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Karine Sartelet

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 40 8198 7880 365 361 128 4370

Karine Sartelet publications per year

The chart shows the history of publications by Karine Sartelet between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Karine Sartelet published across 25 years, from 2002 to 2026, averaging 8.1 papers a year. Output peaked at 30 publications in 2022. 19 of the 202 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 30. Peak 30 publications in 2022. 2002: 3 publications 2003: 3 publications 2004: 0 publications 2005: 0 publications 2006: 2 publications 2007: 3 publications 2008: 7 publications 2009: 2 publications 2010: 4 publications 2011: 8 publications 2012: 5 publications 2013: 13 publications 2014: 5 publications 2015: 7 publications 2016: 9 publications 2017: 4 publications 2018: 10 publications 2019: 6 publications 2020: 8 publications 2021: 11 publications 2022: 30 publications 2023: 20 publications 2024: 23 publications 2025: 18 publications 2026: 1 publication
2002 2026

202 publications in total across all disciplines

View publications per year as a table
Karine Sartelet: publications per year, 2002 to 2026
Year Publications
2002 3
2003 3
2004 0
2005 0
2006 2
2007 3
2008 7
2009 2
2010 4
2011 8
2012 5
2013 13
2014 5
2015 7
2016 9
2017 4
2018 10
2019 6
2020 8
2021 11
2022 30
2023 20
2024 23
2025 18
2026 1
Total 202
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Karine Sartelet 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 Karine Sartelet sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 121–130 publications, is where this scientist sits. 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 128 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617 128
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

Karine Sartelet 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 Karine Sartelet sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 40 D-Index, is where this scientist sits. 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 40 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321 40
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

Overview

Karine Sartelet is affiliated with École des Ponts ParisTech in France. Their research primarily focuses on environmental science and earth and planetary sciences, with particular attention to subfields such as health, toxicology and mutagenesis, atmospheric science, automotive engineering, environmental engineering, and global and planetary change.

Their work covers several main topics including air quality and health impacts, atmospheric chemistry and aerosols, vehicle emissions and performance, wind and air flow studies, air quality monitoring and forecasting, atmospheric aerosols and clouds, and atmospheric ozone and climate.

Frequent publication venues for Sartelet include:

  • Atmospheric chemistry and physics
  • Geoscientific model development
  • Atmospheric Environment
  • Atmosphere
  • The Science of The Total Environment

Recent papers authored or co-authored by Karine Sartelet include:

  • "SSH-Aerosol v1.1: A Modular Box Model to Simulate the Evolution of Primary and Secondary Aerosols," 2020, Atmosphere
  • "Nonstationary modeling of NO 2, NO and NO x in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach," 2020, Atmospheric chemistry and physics
  • "Diesel, petrol or electric vehicles: What choices to improve urban air quality in the Ile-de-France region? A simulation platform and case study," 2020, Atmospheric Environment
  • "Simulation of primary and secondary particles in the streets of Paris using MUNICH," 2020, Faraday Discussions
  • "Black carbon modeling in urban areas: investigating the influence of resuspension and non-exhaust emissions in streets using the Street-in-Grid model for inert particles (SinG-inert)," 2021, Geoscientific model development

Their frequent co-authors include:

  • Youngseob Kim
  • Lya Lugon
  • Florian Couvidat
  • Alice Maison
  • Cédric Flageul

Sartelet's research often addresses the dynamics of air pollutants and particulate matter, particularly within urban environments such as Paris. Models like the Street-in-Grid and MUNICH have been used to study the interactions and evolution of aerosols and vehicle emissions, reflecting their interest in the coupling of local and regional air quality scales.

Their contributions engage with understanding the impacts of different vehicle technologies on urban air quality and the behaviors of primary and secondary aerosols. Their expertise in atmospheric chemistry and aerosols aligns with their focus on environmental and health impacts associated with air pollution.

