World's Best Scientists 2026 revealed!
Rafael Muñoz-Carpena

Rafael Muñoz-Carpena

D-Index & Metrics

Earth Science

D-Index
42
Citations
7616
World Ranking
5196
National Ranking
1943

Rafael Muñoz-Carpena publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Rafael Muñoz-Carpena sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

This scientist: 229 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 510 publications or more.

Rafael Muñoz-Carpena D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Rafael Muñoz-Carpena sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

This scientist: 42 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 94 D-Index or more.

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Rafael Muñoz-Carpena is affiliated with the University of Florida in the United States. Their research work spans primarily across Environmental Science and Agricultural and Biological Sciences, with significant contributions to several subfields such as Water Science and Technology, Soil Science, Global and Planetary Change, Environmental Engineering, and Ecology.

The scientist has focused on topics including Hydrology and Watershed Management Studies, Soil erosion and sediment transport, Flood Risk Assessment and Management, Soil and Water Nutrient Dynamics, Hydrological Forecasting Using AI, Hydrology and Sediment Transport Processes, and Urban Stormwater Management Solutions.

Notable recent publications include:

  • "Seasonal dynamics of terrestrially sourced nitrogen influenced Karenia brevis blooms off Florida's southern Gulf Coast" (2020, Harmful Algae)
  • "Coupling high-resolution field monitoring and MODIS for reconstructing wetland historical hydroperiod at a high temporal frequency" (2020, Remote Sensing of Environment)
  • "Parameter uncertainty drives important incongruities between simulated chlorophyll-a and phytoplankton functional group dynamics in a mechanistic management model" (2020, Environmental Modelling & Software)
  • "Quantifying the contribution of external loadings and internal hydrodynamic processes to the water quality of Lake Okeechobee" (2023, The Science of The Total Environment)
  • "Hyperspectral reflectance measurements from UAS under intermittent clouds: Correcting irradiance measurements for sensor tilt" (2021, Remote Sensing of Environment)

The prominent venues where Rafael Muñoz-Carpena has published include Transactions of the ASABE, The Science of The Total Environment, Remote Sensing of Environment, Journal of Hydrology Regional Studies, and Journal of Artificial Societies and Social Simulation.

Frequent co-authors collaborating with this researcher consist of Garey A. Fox, Younggu Her, Ray Huffaker, Álvaro Carmona-Cabrero, and Satbyeol Shin.

Rafael Muñoz-Carpena was recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2020.

Best Publications

  • Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments

    Axel Ritter;Rafael Muñoz-Carpena

  • Brief History of Agricultural Systems Modeling

    James W. Jones;John M. Antle;Bruno O. Basso;Kenneth J. Boote

  • Aggregation Kinetics of Graphene Oxides in Aqueous Solutions: Experiments, Mechanisms, and Modeling

    Lei Wu;Lin Liu;Lin Liu;Bin Gao;Rafael Muñoz-Carpena

  • Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science

    James W. Jones;John M. Antle;Bruno Basso;Kenneth J. Boote

  • Tomato yield, biomass accumulation, root distribution and irrigation water use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling

    Lincoln Zotarelli;Johannes M. Scholberg;Michael D. Dukes;Rafael Muñoz-Carpena

  • Modeling hydrology and sediment transport in vegetative filter strips

    Rafael Muñoz-Carpena;John E. Parsons;J.Wendell Gilliam

  • Using inverse methods for estimating soil hydraulic properties from field data as an alternative to direct methods

    A Ritter;François Hupet;R Munoz-Carpena;Sébastien Lambot

  • UNCERTAINTY IN TMDL MODELS

    A. Shirmohammadi;I. Chaubey;R. D. Harmel;D. D. Bosch

  • Tomato nitrogen accumulation and fertilizer use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling

    L. Zotarelli;M.D. Dukes;J.M.S. Scholberg;R. Munoz-Carpena

  • Towards a new generation of agricultural system data, models and knowledge products: Design and improvement

