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Pierre Martre

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Plant Science and Agronomy 59 1247 1140 41 40 161 20344

Pierre Martre publications per year

The chart shows the history of publications by Pierre Martre between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pierre Martre published across 27 years, from 1999 to 2025, averaging 7 papers a year. Output peaked at 17 publications in 2023. 19 of the 190 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2023. 1999: 1 publication 2000: 1 publication 2001: 4 publications 2002: 2 publications 2003: 2 publications 2004: 3 publications 2005: 1 publication 2006: 4 publications 2007: 2 publications 2008: 2 publications 2009: 7 publications 2010: 6 publications 2011: 7 publications 2012: 8 publications 2013: 9 publications 2014: 8 publications 2015: 15 publications 2016: 8 publications 2017: 14 publications 2018: 14 publications 2019: 12 publications 2020: 8 publications 2021: 8 publications 2022: 8 publications 2023: 17 publications 2024: 10 publications 2025: 9 publications
1999 2025

190 publications in total across all disciplines

View publications per year as a table
Pierre Martre: publications per year, 1999 to 2025
Year Publications
1999 1
2000 1
2001 4
2002 2
2003 2
2004 3
2005 1
2006 4
2007 2
2008 2
2009 7
2010 6
2011 7
2012 8
2013 9
2014 8
2015 15
2016 8
2017 14
2018 14
2019 12
2020 8
2021 8
2022 8
2023 17
2024 10
2025 9
Total 190
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Pierre Martre 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 Pierre Martre sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 88 bars. Horizontal axis: publications, 36–40 to 467+. Vertical axis: number of scientists, 0 to 255. Most scientists, 255, have 111–115 publications. The last bar groups every scientist with 467 publications or more. The highlighted bar, 161–165 publications, is where this scientist sits. 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
36–40 publications 467+

This scientist: 161 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Plant Science and Agronomy scientists by publication count, Research.com 2026 ranking edition. Based on 6,494 ranked scientists.
Publications Scientists This scientist
36–40 2
41–45 7
46–50 40
51–55 58
56–60 60
61–65 107
66–70 130
71–75 153
76–80 191
81–85 199
86–90 206
91–95 218
96–100 226
101–105 227
106–110 247
111–115 255
116–120 253
121–125 233
126–130 219
131–135 201
136–140 194
141–145 176
146–150 157
151–155 147
156–160 151
161–165 159 161
166–170 137
171–175 128
176–180 126
181–185 98
186–190 114
191–195 100
196–200 90
201–205 71
206–210 98
211–215 70
216–220 86
221–225 61
226–230 58
231–235 53
236–240 64
241–245 39
246–250 46
251–255 51
256–260 36
261–265 44
266–270 35
271–275 30
276–280 33
281–285 35
286–290 36
291–295 26
296–300 26
301–305 31
306–310 30
311–315 21
316–320 29
321–325 14
326–330 15
331–335 15
336–340 17
341–345 15
346–350 12
351–355 17
356–360 18
361–365 12
366–370 11
371–375 6
376–380 6
381–385 11
386–390 9
391–395 10
396–400 8
401–405 4
406–410 9
411–415 11
416–420 4
421–425 7
426–430 4
431–435 3
436–440 5
441–445 8
446–450 6
451–455 7
456–460 5
461–465 6
466 2
467+ 99
Download as CSV

Pierre Martre 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 Pierre Martre sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 80 bars. Horizontal axis: D-Index, 30 to 109+. Vertical axis: number of scientists, 0 to 288. Most scientists, 288, have 34 D-Index. The last bar groups every scientist with 109 D-Index or more. The highlighted bar, 59 D-Index, is where this scientist sits. 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: 59 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Plant Science and Agronomy scientists by D-index, Research.com 2026 ranking edition. Based on 6,494 ranked scientists.
D-Index Scientists This scientist
30 200
31 236
32 253
33 283
34 288
35 240
36 246
37 243
38 247
39 229
40 232
41 230
42 228
43 219
44 193
45 164
46 158
47 143
48 131
49 127
50 122
51 122
52 110
53 102
54 98
55 79
56 85
57 88
58 91
59 62 59
60 61
61 59
62 54
63 61
64 59
65 58
66 41
67 49
68 39
69 32
70 40
71 47
72 38
73 28
74 29
75 28
76 22
77 21
78 25
79 26
80 19
81 16
82 12
83 16
84 14
85 11
86 17
87 13
88 10
89 12
90 18
91 16
92 16
93 17
94 12
95 8
96 9
97 9
98 11
99 12
100 5
101 8
102 4
103 11
104 5
105 9
106 7
107 4
108 8
109+ 99
Download as CSV

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Botany
  • Agronomy

Agronomy, Anthesis, Poaceae, Crop yield and Cultivar are his primary areas of study. His Agronomy research incorporates elements of Genetic variability, Genetic variation and Food security. His work carried out in the field of Poaceae brings together such families of science as Fructification and Storage protein.