Best Publications

  • Technical Note: The air quality modeling system Polyphemus

    Vivien Mallet;Vivien Mallet;D. Quélo;B. Sportisse;B. Sportisse;M. Ahmed de Biasi;M. Ahmed de Biasi

  • Operational model evaluation for particulate matter in Europe and North America in the context of AQMEII

    Efisio Solazzo;Roberto Bianconi;Guido Pirovano;Volker Matthias

  • Model evaluation and ensemble modelling of surface-level ozone in Europe and North America in the context of AQMEII

    Efisio Solazzo;Roberto Bianconi;Robert Vautard;K. Wyat Appel

  • Impact of biogenic emissions on air quality over Europe and North America

    Karine N. Sartelet;Florian Couvidat;Christian Seigneur;Yelva Roustan

  • MICS-Asia II: The model intercomparison study for Asia Phase II methodology and overview of findings

    G.R. Carmichael;T. Sakurai;D. Streets;Y. Hozumi

  • Simulation of aerosols and gas-phase species over Europe with the POLYPHEMUS system: Part I-Model-to-data comparison for 2001

    K.N. Sartelet;E. Debry;K. Fahey;Y. Roustan

  • Technical Note: A new SIze REsolved Aerosol Model (SIREAM)

    E. Debry;K. Fahey;K. Sartelet;B. Sportisse

  • A hydrophilic/hydrophobic organic (H2O) aerosol model: Development, evaluation and sensitivity analysis

    Florian Couvidat;Édouard Debry;Karine Sartelet;Christian Seigneur

  • Evaluation of the Weather Research and Forecast/Urban Model Over Greater Paris

    Youngseob Kim;Karine Sartelet;Jean-Christophe Raut;Patrick Chazette

  • SSH-Aerosol v1.1: A Modular Box Model to Simulate the Evolution of Primary and Secondary Aerosols

    Karine Sartelet;Florian Couvidat;Zhizhao Wang;Cédric Flageul

  • Modeling secondary organic aerosol in an urban area: application to Paris, France

    Florian Couvidat;Youngseob Kim;Karine Sartelet;Christian Seigneur

  • MICS-Asia II: Model intercomparison and evaluation of ozone and relevant species

    Z. Han;T. Sakurai;H. Ueda;G. R. Carmichael

  • Emission of intermediate, semi and low volatile organic compounds from traffic and their impact on secondary organic aerosol concentrations over Greater Paris

    K. Sartelet;S. Zhu;S. Zhu;S. Moukhtar;M. André

  • Comparison of different gas-phase mechanisms and aerosol modules for simulating particulate matter formation.

    Youngseob Kim;Florian Couvidat;Karine Sartelet;Christian Seigneur

  • Formation of secondary aerosols over Europe: comparison of two gas-phase chemical mechanisms

    Y. Kim;K. Sartelet;C. Seigneur

  • MICS-Asia II : Model inter-comparison and evaluation of acid deposition

    Zifa Wang;Fuying Xie;T. Sakurai;H. Ueda

  • Simulation of aerosols and gas-phase species over Europe with the Polyphemus system. Part II: Model sensitivity analysis for 2001

    Yelva Roustan;Karine Sartelet;Maryline Tombette;Edouard Debry

  • Comparison of lidar-derived PM 10 with regional modeling and ground-based observations in the frame of MEGAPOLI experiment

    P. Royer;P. Chazette;K. Sartelet;Q. J. Zhang

  • Modeling of photolysis rates over Europe: impact on chemical gaseous species and aerosols

    E. Real;K. Sartelet

  • Modelling aerosol number distributions from a vehicle exhaust with an aerosol CFD model

    B. Albriet;K.N. Sartelet;S. Lacour;B. Carissimo

  • Evaluating the capability of regional-scale air quality models to capture the vertical distribution of pollutants

    E. Solazzo;R. Bianconi;G. Pirovano;M. D. Moran

  • Assimilation of lidar signals: application to aerosol forecasting in the western Mediterranean basin

    Y. Wang;Y. Wang;Y. Wang;K. N. Sartelet;M. Bocquet;M. Bocquet;P. Chazette

  • The Secondary Organic Aerosol Processor (SOAP v1.0) model: a unified model with different ranges of complexity based on the molecular surrogate approach

    F. Couvidat;K. Sartelet

Frequent Co-Authors

Christian Seigneur
Christian Seigneur École des Ponts ParisTech
Agnès Borbon
Agnès Borbon Centre national de la recherche scientifique, CNRS
Matthias Beekmann
Matthias Beekmann Paris-Est Créteil University
Karine Sellegri
Karine Sellegri University of Clermont Auvergne
François Dulac
François Dulac French Alternative Energies and Atomic Energy Commission (CEA)
Yang Zhang
Yang Zhang Northeastern University
Paola Formenti
Paola Formenti Centre national de la recherche scientifique, CNRS
Marc Bocquet
Marc Bocquet École des Ponts ParisTech
Bertrand Bessagnet
Bertrand Bessagnet École Normale Supérieure
Patrick Chazette
Patrick Chazette French Alternative Energies and Atomic Energy Commission (CEA)

External Links

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