Marja Salmimaa

41 total papers · 540 total citations
38 papers, 410 citations indexed

About

Marja Salmimaa is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Marja Salmimaa has authored 38 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Human-Computer Interaction, 19 papers in Cognitive Neuroscience and 17 papers in Media Technology. Recurrent topics in Marja Salmimaa's work include Virtual Reality Applications and Impacts (21 papers), Advanced Optical Imaging Technologies (17 papers) and Visual perception and processing mechanisms (16 papers). Marja Salmimaa is often cited by papers focused on Virtual Reality Applications and Impacts (21 papers), Advanced Optical Imaging Technologies (17 papers) and Visual perception and processing mechanisms (16 papers). Marja Salmimaa collaborates with scholars based in Finland, Denmark and United States. Marja Salmimaa's co-authors include Toni Järvenpää, Jukka Häkkinen, Monika Pölönen, Jari Takatalo, Tero Jokela, Roope Raisamo, Jari Kangas, Andrés Lucero, Jussi Holopainen and Jonna Häkkilä and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the ACM on Human-Computer Interaction and Displays.

In The Last Decade

Marja Salmimaa

37 papers receiving 359 citations

Author Peers

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

Author						Papers	Cites
Marja Salmimaa	246	239	173	132	30	38	410
George Alex Koulieris	242 1.0×	143 0.6×	115 0.7×	183 1.4×	24 0.8×	30	459
Yuji Nojiri	230 0.9×	306 1.3×	176 1.0×	187 1.4×	51 1.7×	33	439
Rachel Albert	223 0.9×	213 0.9×	106 0.6×	207 1.6×	41 1.4×	13	413
Adrian Travis	143 0.6×	333 1.4×	69 0.4×	122 0.9×	136 4.5×	58	470
Steven A. Cholewiak	83 0.3×	73 0.3×	283 1.6×	76 0.6×	35 1.2×	28	425
Kees Teunissen	55 0.2×	147 0.6×	163 0.9×	182 1.4×	167 5.6×	48	427
Barry G. Blundell	131 0.5×	173 0.7×	40 0.2×	95 0.7×	31 1.0×	29	387
Keisuke Hasegawa	171 0.7×	63 0.3×	227 1.3×	45 0.3×	24 0.8×	51	468
Behzad Sajadi	175 0.7×	129 0.5×	64 0.4×	314 2.4×	55 1.8×	25	418
Harold Thwaites	240 1.0×	220 0.9×	153 0.9×	156 1.2×	11 0.4×	36	458

Countries citing papers authored by Marja Salmimaa

Since Specialization

Citations

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

Fields of papers citing papers by Marja Salmimaa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marja Salmimaa

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