His studies deal with areas such as Global temperature, Consistency and Estimator as well as Crop yield. As part of the same scientific family, he usually focuses on Cultivar, concentrating on Senescence and intersecting with Quantitative trait locus, Doubled haploidy, Leaf lamina and Grain yield. He interconnects Global warming and Growing season in the investigation of issues within Yield.

His most cited work include:

  • Rising Temperatures Reduce Global Wheat Production (801 citations)
  • Rising Temperatures Reduce Global Wheat Production (801 citations)
  • Uncertainty in Simulating Wheat Yields Under Climate Change (749 citations)

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

His primary areas of investigation include Agronomy, Simulation modeling, Crop, Anthesis and Crop yield. Pierre Martre focuses mostly in the field of Agronomy, narrowing it down to topics relating to Genetic variability and, in certain cases, Genetic variation. His study focuses on the intersection of Crop and fields such as Yield with connections in the field of Global warming.

His research integrates issues of Canopy and Poaceae in his study of Anthesis. Pierre Martre combines subjects such as Fructification and Quantitative trait locus with his study of Poaceae. His Crop yield study combines topics in areas such as Statistics, Phyllochron, Global change and Irrigation.

He most often published in these fields:

  • Agronomy (69.28%)
  • Simulation modeling (31.33%)
  • Crop (24.70%)

What were the highlights of his more recent work (between 2017-2021)?

  • Crop (24.70%)
  • Agronomy (69.28%)
  • Crop simulation model (13.25%)

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

Pierre Martre focuses on Crop, Agronomy, Crop simulation model, Sowing and Atmospheric sciences. He regularly links together related areas like Yield in his Crop studies. Pierre Martre is interested in Winter wheat, which is a field of Agronomy.

The various areas that he examines in his Sowing study include Genetic variability, Cultivar, Crop yield and Duration. His Cultivar research is multidisciplinary, incorporating elements of Biomass, Global warming and Growing season. Pierre Martre connects Impact assessment with Simulation modeling in his research.

Between 2017 and 2021, his most popular works were:

  • Climate change impact and adaptation for wheat protein (97 citations)
  • Diverging importance of drought stress for maize and winter wheat in Europe (76 citations)
  • Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments. (63 citations)

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

  • Gene
  • Botany
  • Agronomy

Pierre Martre spends much of his time researching Crop, Food security, Agronomy, Political science and Yield. His Crop research includes elements of Canopy, Drought stress and Winter wheat. His research in Food security intersects with topics in Wheat grain, Grain yield, Global change and Co2 concentration.

The Agronomy study combines topics in areas such as Genetic variability, Effects of global warming and Duration. Pierre Martre has included themes like Cropping and Probabilistic logic in his Yield study. Pierre Martre conducted interdisciplinary study in his works that combined Boreal and Simulation modeling.

Best Publications

  • Temperature increase reduces global yields of major crops in four independent estimates

    Chuang Zhao;Bing Liu;Shilong Piao;Xuhui Wang

  • 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

  • Raising yield potential of wheat. III. Optimizing partitioning to grain while maintaining lodging resistance

    M. John Foulkes;Gustavo A. Slafer;William J. Davies;Pete. M. Berry

  • 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 impacts on crop yields

    Unknown

  • Climate change impact and adaptation for wheat protein

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

  • Plasma Membrane Aquaporins Play a Significant Role during Recovery from Water Deficit

    Pierre Martre;Raphaël Morillon;François Barrieu;Gretchen B. North

  • Modeling Grain Nitrogen Accumulation and Protein Composition to Understand the Sink/Source Regulations of Nitrogen Remobilization for Wheat

    Pierre Martre;John R. Porter;Peter D. Jamieson;Eugène Triboï

  • Environmentally-induced changes in protein composition in developing grains of wheat are related to changes in total protein content.

