Oona Rainio

1.2k citations
40 papers · 548 · 1 hit paper · h-index 8

Impact in

Papers in

Oona Rainio

30 papers receiving 534 citations

Oona Rainio's Hit Papers

Evaluation metrics and statistical tests for machine learning 2024 · 395 citations
3950+1Years since publication100200300

Peers

Oona Rainio
Comparison fields: 5 of 151
  • Health Informatics 15
  • Geometry and Topology 40
  • Radiology, Nuclear Medicine and Imaging 86
  • Applied Mathematics 36
  • Artificial Intelligence 110
Replace Adam Mahdi with:
Adam Mahdi United Kingdom
Riku Klén Finland
Linglong Kong Canada
Richard B. Sowers United States
Juan Ruiz‐Alzola Spain
Ana‐Maria Staicu United States
Solveig Badillo France
Sayan Chakraborty India
Samaneh Kouchaki United Kingdom
Oona Rainio relative to Adam Mahdi United Kingdom Adam Mahdi's profile →
Citations per field
00.5×4.5×
Adam Mahdi · 1×
Citations per year

Countries citing papers authored by Oona Rainio

Since Specialization
Citations

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

Fields of papers citing papers by Oona Rainio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Oona Rainio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oona Rainio Line = papers co-authored together Oona Rainio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation metrics and statistical tests for machine learning
Hit paper breakdown →
2024395
2 202326
3 202314
4 202413
5 202310
6 20219
7 20218
8 20227
9 20227
10 20247
11 20236
12 20226
13 20245
14 20225
15 20225
16 20254
17 20243
18 20243
19 20212
20 20232

About Oona Rainio

Oona Rainio is a scholar working on Radiology, Nuclear Medicine and Imaging, Geometry and Topology, Applied Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 548 indexed citations. Recurring topics across this work include Analytic and geometric function theory (12 papers), Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Algebraic and Geometric Analysis (5 papers), Advanced MRI Techniques and Applications (5 papers), Holomorphic and Operator Theory (5 papers), Brain Tumor Detection and Classification (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (15 citations), Geometry and Topology (40 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Applied Mathematics (36 citations) and Artificial Intelligence (110 citations). Oona Rainio has collaborated with scholars based in Finland, Qatar and United States. Frequent co-authors include Riku Klén, Jarmo Teuho, Матти Вуоринен, Thorsten Rudroff, Mohamed M. S. Nasser, Juhani Knuuti, Simona Malaspina, Jukka Kemppainen, Chunlei Han and Sergey V. Nesterov. Their work appears in journals such as Scientific Reports, Annals of Nuclear Medicine, European Radiology Experimental, Journal of Geometric Analysis and Neurological Sciences.

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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