World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
47
Citations
9276
World Ranking
5733
National Ranking
140

Massimiliano Zappa 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 Massimiliano Zappa 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: 210 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Massimiliano Zappa 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 Massimiliano Zappa 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: 47 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Massimiliano Zappa is affiliated with the Swiss Federal Institute for Forest, Snow and Landscape Research in Switzerland. Their research primarily focuses on environmental science, with a significant emphasis on water science and technology, global and planetary change, and atmospheric science.

Their work covers a range of subfields including:

  • Water Science and Technology
  • Global and Planetary Change
  • Atmospheric Science
  • Ocean Engineering
  • Environmental Chemistry

Key topics in their research include:

  • Hydrology and Watershed Management Studies
  • Cryospheric studies and observations
  • Flood Risk Assessment and Management
  • Climate variability and models
  • Plant Water Relations and Carbon Dynamics
  • Meteorological Phenomena and Simulations
  • Tree-ring climate responses

Massimiliano Zappa has contributed to various publications, frequently collaborating with several coauthors. Notable frequent coauthors include Pascal Horton, Daniel Viviroli, Anna E. Sikorska-Senoner, Manuela I. Brunner, and Fabrizio Fenicia.

Their research has appeared in multiple venues, most often published in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Hydrology and earth system sciences
  • Scientific Data
  • The Science of The Total Environment
  • Journal of Hydrometeorology

Among recent papers authored or coauthored by Massimiliano Zappa are:

  • Hybrid forecasting: blending climate predictions with AI models, 2023, Hydrology and earth system sciences
  • Large-scale early-wilting response of Central European forests to the 2018 extreme drought, 2020, Global Change Biology
  • CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland, 2023, Earth system science data
  • Four years of daily stable water isotope data in stream water and precipitation from three Swiss catchments, 2022, Scientific Data
  • FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics, 2020, Geoscientific model development

Best Publications

  • Are niche-based species distribution models transferable in space?

    Christophe F. Randin;Thomas Dirnböck;Stefan Dullinger;Niklaus E. Zimmermann

  • Climate change and plant distribution: local models predict high-elevation persistence

    Christophe F. Randin;Robin Engler;Signe Normand;Massimiliano Zappa

  • ALPINE3D: a detailed model of mountain surface processes and its application to snow hydrology

    Michael Lehning;Ingo Völksch;David Gustafsson;Tuan Anh Nguyen

  • Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections

    T. Bosshard;M. Carambia;K. Goergen;S. Kotlarski

  • An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools

    D. Viviroli;M. Zappa;J. Gurtz;R. Weingartner

  • REAL—Ensemble radar precipitation estimation for hydrology in a mountainous region

    Urs Germann;Marc Berenguer;Daniel Sempere-Torres;Massimiliano Zappa

  • The hydrological role of snow and glaciers in alpine river basins and their distributed modeling

    M. Verbunt;J. Gurtz;K. Jasper;H. Lang

  • Does model performance improve with complexity? : A case study with three hydrological models

    Rene Orth;Maria Staudinger;Sonia I. Seneviratne;Jan Seibert

  • A comparative study in modelling runoff and its components in two mountainous catchments

    Joachim Gurtz;Massimiliano Zappa;Karsten Jasper;Herbert Lang

  • Hybrid forecasting: blending climate predictions with AI models

    Unknown

  • Swiss prealpine Rietholzbach research catchment and lysimeter: 32 year time series and 2003 drought event

    Sonia I. Seneviratne;Irene Lehner;Joachim Gurtz;Adriaan J. Teuling;Adriaan J. Teuling

  • Seasonal Water Balance of an Alpine Catchment as Evaluated by Different Methods for Spatially Distributed Snowmelt Modelling

    M. Zappa;F. Pos;U. Strasser;P.M.M. Warmerdam

  • MAP D-PHASE: Real-Time Demonstration of Weather Forecast Quality in the Alpine region

    Mathias W. Rotach;Paolo Ambrosetti;Felix Ament;Christof Appenzeller

  • Superposition of three sources of uncertainties in operational flood forecasting chains

    Massimiliano Zappa;Simon Jaun;Urs Germann;André Walser

  • Present and future water scarcity in Switzerland: Potential for alleviation through reservoirs and lakes.

    Manuela I. Brunner;Astrid Björnsen Gurung;Massimiliano Zappa;Harry Zekollari

  • Extreme heat and runoff extremes in the Swiss Alps

    M. Zappa;C. Kan

  • MAP D-PHASE: real-time demonstration of hydrological ensemble prediction systems

    Massimiliano Zappa;Mathias W. Rotach;Marco Arpagaus;Manfred Dorninger

  • An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios

    N. Addor;N. Addor;N. Addor;S. Jaun;F. Fundel;M. Zappa

  • Large-scale early-wilting response of Central European forests to the 2018 extreme drought.

    Philipp Brun;Achilleas Psomas;Christian Ginzler;Wilfried Thuiller

  • Turbulence Structure and Exchange Processes in an Alpine Valley: The Riviera Project

    Mathias W. Rotach;Pierluigi Calanca;Giovanni Graziani;Joachim Gurtz

  • Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland - part I: modelling framework and calibration results

    Daniel Viviroli;Daniel Viviroli;Massimiliano Zappa;Jan Schwanbeck;Jan Schwanbeck;Joachim Gurtz

  • Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin

    Lieke Melsen;Adriaan Teuling;Paul Torfs;Massimilliano Zappa

Frequent Co-Authors

Tobias Jonas
Tobias Jonas Swiss Federal Institute of Aquatic Science and Technology
Rolf Weingartner
Rolf Weingartner University of Bern
Olivia Martius
Olivia Martius University of Bern
Nadine Salzmann
Nadine Salzmann University of Fribourg
Adriaan J. Teuling
Adriaan J. Teuling Wageningen University & Research
Jens M. Turowski
Jens M. Turowski University of Potsdam
Christian Huggel
Christian Huggel University of Zurich
Mathias W. Rotach
Mathias W. Rotach University of Innsbruck

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Related Online Degrees & Career Pathways

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For advanced academic and research opportunities, pursuing unconventional paths like 1 year PhD programs online no dissertation can be attractive for professionals seeking to deepen their expertise without the traditional dissertation process. Such programs provide flexibility and faster routes to doctoral credentials that can lead to higher-level positions in academia or industry.

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