Maria Olkkonen

2.1k citations
40 papers · 1.4k indexed · h-index 14
Topics
Color perception and design (27 papers)Visual perception and processing mechanisms (25 papers)Color Science and Applications (25 papers)

In The Last Decade

Maria Olkkonen

37 papers receiving 1.3k citations

Peers

Maria Olkkonen
Comparison fields: 5 of 106
  • Cognitive Neuroscience 954
  • Social Psychology 580
  • Experimental and Cognitive Psychology 419
  • Atomic and Molecular Physics, and Optics 341
  • Computer Vision and Pattern Recognition 158
Replace Takahiro Kawabe with:
Takahiro Kawabe Japan
Matteo Valsecchi Germany
James A. Schirillo United States
Thorsten Hansen Germany
Bart Farell United States
Vebjørn Ekroll Germany
Sergei Gepshtein United States
Preeti Verghese United States
Satoshi Shioiri Japan
Baingio Pinna Italy
Maria Olkkonen relative to Takahiro Kawabe Japan Takahiro Kawabe's profile →
Citations per field
00.5×3.7×
Takahiro Kawabe · 1×
Citations per year

Countries citing papers authored by Maria Olkkonen

Since Specialization
Citations

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

Fields of papers citing papers by Maria Olkkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Olkkonen

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 2
5 18
6 8
7 1
8 12
9 4
10 9
11 190
12 47
13 59
14 11
15 76
16 89
17 49
18 160
19 334
20 2

About Maria Olkkonen

Maria Olkkonen is a scholar working on Social Psychology, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Color perception and design (27 papers), Visual perception and processing mechanisms (25 papers) and Color Science and Applications (25 papers). The work is most often cited by research in Cognitive Neuroscience (954 citations), Experimental and Cognitive Psychology (419 citations) and Social Psychology (580 citations). Maria Olkkonen has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Karl R. Gegenfurtner, Thorsten Hansen, Sarah Allred, Sebastian Walter, David H. Brainard, Jonathan Flombaum, Gi‐Yeul Bae, Christoph Witzel, Jukka Häkkinen and Colin Wilson. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

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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