Pentti Paatero
- Computational Mathematics top 0.2%
- Health, Toxicology and Mutagenesis top 0.02%
- Air Quality and Health Impacts 26
- Atmospheric Science top 0.1%
- Atmospheric chemistry and aerosols 27
- Atmospheric Ozone and Climate 9
- Environmental Engineering top 0.05%
- Air Quality Monitoring and Forecasting 14
- Automotive Engineering top 0.2%
- Vehicle emissions and performance 9
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- Atmospheric and Environmental Gas Dynamics 7
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- Spectroscopy and Chemometric Analyses 7
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- Statistical and numerical algorithms 5
- Co-authors
- Unto TapperPhilip K. HopkeGary NorrisShelly I. EberlySteve BrownJames F. SislerWilliam C. MalmChak K. Chan
- Partner nations
- FinlandUnited StatesSpain
In The Last Decade
Pentti Paatero
73 papers receiving 12.7k citations
Hit Papers
Peers
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
Countries citing papers authored by Pentti Paatero
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 11 | |
| 2 | 2019 | 20 | |
| 3 | Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF resultsbreakdown → | 2015 | 525 |
| 4 | Methods for estimating uncertainty in factor analytic solutionsbreakdown → | 2014 | 414 |
| 5 | 2012 | 33 | |
| 6 | 2008 | 142 | |
| 7 | 2006 | 63 | |
| 8 | 2005 | 148 | |
| 9 | 2005 | 120 | |
| 10 | 2005 | 218 | |
| 11 | 2003 | 9 | |
| 12 | Discarding or downweighting high-noise variables in factor analytic modelsbreakdown → | 2003 | 515 |
| 13 | 2003 | 50 | |
| 14 | 1999 | 408 | |
| 15 | 1999 | 8 | |
| 16 | 1996 | 15 | |
| 17 | 1995 | 0 | |
| 18 | 1994 | 7 | |
| 19 | Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data valuesbreakdown → | 1994 | 4288 |
| 20 | 1989 | 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), 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.