World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
37
Citations
6379
World Ranking
8838
National Ranking
3171

Akula Venkatram 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 Akula Venkatram 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: 195 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Akula Venkatram 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 Akula Venkatram 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: 37 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Akula Venkatram is a researcher affiliated with the University of California, Riverside in the United States. Their work primarily spans the fields of Environmental Science and Engineering, with specific subfields focused on Environmental Engineering, Global and Planetary Change, Health, Toxicology and Mutagenesis, Automotive Engineering, and Atmospheric Science.

The researcher has authored numerous publications across various scientific venues. Frequent publication outlets include Atmospheric Pollution Research, Journal of the Air & Waste Management Association, SSRN Electronic Journal, Atmospheric Environment, and Air Quality Atmosphere & Health.

Venkatram's research topics demonstrate a strong emphasis on the dynamics of air quality and environmental impacts related to atmospheric chemistry and fluid flow. Main areas of work encompass Wind and Air Flow Studies, Air Quality and Health Impacts, Vehicle Emissions and Performance, Atmospheric and Environmental Gas Dynamics, Atmospheric Chemistry and Aerosols, Odor and Emission Control Technologies, and Aerodynamics and Fluid Dynamics Research.

Some of the recent papers authored or co-authored by Venkatram include:

  • Modeling turbulent transport of aerosols inside rooms using eddy diffusivity, 2021, Indoor Air
  • Dispersion at the edges of near road noise barriers, 2020, Atmospheric Pollution Research

Other notable related papers contributed by frequent collaborators include:

  • Uncertainty in using dispersion models to estimate methane emissions from manure lagoons in dairies, 2020, Agricultural and Forest Meteorology
  • Evaluating AERMOD with measurements from a major U.S. airport located on a shoreline, 2022, Atmospheric Environment
  • Observations and parameterization of the effects of barrier height and source-to-barrier distance on concentrations downwind of a roadway, 2022, Atmospheric Pollution Research

Venkatram has collaborated repeatedly with coauthors such as Yifan Ding, Ranga Rajan Thiruvenkatachari, F. M. Hopkins, Gavendra Pandey, and Saravanan Arunachalam. This collaborative network supports research contributions in several focused areas of atmospheric and environmental science.

Best Publications

  • AERMOD: A Dispersion Model for Industrial Source Applications. Part I: General Model Formulation and Boundary Layer Characterization.

    Alan J. Cimorelli;Steven G. Perry;Akula Venkatram;Jeffrey C. Weil

  • AERMOD: A dispersion model for industrial source applications. Part II: Model performance against 17 field study databases

    Steven G. Perry;Alan J. Cimorelli;Robert J. Paine;Roger W. Brode

  • Testing a comprehensive acid deposition model

    A. Venkatram;P.K. Karamchandani;P.K. Misra

  • A framework for evaluating regional-scale numerical photochemical modeling systems

    Robin Dennis;Tyler Fox;Montse Fuentes;Alice Gilliland

  • RLINE: A line source dispersion model for near-surface releases

    Michelle G. Snyder;Akula Venkatram;David K. Heist;Steven G. Perry

  • Estimating the Monin-Obukhov length in the stable boundary layer for dispersion calculations

    A. Venkatram

  • A model of internal boundary-layer development

    A. Venkatram

  • Evaluating Air-Quality Models: Review and Outlook

    J. C. Weil;R. I. Sykes;A. Venkatram

  • The electrical analogy does not apply to modeling dry deposition of particles

    Akula Venkatram;Jonathan Pleim

  • Estimating near-road pollutant dispersion: A model inter-comparison

    David Heist;Vlad Isakov;Steven Perry;Michelle Snyder

  • A critique of empirical emission factor models: a case study of the AP-42 model for estimating PM10 emissions from paved roads

    Akula Venkatram

  • The development and application of a simplified ozone modeling system (SOMS)

    Akula Venkatram;Prakash Karamchandani;Prasad Pai;Robert Goldstein

  • Lectures on Air Pollution Modeling

    Akula Venkatram;John C. Wyngaard

  • Modeling dispersion at distances of meters from urban sources

    Akula Venkatram;Vlad Isakov;Jing Yuan;David Pankratz

  • Determination of the relative ozone and PAN deposition velocities at night

    P. B. Shepson;J. W. Bottenheim;D. R. Hastie;A. Venkatram

  • Approximating dispersion from a finite line source

    Akula Venkatram;T.W. Horst

  • Re-formulation of plume spread for near-surface dispersion

    Akula Venkatram;Michelle G. Snyder;David K. Heist;Steven G. Perry

  • An examination of the Pasquill-Gifford-Turner dispersion scheme

    Akula Venkatram

  • The effects of roadside vegetation characteristics on local, near-road air quality

    Parikshit Deshmukh;Vlad Isakov;Akula Venkatram;Bo Yang

  • On the use of kriging in the spatial analysis of acid precipitation data

    Akula Venkatram

  • Analysis of air quality data near roadways using a dispersion model

    Akula Venkatram;Vlad Isakov;Eben Thoma;Richard Baldauf

Frequent Co-Authors

Vlad Isakov
Vlad Isakov Environmental Protection Agency
Richard Baldauf
Richard Baldauf Environmental Protection Agency
Jonathan E. Pleim
Jonathan E. Pleim Environmental Protection Agency
Steven R. Hanna
Steven R. Hanna Harvard University
K. Max Zhang
K. Max Zhang Cornell University
Patrick L. Kinney
Patrick L. Kinney Boston University
William P. L. Carter
William P. L. Carter University of California, Riverside
Jan W. Bottenheim
Jan W. Bottenheim Environment and Climate Change Canada
Paul B. Shepson
Paul B. Shepson Stony Brook University

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