Marja Liinasuo

113 total papers · 774 total citations
47 papers, 474 citations indexed

About

Marja Liinasuo is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Human-Computer Interaction. According to data from OpenAlex, Marja Liinasuo has authored 47 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiological and Ultrasound Technology, 12 papers in Statistics, Probability and Uncertainty and 11 papers in Human-Computer Interaction. Recurrent topics in Marja Liinasuo's work include Occupational Health and Safety Research (12 papers), Risk and Safety Analysis (12 papers) and Visual perception and processing mechanisms (9 papers). Marja Liinasuo is often cited by papers focused on Occupational Health and Safety Research (12 papers), Risk and Safety Analysis (12 papers) and Visual perception and processing mechanisms (9 papers). Marja Liinasuo collaborates with scholars based in Finland, United Kingdom and Norway. Marja Liinasuo's co-authors include Paula Savioja, Ilpo Kojo, Jyrki Rovamo, Timo Kuula, Franziska Schmalfuß, Esko Petäjä, Susanna Aromaa, Eija Kaasinen, Thomas Walter and S Mach and has published in prestigious journals such as Vision Research, Reliability Engineering & System Safety and Neuroscience Letters.

In The Last Decade

Marja Liinasuo

39 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Marja Liinasuo	159	100	74	71	58	47	474
Mirabelle D’Cruz	40 0.3×	98 1.0×	24 0.3×	133 1.9×	40 0.7×	33	405
Unny Menon	59 0.4×	84 0.8×	33 0.4×	15 0.2×	19 0.3×	18	432
Hanna Koskinen	61 0.4×	107 1.1×	22 0.3×	148 2.1×	20 0.3×	48	472
Eric Min‐yang Wang	24 0.2×	194 1.9×	25 0.3×	30 0.4×	84 1.4×	27	434
Yung‐Tsan Jou	55 0.3×	112 1.1×	13 0.2×	8 0.1×	80 1.4×	65	475
Douglas H. Harris	64 0.4×	87 0.9×	26 0.4×	8 0.1×	44 0.8×	27	428
Susanna Aromaa	207 1.3×	130 1.3×	14 0.2×	152 2.1×	20 0.3×	31	507
Adolfo Muñoz	67 0.4×	28 0.3×	22 0.3×	116 1.6×	15 0.3×	27	419
Philipp Brauner	113 0.7×	58 0.6×	34 0.5×	52 0.7×	7 0.1×	45	481
Kjell Ivar Øvergård	24 0.2×	139 1.4×	105 1.4×	131 1.8×	103 1.8×	43	495

Countries citing papers authored by Marja Liinasuo

Since Specialization

Citations

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

Fields of papers citing papers by Marja Liinasuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marja Liinasuo

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