World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
71
Citations
22170
World Ranking
1553
National Ranking
660

Plant Science and Agronomy

D-Index
72
Citations
22503
World Ranking
618
National Ranking
185

Bruno Basso publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where Bruno Basso sits on this spectrum.

36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36 publications 467+

This scientist: 304 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

Bruno Basso D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where Bruno Basso sits on this spectrum.

30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 72 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

Research.com Recognitions

  • 2015 - Fellow of the Soil Science Society of America (SSSA)
  • 2013 - Fellow of the American Society of Agronomy (ASA)
  • 2008 - Lloyd R. Frederick Soil Teaching Travel Study Award, American Society of Agronomy
  • 2007 - L.R. Ahuja Ag Systems Modeling Award, American Society of Agronomy

Overview

What is he best known for?

The fields of study he is best known for:

  • Agriculture
  • Statistics
  • Ecology

His primary scientific interests are in Agronomy, Crop simulation model, Crop yield, Climate change and Simulation modeling. His studies in Agronomy integrate themes in fields like Agriculture, Soil water, Leaching and Spatial variability. His work in the fields of Soil water, such as Soil carbon and Soil quality, overlaps with other areas such as Environmental pollution.

His work deals with themes such as Ecosystem, Manure and Sowing, which intersect with Leaching. His studies examine the connections between Crop yield and genetics, as well as such issues in Yield, with regards to Crop, Global warming, Growing season and Bivariate analysis. His Climate change research is multidisciplinary, relying on both Food security and Phenology.

His most cited work include:

  • Rising Temperatures Reduce Global Wheat Production (801 citations)
  • Uncertainty in Simulating Wheat Yields Under Climate Change (749 citations)
  • The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies (557 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Agronomy, Climate change, Agriculture, Crop and Crop yield. His studies deal with areas such as Soil water, Soil carbon and Leaching as well as Agronomy. His Global warming study, which is part of a larger body of work in Climate change, is frequently linked to Simulation modeling, bridging the gap between disciplines.

His Crop research is multidisciplinary, incorporating perspectives in Biomass and Yield. Bruno Basso combines subjects such as Statistics and Yield with his study of Crop yield. Bruno Basso has researched Crop simulation model in several fields, including Irrigation and Spatial variability.

He most often published in these fields:

  • Agronomy (64.56%)
  • Climate change (23.73%)
  • Agriculture (23.73%)

What were the highlights of his more recent work (between 2018-2021)?

  • Agronomy (64.56%)
  • Agriculture (23.73%)
  • Yield (11.71%)

In recent papers he was focusing on the following fields of study:

Bruno Basso focuses on Agronomy, Agriculture, Yield, Crop and Climate change. His Agronomy research incorporates themes from Soil water and Leaching. His Agriculture study combines topics from a wide range of disciplines, such as Remote sensing, Agricultural engineering and Agricultural economics.

The study incorporates disciplines such as Abundance, Parasitic Weeds, Tropics, Precipitation and Crop yield in addition to Yield. His Crop study incorporates themes from Statistics and Irrigation. The various areas that Bruno Basso examines in his Climate change study include Wheat grain, Soil carbon and Low nitrogen.

Between 2018 and 2021, his most popular works were:

  • Climate change impact and adaptation for wheat protein (97 citations)
  • Global wheat production with 1.5 and 2.0°C above pre-industrial warming (40 citations)
  • Seasonal crop yield forecast: Methods, applications, and accuracies (34 citations)

In his most recent research, the most cited papers focused on:

  • Agriculture
  • Statistics
  • Ecology

His main research concerns Agriculture, Agronomy, Yield, Crop yield and Food security. His research integrates issues of Agricultural economics and Environmental planning in his study of Agriculture. In his work, Wheat grain and Experimental data is strongly intertwined with Climate change, which is a subfield of Agronomy.

His research in Yield intersects with topics in Reactive nitrogen, Fertilizer, Crop and Greenhouse gas. The Crop study which covers Extrapolation that intersects with Phenology. As a part of the same scientific study, Bruno Basso usually deals with the Food security, concentrating on Crop simulation model and frequently concerns with Normalized Difference Vegetation Index, Grazing, Forage, Neutral Detergent Fiber and Spatial variability.

