Suvi Heinonen

109 total papers · 898 total citations
44 papers, 655 citations indexed

About

Suvi Heinonen is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Suvi Heinonen has authored 44 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Geophysics, 18 papers in Ocean Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Suvi Heinonen's work include Seismic Imaging and Inversion Techniques (28 papers), Seismic Waves and Analysis (28 papers) and Geophysical Methods and Applications (11 papers). Suvi Heinonen is often cited by papers focused on Seismic Imaging and Inversion Techniques (28 papers), Seismic Waves and Analysis (28 papers) and Geophysical Methods and Applications (11 papers). Suvi Heinonen collaborates with scholars based in Finland, Sweden and Poland. Suvi Heinonen's co-authors include Seppo Ylä‐Herttuala, Ilmo Kukkonen, Pekka Heikkinen, Emilia Koivisto, Anna–Liisa Levonen, Emilia Kansanen, Matias Inkala, Masayuki Yamamoto, Alireza Malehmir and Henna-Kaisa Jyrkkänen and has published in prestigious journals such as Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology and Geophysics.

In The Last Decade

Suvi Heinonen

37 papers receiving 637 citations

Author Peers

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

Author						Papers	Cites
Suvi Heinonen	305	235	123	71	66	44	655
Weiguo Zhang	175 0.6×	46 0.2×	114 0.9×	21 0.3×	76 1.2×	19	670
Desmond FitzGerald	110 0.4×	296 1.3×	108 0.9×	29 0.4×	9 0.1×	41	699
Antonio Cimino	102 0.3×	61 0.3×	50 0.4×	26 0.4×	25 0.4×	41	705
Jianbin Wu	285 0.9×	83 0.4×	4 0.0×	57 0.8×	44 0.7×	56	756
Y. Zhang	241 0.8×	137 0.6×	26 0.2×	36 0.5×	146 2.2×	25	762
Haibin Liang	394 1.3×	75 0.3×	5 0.0×	32 0.5×	191 2.9×	28	689
Yu Zhou	398 1.3×	24 0.1×	8 0.1×	98 1.4×	238 3.6×	37	747
Roberta L. Grant	152 0.5×	35 0.1×	5 0.0×	20 0.3×	64 1.0×	34	663
Fujiang Wang	199 0.7×	23 0.1×	11 0.1×	29 0.4×	20 0.3×	40	689
Litao Xu	261 0.9×	33 0.1×	26 0.2×	53 0.7×	200 3.0×	39	789

Countries citing papers authored by Suvi Heinonen

Since Specialization

Citations

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

Fields of papers citing papers by Suvi Heinonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvi Heinonen

This figure shows the co-authorship network connecting the top 25 collaborators of Suvi Heinonen. A scholar is included among the top collaborators of Suvi Heinonen 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 Suvi Heinonen. Suvi Heinonen 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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