Pentti Paatero

18.1k citations
74 papers · 13.2k indexed · 7 hit papers · h-index 36

Pentti Paatero

73 papers receiving 12.7k citations

Hit Papers

Methods for estimating uncer...525199420262004201510002.0k3.0k4.0k

Peers

Pentti Paatero
Comparison fields: 5 of 175
  • Computational Mathematics 380
  • Health, Toxicology and Mutagenesis 8.8k
  • Atmospheric Science 7.9k
  • Environmental Engineering 4.0k
  • Automotive Engineering 2.3k
Replace Unto Tapper with:
Unto Tapper Finland
Xiaodong Li China
Roland R. Draxler United States
Ronald C. Henry United States
Wolfgang Koch Germany
Qiangqiang Yuan China
Shih Yu Chang Taiwan
Xiao Xiang Zhu Germany
Peter Filzmoser Austria
Tianfeng Chai United States
Pentti Paatero relative to Unto Tapper Finland Unto Tapper's profile →
Citations per field
00.5×
Unto Tapper · 1×
Citations per year

Countries citing papers authored by Pentti Paatero

Since Specialization
Citations

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

Fields of papers citing papers by Pentti Paatero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pentti Paatero, 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 Pentti Paatero Line = papers co-authored together Pentti Paatero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202011
2 201920
3
Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF resultsbreakdown →
2015525
4
Methods for estimating uncertainty in factor analytic solutionsbreakdown →
2014414
5 201233
6 2008142
7 200663
8 2005148
9 2005120
10 2005218
11 20039
12
Discarding or downweighting high-noise variables in factor analytic modelsbreakdown →
2003515
13 200350
14 1999408
15 19998
16 199615
17 19950
18 19947
19
Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data valuesbreakdown →
19944288
20 19892

About Pentti Paatero

Pentti Paatero is a scholar working on Computational Mathematics, Health, Toxicology and Mutagenesis and Atmospheric Science, having authored 74 papers that have together received 13.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (27 papers), Air Quality and Health Impacts (26 papers), Air Quality Monitoring and Forecasting (14 papers), Atmospheric Ozone and Climate (9 papers), Vehicle emissions and performance (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Spectroscopy and Chemometric Analyses (7 papers) and Statistical and numerical algorithms (5 papers). The work is most often cited by research in Computational Mathematics (380 citations), Health, Toxicology and Mutagenesis (8.8k citations) and Atmospheric Science (7.9k citations). Pentti Paatero has collaborated with scholars based in Finland, United States and Spain. Frequent co-authors include Unto Tapper, Philip K. Hopke, Gary Norris, Shelly I. Eberly, Steve Brown, James F. Sisler, William C. Malm, Chak K. Chan, Ziad Ramadan and Xin‐Hua Song.

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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