Pentti Paatero

18.1k citations

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

Health, Toxicology and Mutagenesis top 0.02%
Atmospheric Science top 0.1%
Environmental Engineering top 0.05%
Automotive Engineering top 0.2%
Global and Planetary Change top 1%

Co-authors: Unto Tapper Philip K. Hopke Gary Norris Shelly I. Eberly Steve Brown James F. Sisler William C. Malm Chak K. Chan
Topics: Atmospheric chemistry and aerosols (27 papers)Air Quality and Health Impacts (26 papers)Air Quality Monitoring and Forecasting (14 papers)
Cited by: Computational Mathematics Health, Toxicology and Mutagenesis Atmospheric Science
Journals: Journal of Geophysical Research Atmospheres Environmental Science & Technology The Science of The Total Environment
Partner nations: Finland United States Spain

In The Last Decade

Pentti Paatero

73 papers receiving 12.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values

1994 4.3k citations Pentti Paatero, Unto Tapper Environmetrics profile →
Least squares formulation of robust non-negative factor analysis

1997 1.6k citations Pentti Paatero profile →
Atmospheric aerosol over Alaska: 2. Elemental composition and sources

1998 763 citations Philip K. Hopke, Pentti Paatero et al. profile →
The Multilinear Engine—A Table-Driven, Least Squares Program for Solving Multilinear Problems, Including then-Way Parallel Factor Analysis Model

1999 563 citations Pentti Paatero profile →
Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results

2015 525 citations Steve Brown, Shelly I. Eberly et al. The Science of The Total Environment profile →
Discarding or downweighting high-noise variables in factor analytic models

2003 515 citations Pentti Paatero, Philip K. Hopke Analytica Chimica Acta profile →
Methods for estimating uncertainty in factor analytic solutions

2014 414 citations Pentti Paatero, Shelly I. Eberly et al. Atmospheric measurement techniques profile →

Peers

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 of co-authors of Pentti Paatero

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Insights into atmospheric oxidation processes by performing factor analyses on subranges of mass spectra 2020 ·Atmospheric chemistry and physics ·Yanjun Zhang,Otso Peräkylä,Chao Yan,Liine Heikkinen,Mikko Äijälä,Kaspar R. Daellenbach,Qiaozhi Zha,Matthieu Riva,Olga Garmаsh,Heikki Junninen,Pentti Paatero,D. R. Worsnop,Mikael Ehn	11
2	A novel approach for simple statistical analysis of high-resolution mass spectra 2019 ·Atmospheric measurement techniques ·Yanjun Zhang,Otso Peräkylä,Chao Yan,Liine Heikkinen,Mikko Äijälä,Kaspar R. Daellenbach,Qiaozhi Zha,Matthieu Riva,Olga Garmаsh,Heikki Junninen,Pentti Paatero,Douglas R. Worsnop,Mikael Ehn	20
3	Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF resultsbreakdown → 2015 ·The Science of The Total Environment ·Steve Brown,Shelly I. Eberly,Pentti Paatero,Gary Norris	525
4	Methods for estimating uncertainty in factor analytic solutionsbreakdown → 2014 ·Atmospheric measurement techniques ·Pentti Paatero,Shelly I. Eberly,Steve Brown,Gary Norris	414
5	Receptor modeling of near-roadway aerosol mass spectrometer data in Las Vegas, Nevada, with EPA PMF 2012 ·Atmospheric chemistry and physics ·Steve Brown,Taesam Lee,Gary Norris,Paul Roberts,Jeffrey L. Collett,Pentti Paatero,Douglas R. Worsnop	33
6	Rotational tools for factor analytic models 2008 ·Journal of Chemometrics ·Pentti Paatero,Philip K. Hopke	142
7	Source apportionment and analysis on ambient and personal exposure samples with a combined receptor model and an adaptive blank estimation strategy 2006 ·Atmospheric Environment ·Weixiang Zhao,Philip K. Hopke,Gary Norris,Ron Williams,Pentti Paatero	63
8	A Case-Crossover Analysis of Out-of-Hospital Coronary Deaths and Air Pollution in Rome, Italy 2005 ·American Journal of Respiratory and Critical Care Medicine ·Francesco Forastiere,Massimo Stafoggia,Sally Picciotto,Tom Bellander,Daniela D’Ippoliti,Timo Lanki,Stephanie von Klot,Fredrik Nyberg,Pentti Paatero,Annette Peters,Juha Pekkanen,Jordi Sunyer,Carlo A. Perucci	148
9	PM source apportionment and health effects. 3. Investigation of inter-method variations in associations between estimated source contributions of PM2.5 and daily mortality in Phoenix, AZ 2005 ·Journal of Exposure Science & Environmental Epidemiology ·Therese F. Mar,Kazuhiko Ito,Jane Q. Koenig,Timothy V. Larson,Delbert J. Eatough,Ronald C. Henry,Eugene Kim,Francine Laden,Ramona Lall,Lucas Neas,Matthias Stölzel,Pentti Paatero,Philip K. Hopke,George D. Thurston	120
10	PM source apportionment and health effects: 1. Intercomparison of source apportionment results 2005 ·Journal of Exposure Science & Environmental Epidemiology ·Philip K. Hopke,Kazuhiko Ito,Therese F. Mar,William F. Christensen,Delbert J. Eatough,Ronald C. Henry,Eugene Kim,Francine Laden,Ramona Lall,Timothy V. Larson,Hao Liu,Lucas Neas,Joseph P. Pinto,Matthias Stölzel,Helen Suh,Pentti Paatero,George D. Thurston	218
11	Morphology and kinematics of Lynds 1642 2003 ·Astronomy and Astrophysics ·D. Russeil,M. Juvela,K. Lehtinen,K. Mattila,Pentti Paatero	9
12	Discarding or downweighting high-noise variables in factor analytic modelsbreakdown → 2003 ·Analytica Chimica Acta ·Pentti Paatero,Philip K. Hopke	515
13	Incorporation of parametric factors into multilinear receptor model studies of Atlanta aerosol 2003 ·Atmospheric Environment ·Eugene Kim,Philip K. Hopke,Pentti Paatero,Eric S. Edgerton	50
14	Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong 1999 ·Atmospheric Environment ·(unknown),Chak K. Chan,Pentti Paatero	408
15	<title>Mixed multiway analysis of airborne particle composition data</title> 1999 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Philip K. Hopke,YuLong Xie,Pentti Paatero	8
16	The use of positive matrix factorization in the analysis of molecular line spectra. 1996 ·Monthly Notices of the Royal Astronomical Society ·M. Juvela,K. Lehtinen,Pentti Paatero	15
17	Factor analysis of aerosol size distributions 1995 ·Journal of Aerosol Science ·Pentti Paatero,Jyrki M. Mäkelä,Vilho Jokinen	0
18	Extreme-value estimation applied to aerosol size distributions and related environmental problems 1994 ·Journal of Research of the National Institute of Standards and Technology ·Philip K. Hopke,Pentti Paatero	7
19	Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data valuesbreakdown → 1994 ·Environmetrics ·Pentti Paatero,Unto Tapper	4288
20	Analysis of CO₂Thermograms by the New Extreme-Value Estimation (EVE) Deconvolution Principle 1989 ·Aerosol Science and Technology ·Pentti Paatero,T. Raunemaa	2

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) and Air Quality Monitoring and Forecasting (14 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. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

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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