    Eugène Triboï;Pierre Martre;Anne‐Marie Triboï‐Blondel

  • Identification of traits to improve the nitrogen-use efficiency of wheat genotypes

    O. Gaju;V. Allard;V. Allard;P. Martre;P. Martre;J.W. Snape

  • Diverging importance of drought stress for maize and winter wheat in Europe

    Heidi Webber;Frank Ewert;Jørgen E. Olesen;Christoph Müller

  • Deviation from the grain protein concentration–grain yield negative relationship is highly correlated to post-anthesis N uptake in winter wheat

    Matthieu Bogard;Vincent Allard;Vincent Allard;Maryse Brancourt-Hulmel;Emmanuel Heumez

  • Nitrogen partitioning and remobilization in relation to leaf senescence, grain yield and grain nitrogen concentration in wheat cultivars ☆

    Oorbessy Gaju;Vincent Allard;Vincent Allard;Pierre Martre;Pierre Martre;Jacques Le Gouis;Jacques Le Gouis

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

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

  • Contribution of Crop Models to Adaptation in Wheat

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

  • Anthesis date mainly explained correlations between post-anthesis leaf senescence, grain yield, and grain protein concentration in a winter wheat population segregating for flowering time QTLs

    Matthieu Bogard;Matthieu Jourdan;Matthieu Jourdan;Vincent Allard;Vincent Allard;Pierre Martre;Pierre Martre

  • Modelling protein content and composition in relation to crop nitrogen dynamics for wheat

    Pierre Martre;Peter D. Jamieson;Mikhail A. Semenov;Robert F. Zyskowski

  • Unravelling environmental and genetic relationships between grain yield and nitrogen concentration for wheat

    Eugène Triboi;Pierre Martre;Christine Girousse;Catherine Ravel

  • Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments.

    Fulu Tao;Reimund P. Rötter;Taru Palosuo;Carlos Gregorio Hernández Díaz‐Ambrona

  • Sowing date and nitrogen fertilisation effects on dry matter and nitrogen dynamics for durum wheat: An experimental and simulation study

    Roberto Ferrise;Andrea Triossi;Pierre Stratonovitch;Marco Bindi

Frequent Co-Authors

Mikhail A. Semenov
Mikhail A. Semenov Rothamsted Research
Senthold Asseng
Senthold Asseng Technical University of Munich
Andrew J. Challinor
Andrew J. Challinor University of Leeds
Reimund P. Rötter
Reimund P. Rötter University of Göttingen
Frank Ewert
Frank Ewert University of Bonn
Christoph Müller
Christoph Müller Potsdam Institute for Climate Impact Research
Jørgen E. Olesen
Jørgen E. Olesen Aarhus University
Taru Palosuo
Taru Palosuo Natural Resources Institute Finland
Peter J. Thorburn
Peter J. Thorburn Commonwealth Scientific and Industrial Research Organisation
Davide Cammarano
Davide Cammarano Aarhus University

External Links

Personal website of Pierre Martre Google Scholar page

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Best Scientists Citing Pierre Martre

Senthold Asseng

Senthold Asseng

Technical University of Munich

Publications: 65

Frank Ewert

Frank Ewert

University of Bonn

Publications: 45

Alex C. Ruane

Alex C. Ruane

Goddard Institute for Space Studies

Publications: 43

Gerrit Hoogenboom

Gerrit Hoogenboom

University of Florida

Publications: 42

Fulu Tao

Fulu Tao

Chinese Academy of Sciences

Publications: 40

Reimund P. Rötter

Reimund P. Rötter

University of Göttingen

Publications: 40

Kurt Christian Kersebaum

Kurt Christian Kersebaum

Czech Academy of Sciences

Publications: 37

Christoph Müller

Christoph Müller

Potsdam Institute for Climate Impact Research

Publications: 36

Matthew P. Reynolds

Matthew P. Reynolds

International Maize and Wheat Improvement Center

Publications: 36

Gustavo A. Slafer

Gustavo A. Slafer

University of Lleida

Publications: 36

Thomas Gaiser

Thomas Gaiser

University of Bonn

Publications: 34

Scott C. Chapman

Scott C. Chapman

University of Queensland

Publications: 34

Jørgen E. Olesen

Jørgen E. Olesen

Aarhus University

Publications: 34

Claas Nendel

Claas Nendel

University of Potsdam

Publications: 32

Kenneth J. Boote

Kenneth J. Boote

University of Florida

Publications: 31

Bruno Basso

Bruno Basso

Michigan State University

Publications: 31

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