Kaisa Vaaramaa

36 total papers · 746 total citations
23 papers, 621 citations indexed

About

Kaisa Vaaramaa is a scholar working on Global and Planetary Change, Radiological and Ultrasound Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kaisa Vaaramaa has authored 23 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 12 papers in Radiological and Ultrasound Technology and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kaisa Vaaramaa's work include Radioactive contamination and transfer (13 papers), Radioactivity and Radon Measurements (12 papers) and Radioactive element chemistry and processing (7 papers). Kaisa Vaaramaa is often cited by papers focused on Radioactive contamination and transfer (13 papers), Radioactivity and Radon Measurements (12 papers) and Radioactive element chemistry and processing (7 papers). Kaisa Vaaramaa collaborates with scholars based in Finland, Russia and Denmark. Kaisa Vaaramaa's co-authors include Jukka Lehto, D Solatie, Lasse Aro, J. Lehto, Timo Jaakkola, Heikki Tenhu, Heikki Leinonen, Teresia Möller, Risto Harjula and M. Hakanen and has published in prestigious journals such as The Science of The Total Environment, Journal of Materials Chemistry and Desalination.

In The Last Decade

Kaisa Vaaramaa

20 papers receiving 577 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kaisa Vaaramaa	183	181	179	162	136	23	621
Sabyasachi Rout	289 1.6×	142 0.8×	81 0.5×	239 1.5×	90 0.7×	42	607
Vandana Pulhani	288 1.6×	172 1.0×	64 0.4×	239 1.5×	163 1.2×	52	759
Mahmoud A. A. Aslani	183 1.0×	126 0.7×	98 0.5×	225 1.4×	165 1.2×	39	592
Dexin Ding	153 0.8×	107 0.6×	51 0.3×	357 2.2×	95 0.7×	46	645
J.I Kim	77 0.4×	131 0.7×	122 0.7×	300 1.9×	83 0.6×	10	723
S. Akyıl	150 0.8×	111 0.6×	148 0.8×	522 3.2×	352 2.6×	21	787
Mirella Del Nero	50 0.3×	101 0.6×	87 0.5×	288 1.8×	106 0.8×	25	649
Zhaoyi Tan	110 0.6×	105 0.6×	66 0.4×	381 2.4×	176 1.3×	39	658
Abhas Singh	72 0.4×	81 0.4×	200 1.1×	349 2.2×	69 0.5×	29	742
S. C. Smith	63 0.3×	111 0.6×	86 0.5×	184 1.1×	93 0.7×	13	559

Countries citing papers authored by Kaisa Vaaramaa

Since Specialization

Citations

This map shows the geographic impact of Kaisa Vaaramaa'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 Kaisa Vaaramaa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaisa Vaaramaa more than expected).

Fields of papers citing papers by Kaisa Vaaramaa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaisa Vaaramaa. 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 Kaisa Vaaramaa. The network helps show where Kaisa Vaaramaa may publish in the future.

Co-authorship network of co-authors of Kaisa Vaaramaa

This figure shows the co-authorship network connecting the top 25 collaborators of Kaisa Vaaramaa. A scholar is included among the top collaborators of Kaisa Vaaramaa 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 Kaisa Vaaramaa. Kaisa Vaaramaa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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