World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
45
Citations
17830
World Ranking
6226
National Ranking
2241

Ralph Ferraro 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 Ralph Ferraro 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: 171 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Ralph Ferraro 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 Ralph Ferraro 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: 45 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Ralph Ferraro is affiliated with the University of Maryland, College Park in the United States. Their research primarily spans the fields of Earth and Planetary Sciences and Environmental Science, with a significant focus on Atmospheric Science as a subfield.

The scientist's work covers specific topics including precipitation measurement and analysis, meteorological phenomena and simulations, soil moisture and remote sensing, cryospheric studies and observations, climate variability and models, climate change and permafrost, and atmospheric aerosols and clouds.

Ferraro has contributed to multiple publication venues. Noteworthy places where their research has appeared include:

  • Remote Sensing
  • Bulletin of the American Meteorological Society
  • Journal of Hydrometeorology
  • IEEE Transactions on Geoscience and Remote Sensing
  • Journal of Geophysical Research Atmospheres

Several research papers highlight Ferraro's recent contributions:

  • "Hailstorm Detection by Satellite Microwave Radiometers" (2020) in Remote Sensing
  • "Performance of Radiative Transfer Models in the Microwave Region" (2020) in Journal of Geophysical Research Atmospheres
  • "A New Method for Hail Detection from the GPM Constellation: A Prospect for a Global Hailstorm Climatology" (2020) in Remote Sensing
  • "A Snowfall Detection Algorithm for ATMS Over Ocean, Sea Ice, and Coast" (2022) in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products" (2020) in Advances in Meteorology

Frequent collaborators include:

  • Huan Meng
  • Jifu Yin
  • Yalei You
  • Xiwu Zhan
  • Veljko Petković

Best Publications

  • The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present)

    Robert F. Adler;George J. Huffman;Alfred Chang;Ralph Ferraro

  • The Global Precipitation Climatology Project (GPCP) combined precipitation dataset

    George J. Huffman;Robert F. Adler;Philip Arkin;Alfred Chang

  • The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors

    Christian Kummerow;Y. Hong;W. S. Olson;S. Yang

  • The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation

    Robert F. Adler;Mathew R.P. Sapiano;George J. Huffman;Jian Jian Wang

  • GPCP Pentad Precipitation analyses: An experimental dataset based on gauge observations and satellite estimates

    Pingping Xie;John E. Janowiak;Phillip A. Arkin;Robert Adler

  • The Development of SSM/I Rain-Rate Retrieval Algorithms Using Ground-Based Radar Measurements

    Ralph R. Ferraro;Gerard F. Marks

  • Advanced microwave sounding unit cloud and precipitation algorithms

    Fuzhong Weng;Limin Zhao;Ralph R. Ferraro;Gene Poe

  • The Evolution of the Goddard Profiling Algorithm to a Fully Parametric Scheme

    Christian D. Kummerow;David L. Randel;Mark Kulie;Nai-Yu Wang

  • Special sensor microwave imager derived global rainfall estimates for climatological applications

    Ralph R. Ferraro

  • An eight-year (1987-1994) time series of rainfall, clouds, water vapor, snow cover, and sea ice derived from SSM/I measurements

    Ralph R. Ferraro;Fuzhong Weng;Norman C. Grody;Alan Basist

  • MiRS: An All-Weather 1DVAR Satellite Data Assimilation and Retrieval System

    S-A Boukabara;K. Garrett;Wanchun Chen;F. Iturbide-Sanchez

  • A Screening Methodology for Passive Microwave Precipitation Retrieval Algorithms

    Ralph R. Ferraro;Eric A. Smith;Wesley Berg;George J. Huffman

  • NOAA operational hydrological products derived from the advanced microwave sounding unit

    R.R. Ferraro;Fuzhong Weng;N.C. Grody;Limin Zhao

  • Results of WetNet PIP-2 Project

    E. A. Smith;J. E. Lamm;R. Adler;J. Alishouse

  • International Global Precipitation Measurement (GPM) Program and Mission: An Overview

    Eric A. Smith;Ghassem Asrar;Yoji Furuhama;Amnon Ginati

  • NASDARainfall algorithms for AMSR-E

    T. Wilheit;C.D. Kummerow;R. Ferraro

  • Evaluation of Biases of Satellite Rainfall Estimation Algorithms over the Continental United States

    Jeffrey R. McCollum;Witold F. Krajewski;Ralph R. Ferraro;Mamoudou B. Ba

  • Effects of surface conditions on rain identification using the DMSP‐SSM/I

    Ralph R. Ferraro;Norman C. Grody;Gerard F. Marks

  • Determination of precipitable water and cloud liquid water over oceans from the NOAA 15 advanced microwave sounding unit

    Norman Grody;Jiang Zhao;Ralph Ferraro;Fuzhong Weng

  • Next generation of NOAA/NESDIS TMI, SSM/I, and AMSR‐E microwave land rainfall algorithms

    Jeffrey R. McCollum;Jeffrey R. McCollum;Ralph R. Ferraro;Ralph R. Ferraro

Frequent Co-Authors

Norman C. Grody
Norman C. Grody National Oceanic and Atmospheric Administration
Fuzhong Weng
Fuzhong Weng National Oceanic and Atmospheric Administration
Robert F. Adler
Robert F. Adler University of Maryland, College Park
Vincenzo Levizzani
Vincenzo Levizzani Institute of Atmospheric Sciences and Climate
George J. Huffman
George J. Huffman Goddard Space Flight Center
Christian D. Kummerow
Christian D. Kummerow Colorado State University
Chris Kidd
Chris Kidd Goddard Space Flight Center
Thomas M. Smith
Thomas M. Smith National Oceanic and Atmospheric Administration
Pingping Xie
Pingping Xie National Oceanic and Atmospheric Administration
Zhanqing Li
Zhanqing Li University of Maryland, College Park

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