World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
5858
World Ranking
6870
National Ranking
2445

Shobha Kondragunta 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 Shobha Kondragunta 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: 158 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Shobha Kondragunta 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 Shobha Kondragunta 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: 44 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

Shobha Kondragunta is affiliated with the National Oceanic and Atmospheric Administration in the United States. Their research focuses primarily on Environmental Science and Earth and Planetary Sciences, with a significant body of work in subfields such as Global and Planetary Change, Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, and Aerospace Engineering.

The scientist's research topics are diverse but primarily centered around atmospheric and environmental dynamics. Key topics include:

  • Atmospheric chemistry and aerosols
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric aerosols and clouds
  • Fire effects on ecosystems
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Atmospheric Ozone and Climate

Shobha Kondragunta has contributed numerous papers to a variety of scientific journals and publications. Recent papers include:

  • Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study, 2023, The Lancet Planetary Health
  • Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record-Breaking Wildfire Season in the United States, 2021, Geophysical Research Letters
  • Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire, 2021, Atmospheric chemistry and physics
  • First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates, 2021, Remote Sensing of Environment
  • Examining the Economic and Environmental Impacts of COVID-19 Using Earth Observation Data, 2020, Remote Sensing

Their most frequent publication venues include:

  • Bulletin of the American Meteorological Society
  • Journal of Geophysical Research Atmospheres
  • Atmospheric chemistry and physics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing of Environment

Collaborations are a significant aspect of Kondragunta's research career. The most frequent co-authors are:

  • Xiaoyang Zhang
  • Fangjun Li
  • Daniel Tong
  • Rick Saylor
  • Jun Wang

Best Publications

  • The Impact of Aerosols on Solar Ultraviolet Radiation and Photochemical Smog

    R. R. Dickerson;S. Kondragunta;S. Kondragunta;G. Stenchikov;G. Stenchikov;K. L. Civerolo;K. L. Civerolo

  • Suomi‐NPP VIIRS aerosol algorithms and data products

    John M. Jackson;Hongqing Liu;Hongqing Liu;Istvan Laszlo;Istvan Laszlo;Shobha Kondragunta

  • Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season

    Glenn D. Rolph;Roland R. Draxler;Ariel F. Stein;Albion Taylor

  • Spatiotemporal Associations between GOES Aerosol Optical Depth Retrievals and Ground-Level PM2.5

    Christopher J. Paciorek;Yang Liu;Hortensia Moreno-Macias;Shobha Kondragunta

  • Preliminary evaluation of S-NPP VIIRS aerosol optical thickness

    Hongqing Liu;Hongqing Liu;Lorraine A. Remer;Jingfeng Huang;Jingfeng Huang;Ho Chun Huang;Ho Chun Huang

  • Near-Real-Time Global Biomass Burning Emissions Product from Geostationary Satellite Constellation

    Xiaoyang Zhang;Xiaoyang Zhang;Shobha Kondragunta;Jessica Ram;Christopher Schmidt

  • Toward aerosol optical depth retrievals over land from GOES visible radiances: determining surface reflectance

    K. R. Knapp;R. Frouin;S. Kondragunta;A. Prados

  • Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia

    Q. Xiao;H. Zhang;M. Choi;S. Li

  • Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations

    Fangjun Li;Xiaoyang Zhang;Shobha Kondragunta;Ivan Csiszar

  • Estimating forest biomass in the USA using generalized allometric models and MODIS land products

    Xiaoyang Zhang;Shobha Kondragunta

  • Near real time monitoring of biomass burning particulate emissions (PM2.5) across contiguous United States using multiple satellite instruments

    Xiaoyang Zhang;Shobha Kondragunta;Christopher Schmidt;Felix Kogan

  • Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data

    Jassim A. Al-Saadi;Amber Jeanine Soja;Robert Bradley Pierce;James J. Szykman

  • Validation and expected error estimation of Suomi-NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET

    Jingfeng Huang;Jingfeng Huang;Shobha Kondragunta;Istvan Laszlo;Istvan Laszlo;Hongqing Liu;Hongqing Liu

  • Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.

    Unknown

  • GOES Aerosol/Smoke Product (GASP) over North America: Comparisons to AERONET and MODIS observations

    Ana I. Prados;Shobha Kondragunta;Pubu Ciren;Kenneth R. Knapp

  • Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region

    Feng Zhang;Feng Zhang;Jun Wang;Charles Ichoku;Edward J. Hyer

  • Comparison of GOES and MODIS Aerosol Optical Depth (AOD) to Aerosol Robotic Network (AERONET) AOD and IMPROVE PM2.5 Mass at Bondville, Illinois

    Mark Green;Shobha Kondragunta;Pubu Ciren;Chuanyu Xu

  • Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA/AVHRR data

    Ruiliang Pu;Ruiliang Pu;Zhanqing Li;Peng Gong;Ivan Csiszar

  • Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States

    Fangjun Li;Xiaoyang Zhang;David P. Roy;Shobha Kondragunta

  • Temporal and spatial variability in biomass burned areas across the USA derived from the GOES fire product

    Xiaoyang Zhang;Shobha Kondragunta

  • NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5)

    Pius Lee;Pius Lee;Jeffery McQueen;Ivanka Stajner;Jianping Huang

  • Stratosphere‐troposphere exchange in a midlatitude mesoscale convective complex: 2. Numerical simulations

    G. Stenchikov;R. Dickerson;K. Pickering;W. Ellis

  • Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm through Intercomparison with VIIRS Aerosol Products and AERONET.

    Stephen D. Superczynski;Shobha Kondragunta;Alexei I. Lyapustin

Frequent Co-Authors

Xiaoyang Zhang
Xiaoyang Zhang South Dakota State University
Istvan Laszlo
Istvan Laszlo National Oceanic and Atmospheric Administration
Daniel Tong
Daniel Tong George Mason University
Ravan Ahmadov
Ravan Ahmadov National Oceanic and Atmospheric Administration
Raymond M. Hoff
Raymond M. Hoff University of Maryland, Baltimore County
Georg A. Grell
Georg A. Grell National Oceanic and Atmospheric Administration
Stuart A. McKeen
Stuart A. McKeen National Oceanic and Atmospheric Administration
Alexei Lyapustin
Alexei Lyapustin Goddard Space Flight Center
Ivan Csiszar
Ivan Csiszar National Oceanic and Atmospheric Administration
Youhua Tang
Youhua Tang George Mason University

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