    John M Antle;Bruno Basso;Richard T Conant;H Charles J Godfray

  • The role of cover crops in irrigated systems: Water balance, nitrate leaching and soil mineral nitrogen accumulation

    J.L. Gabriel;R. Muñoz-Carpena;M. Quemada

  • High efficiency and selectivity of MgFe-LDH modified wheat-straw biochar in the removal of nitrate from aqueous solutions

    Lihong Xue;Bin Gao;Yongshan Wan;June Fang

  • Monitoring of nitrate leaching in sandy soils: comparison of three methods.

    Lincoln Zotarelli;Johannes M. Scholberg;Michael D. Dukes;Rafael Muñoz-Carpena

  • Untangling drivers of species distributions: Global sensitivity and uncertainty analyses of MaxEnt

    M. Convertino;R. Muñoz-Carpena;M. L. Chu-Agor;G. A. Kiker

  • Exploring vulnerability of coastal habitats to sea level rise through global sensitivity and uncertainty analyses

    M. L. Chu-Agor;R. Muñoz-Carpena;G. Kiker;A. Emanuelsson

  • Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations

    R. D. Harmel;P. K. Smith;K. W. Migliaccio;Indrajeet Chaubey

  • A DESIGN PROCEDURE FOR VEGETATIVE FILTER STRIPS USING VFSMOD-W

    Rafael Muñoz-Carpena;John E. Parsons

  • Nitrogen and water use efficiency of zucchini squash for a plastic mulch bed system on a sandy soil

    Lincoln Zotarelli;Michael D. Dukes;Johannes M. Scholberg;Travis Hanselman

  • Influence of flow concentration on parameter importance and prediction uncertainty of pesticide trapping by vegetative filter strips

    Garey A. Fox;Rafael Muñoz-Carpena;George J. Sabbagh

  • Parameter Importance and Uncertainty in Predicting Runoff Pesticide Reduction with Filter Strips

    Rafael Muñoz-Carpena;Garey A. Fox;George J. Sabbagh

  • Dynamic factor analysis of groundwater quality trends in an agricultural area adjacent to Everglades National Park.

    R. Muñoz-Carpena;A. Ritter;Y.C. Li

  • FIELD EVALUATION OF THE NEW PHILIP-DUNNE PERMEAMETER FOR MEASURING SATURATED HYDRAULIC CONDUCTIVITY

    Rafael Muñoz-Carpena;Carlos M. Regalado;Javier Álvarez-Benedi;François Bartoli

  • Numerical Approach to the Overland Flow Process in Vegetative Filter Strips

    R. Muñoz-Carpena;J. E. Parsons;J. W. Gilliam

  • Irrigation Scheduling for Green Bell Peppers Using Capacitance Soil Moisture Sensors

    L. Zotarelli;M. D. Dukes;J. M. S. Scholberg;K. Femminella

  • GLOBAL SENSITIVITY AND UNCERTAINTY ANALYSES OF THE WATER QUALITY MODEL VFSMOD-W

    R. Muñoz-Carpena;Z. Zajac;Y. M. Kuo

  • Automatic Irrigation Based on Soil Moisture for Vegetable Crops

    Rafael Muñoz-Carpena;Michael D. Dukes

Frequent Co-Authors

Yuncong Li
Yuncong Li University of Florida
Michael D. Dukes
Michael D. Dukes University of Florida
Bruce Schaffer
Bruce Schaffer University of Florida
Bin Gao
Bin Gao University of Florida
Garey A. Fox
Garey A. Fox North Carolina State University
Marnik Vanclooster
Marnik Vanclooster Université Catholique de Louvain
David D. Bosch
David D. Bosch Agricultural Research Service
Igor Linkov
Igor Linkov Engineer Research and Development Center
Lincoln Zotarelli
Lincoln Zotarelli University of Florida
Johannes Scholberg
Johannes Scholberg Wageningen University & Research

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