.3× | 13 0.2× | 61 1.1× | 79 1.4× | 21 | 498 | ||
| Christopher Hillary United Kingdom | 13 | 277 1.1× | 224 1.8× | 10 0.2× | 218 3.8× | 38 0.7× | 25 | 428 | ||
| G. H. Willital Germany | 11 | 220 0.9× | 32 0.3× | 7 0.1× | 42 0.7× | 33 0.6× | 40 | 331 |
Countries citing papers authored by Tuija Lahdes‐Vasama
This map shows the geographic impact of Tuija Lahdes‐Vasama'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 Tuija Lahdes‐Vasama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuija Lahdes‐Vasama more than expected).
Fields of papers citing papers by Tuija Lahdes‐Vasama
This network shows the impact of papers produced by Tuija Lahdes‐Vasama. 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 Tuija Lahdes‐Vasama. The network helps show where Tuija Lahdes‐Vasama may publish in the future.
Co-authorship network of co-authors of Tuija Lahdes‐Vasama
This figure shows the co-authorship network connecting the top 25 collaborators of Tuija Lahdes‐Vasama. A scholar is included among the top collaborators of Tuija Lahdes‐Vasama 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 Tuija Lahdes‐Vasama. Tuija Lahdes‐Vasama 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.