Best Publications

  • Rising Temperatures Reduce Global Wheat Production

    S. Asseng;F. Ewert;P. Martre;P. Martre;R. P. Rötter

  • Uncertainty in Simulating Wheat Yields Under Climate Change

    S. Asseng;F. Ewert;C. Rosenzweig;J. W. Jones

  • The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies

    C. Rosenzweig;C. Rosenzweig;J. W. Jones;J. L. Hatfield;A. C. Ruane;A. C. Ruane

  • How Do Various Maize Crop Models Vary in Their Responses to Climate Change Factors

    Simona Bassu;Nadine Brisson;Jean Louis Durand;Kenneth Boote

  • Brief History of Agricultural Systems Modeling

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

  • Similar estimates of temperature impacts on global wheat yield by three independent methods

    Bing Liu;Bing Liu;Senthold Asseng;Christoph Müller;Frank Ewert

  • Multimodel ensembles of wheat growth: many models are better than one

    Pierre Martre;Pierre Martre;Daniel Wallach;Senthold Asseng;Frank Ewert

  • Climate change impact and adaptation for wheat protein

    Senthold Asseng;Pierre Martre;Andrea Maiorano;Reimund P Rötter

  • 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

  • Digital agriculture to design sustainable agricultural systems

    Bruno Basso;John Antle

  • Conceptual model of a future farm management information system

    C. G. Sørensen;S. Fountas;E. Nash;L. Pesonen

  • The uncertainty of crop yield projections is reduced by improved temperature response functions.

    Enli Wang;Pierre Martre;Zhigan Zhao;Zhigan Zhao;Frank Ewert

  • Impact of compost, manure and inorganic fertilizer on nitrate leaching and yield for a 6-year maize-alfalfa rotation in Michigan

    Bruno Basso;Joe T. Ritchie

  • Spatial validation of crop models for precision agriculture

    B. Basso;J.T. Ritchie;F.J. Pierce;R.P. Braga

  • Examples of strategies to analyze spatial and temporal yield variability using crop models

    William D. Batchelor;Bruno Basso;Joel O. Paz

  • Contribution of Crop Models to Adaptation in Wheat

    Karine Chenu;John Roy Porter;Pierre Martre;Bruno Basso

  • Seasonal crop yield forecast: methods, applications, and accuracies.

    Bruno Basso;Bruno Basso;Lin Liu

  • Soil and Water Quality Rapidly Responds to the Perennial Grain Kernza Wheatgrass

    Steve W. Culman;Sieglinde S. Snapp;Mary Ollenburger;Bruno Basso

  • Energy Use and Economic Evaluation of a Three Year Crop Rotation for Conservation and Organic Farming in NE Italy

    L. Sartori;B. Basso;M. Bertocco;G. Oliviero

  • Long-term nitrate loss along an agricultural intensity gradient in the Upper Midwest USA

    S.P. Syswerda;B. Basso;B. Basso;S.K. Hamilton;J.B. Tausig

  • Environmental and economic benefits of variable rate nitrogen fertilization in a nitrate vulnerable zone

    Bruno Basso;Benjamin Dumont;Davide Cammarano;Andrea Pezzuolo

  • A strategic and tactical management approach to select optimal N fertilizer rates for wheat in a spatially variable field

    Bruno Basso;Bruno Basso;Bruno Basso;Joe T. Ritchie;Davide Cammarano;Luigi Sartori

  • Response of wheat growth, grain yield and water use to elevated CO2 under a Free‐Air CO2 Enrichment (FACE) experiment and modelling in a semi‐arid environment

    Garry J. O'Leary;Brendan Christy;James Nuttall;Neil Huth

Frequent Co-Authors

Davide Cammarano
Davide Cammarano Aarhus University
Senthold Asseng
Senthold Asseng Technical University of Munich
Peter Grace
Peter Grace Queensland University of Technology
Alex C. Ruane
Alex C. Ruane Goddard Institute for Space Studies
Peter J. Thorburn
Peter J. Thorburn Commonwealth Scientific and Industrial Research Organisation
Katharina Waha
Katharina Waha Commonwealth Scientific and Industrial Research Organisation
Kurt Christian Kersebaum
Kurt Christian Kersebaum Czech Academy of Sciences
Sebastian Gayler
Sebastian Gayler University of Hohenheim
Kenneth J. Boote
Kenneth J. Boote University of Florida
Claas Nendel
Claas Nendel University of Potsdam

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