World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
6194
World Ranking
7455
National Ranking
106

Ari Karppinen publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Ari Karppinen sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 165 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Ari Karppinen D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Ari Karppinen sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 42 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Ari Karppinen is affiliated with the Finnish Meteorological Institute in Finland and has a research focus primarily in environmental science, earth and planetary sciences, and engineering. Their work spans multiple interconnected subfields including health, toxicology and mutagenesis, atmospheric science, environmental engineering, automotive engineering, and general health professions.

The scientist's main topics of investigation involve air quality and health impacts, vehicle emissions and performance, atmospheric chemistry and aerosols, air quality monitoring and forecasting, climate change and health impacts, indoor air quality and microbial exposure, and wind and air flow studies.

Recent publications authored or co-authored by Ari Karppinen include:

  • The influence of residential wood combustion on the concentrations of PM 2.5 in four Nordic cities, 2020, Atmospheric chemistry and physics
  • Modeling of the Concentrations of Ultrafine Particles in the Plumes of Ships in the Vicinity of Major Harbors, 2020, International Journal of Environmental Research and Public Health
  • An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation, 2022, Environmental Modelling & Software
  • Opinion: Insights into updating Ambient Air Quality Directive 2008/50/EC, 2022, Atmospheric chemistry and physics
  • Added Value of Vaisala AQT530 Sensors as a Part of a Sensor Network for Comprehensive Air Quality Monitoring, 2021, Frontiers in Environmental Science

Ari Karppinen frequently publishes in venues such as Atmospheric chemistry and physics, International Journal of Environmental Research and Public Health, Atmospheric Environment, Environmental Modelling & Software, and IEEE Geoscience and Remote Sensing Letters.

Collaborations are a recurring aspect of their research work. Frequently co-authored researchers include Jaakko Kukkonen, Jarkko V. Niemi, Joel Kuula, Leena Kangas, and Mari Kauhaniemi.

Best Publications

  • Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki

    Jaakko Kukkonen;Leena Partanen;Ari Karppinen;Juhani Ruuskanen

  • Retrieval of mixing height and dust concentration with lidar ceilometer

    Christoph Münkel;Noora Eresmaa;Janne Räsänen;Ari Karppinen

  • Evolving the neural network model for forecasting air pollution time series

    Harri Niska;Teri Hiltunen;Ari Karppinen;Juhani Ruuskanen

  • Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki

    Dimitris Voukantsis;Kostas Karatzas;Jaakko Kukkonen;Teemu Räsänen

  • Mixing height determination by ceilometer

    N. Eresmaa;A. Karppinen;S. M. Joffre;J. Räsänen

  • Chemical composition of aerosols during a major biomass burning episode over northern Europe in spring 2006: Experimental and modelling assessments

    Sanna Saarikoski;Markus Sillanpää;Mikhail Sofiev;Hilkka Timonen

  • Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki

    A. Vlachogianni;P. Kassomenos;Ari Karppinen;S. Karakitsios

  • Meteorological dependence of size-fractionated number concentrations of urban aerosol particles

    Tareq Hussein;Tareq Hussein;Ari Karppinen;Ari Karppinen;Jaakko Kukkonen;Jaakko Kukkonen;Jari Härkönen;Jari Härkönen

  • Integrated systems for forecasting urban meteorology, air pollution and population exposure

    A. Baklanov;O. Hänninen;L. H. Slørdal;J. Kukkonen

  • A model for evaluating the population exposure to ambient air pollution in an urban area

    Anu Kousa;Jaakko Kukkonen;Ari Karppinen;Päivi Aarnio

  • A modelling system for predicting urban air pollution: model description and applications in the Helsinki metropolitan area

    A. Karppinen;J. Kukkonen;T. Elolähde;M. Konttinen

  • A modelling system for predicting urban air pollution:: comparison of model predictions with the data of an urban measurement network in Helsinki

    A. Karppinen;J. Kukkonen;T. Elolähde;M. Konttinen

  • A measurement campaign in a street canyon in Helsinki and comparison of results with predictions of the OSPM model

    Jaakko Kukkonen;Esko Valkonen;Jari Walden;Tarja Koskentalo

  • Measurements and modelling of PM2.5 concentrations near a major road in Kuopio, Finland

    Petri Tiitta;Taisto Raunemaa;Jarkko Tissari;Tarja Yli-Tuomi

  • Evaluation of the CAR-FMI model against measurements near a major road

    Jaakko Kukkonen;Jari Härkönen;Jari Walden;Ari Karppinen

  • Investigating the Surface Energy Balance in Urban Areas – Recent Advances and Future Needs

    M. Piringer;C. S. B. Grimmond;S. M. Joffre;P. Mestayer

  • The surface energy balance and the mixing height in urban areas—activities and recommendations of COST-Action 715

    Martin Piringer;Sylvain Joffre;Alexander Baklanov;Andreas Christen

  • A semi-empirical model for urban PM10 concentrations, and its evaluation against data from an urban measurement network

    Jaakko Kukkonen;Jari Härkönen;Ari Karppinen;Mia Pohjola

  • The Spatial and Temporal Variation of Measured Urban PM10 and PM2.5 in the Helsinki Metropolitan Area

    M. A. Pohjola;A. Kousa;J. Kukkonen;J. Härkönen

  • Statistical model for assessing the portion of fine particulate matter transported regionally and long range to urban air.

    Ari Karppinen;Jari Härkönen;Jaakko Kukkonen;Päivi Aarnio

  • Influence of spatial resolution on population PM2.5 exposure and health impacts

    Antti Korhonen;Antti Korhonen;Heli Lehtomäki;Heli Lehtomäki;Isabell Rumrich;Isabell Rumrich;Niko Karvosenoja

  • The influence of residential wood combustion on the concentrations of PM2.5 in four Nordic cities

    Jaakko Kukkonen;Susana López-Aparicio;David Segersson;Camilla Geels

Frequent Co-Authors

Jaakko Kukkonen
Jaakko Kukkonen Finnish Meteorological Institute
Mikhail Sofiev
Mikhail Sofiev Finnish Meteorological Institute
Matthias Ketzel
Matthias Ketzel University of Surrey
Kaarle Kupiainen
Kaarle Kupiainen Finnish Environment Institute
Otto Hänninen
Otto Hänninen Finnish Institute for Health and Welfare
Ioannis Kompatsiaris
Ioannis Kompatsiaris Information Technologies Institute, Greece
Tareq Hussein
Tareq Hussein University of Helsinki
Markku Kulmala
Markku Kulmala University of Helsinki
Liisa Pirjola
Liisa Pirjola Helsinki Metropolia University of Applied Sciences
Ranjeet S. Sokhi
Ranjeet S. Sokhi University of Hertfordshire

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Exploring these connected pathways helps students align their education with evolving environmental challenges and job market demands.

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