Hannu Oja

7.6k total citations
170 papers, 4.6k citations indexed

About

Hannu Oja is a scholar working on Statistics and Probability, Signal Processing and Analytical Chemistry. According to data from OpenAlex, Hannu Oja has authored 170 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Statistics and Probability, 33 papers in Signal Processing and 27 papers in Analytical Chemistry. Recurrent topics in Hannu Oja's work include Advanced Statistical Methods and Models (74 papers), Statistical Methods and Bayesian Inference (36 papers) and Blind Source Separation Techniques (30 papers). Hannu Oja is often cited by papers focused on Advanced Statistical Methods and Models (74 papers), Statistical Methods and Bayesian Inference (36 papers) and Blind Source Separation Techniques (30 papers). Hannu Oja collaborates with scholars based in Finland, United States and United Kingdom. Hannu Oja's co-authors include Klaus Nordhausen, Jyrki Möttönen, Sara Taskinen, Thomas P. Hettmansperger, Visa Koivunen, Paula Rantakallio, S. Visuri, Esa Ollila, Ronald H. Randles and Markku Koiranen and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Hannu Oja

162 papers receiving 4.3k citations

Peers

Hannu Oja
Comparison fields: 5 of 186
  • Statistics and Probability 1.8k
  • Signal Processing 566
  • Artificial Intelligence 503
  • Statistics, Probability and Uncertainty 477
  • Analytical Chemistry 404
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Ciprian M. Crainiceanu United States
Subir Ghosh United States
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Helge Toutenburg Germany
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J. Dik F. Habbema Netherlands
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Ciprian M. Crainiceanu United States View profile →
Citations per field, relative to Hannu Oja
Hannu Oja · 1×
Citations per year, relative to Hannu Oja
Hannu Oja · 1×

Countries citing papers authored by Hannu Oja

Since Specialization
Citations

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

Fields of papers citing papers by Hannu Oja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannu Oja

This figure shows the co-authorship network connecting the top 25 collaborators of Hannu Oja. A scholar is included among the top collaborators of Hannu Oja 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 Hannu Oja. Hannu Oja 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
# Work Indexed citations
1 3
2 1
3 9
4 24
5 17
6 7
7
Dynamic logistic regression model and population attributable fraction to investigate the association between adherence, missed visits and mortality
13
8 20
9 3
10 29
11 27
12
Multivariate Theil estimator with the corresponding test
1
13
Weighted Spatial Median for Clustered Data
2
14
INFLUENCE FUNCTION AND ASYMPTOTIC EFFICIENCY OF THE AFFINE EQUIVARIANT RANK COVARIANCE MATRIX
9
15 3
16 138
17 40
18 8
19 3
20 24

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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