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John M. Norman

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Plant Science and Agronomy 83 366 341 125 115 222 34746
Environmental Sciences 85 737 700 317 293 261 35839

John M. Norman publications per year

The chart shows the history of publications by John M. Norman between 1966 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John M. Norman published across 60 years, from 1966 to 2025, averaging 4.6 papers a year. Output peaked at 16 publications in 2003. 6 of the 275 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1966 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2003. 1966: 1 publication 1967: 0 publications 1968: 0 publications 1969: 2 publications 1970: 0 publications 1971: 3 publications 1972: 0 publications 1973: 0 publications 1974: 1 publication 1975: 2 publications 1976: 1 publication 1977: 5 publications 1978: 1 publication 1979: 1 publication 1980: 1 publication 1981: 2 publications 1982: 3 publications 1983: 4 publications 1984: 5 publications 1985: 8 publications 1986: 3 publications 1987: 5 publications 1988: 6 publications 1989: 6 publications 1990: 5 publications 1991: 13 publications 1992: 10 publications 1993: 5 publications 1994: 6 publications 1995: 13 publications 1996: 9 publications 1997: 14 publications 1998: 15 publications 1999: 7 publications 2000: 12 publications 2001: 6 publications 2002: 11 publications 2003: 16 publications 2004: 13 publications 2005: 5 publications 2006: 9 publications 2007: 7 publications 2008: 6 publications 2009: 5 publications 2010: 1 publication 2011: 4 publications 2012: 0 publications 2013: 5 publications 2014: 2 publications 2015: 5 publications 2016: 0 publications 2017: 0 publications 2018: 3 publications 2019: 0 publications 2020: 0 publications 2021: 0 publications 2022: 0 publications 2023: 2 publications 2024: 3 publications 2025: 3 publications
1966 2025

275 publications in total across all disciplines

View publications per year as a table
John M. Norman: publications per year, 1966 to 2025
Year Publications
1966 1
1967 0
1968 0
1969 2
1970 0
1971 3
1972 0
1973 0
1974 1
1975 2
1976 1
1977 5
1978 1
1979 1
1980 1
1981 2
1982 3
1983 4
1984 5
1985 8
1986 3
1987 5
1988 6
1989 6
1990 5
1991 13
1992 10
1993 5
1994 6
1995 13
1996 9
1997 14
1998 15
1999 7
2000 12
2001 6
2002 11
2003 16
2004 13
2005 5
2006 9
2007 7
2008 6
2009 5
2010 1
2011 4
2012 0
2013 5
2014 2
2015 5
2016 0
2017 0
2018 3
2019 0
2020 0
2021 0
2022 0
2023 2
2024 3
2025 3
Total 275
Download as CSV

John M. Norman 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 John M. Norman 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, 221–225 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: 222 publications — 83rd percentile

83% 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
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 61 222
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

John M. Norman 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 John M. Norman 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, 83 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: 83 D-Index — 94th percentile

94% 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
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 83
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

Research.com Recognitions

  • 2007 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Agriculture
  • Ecosystem

The scientist’s investigation covers issues in Remote sensing, Leaf area index, Vegetation, Atmospheric sciences and Canopy. His work on Radiometry as part of his general Remote sensing study is frequently connected to Surface, thereby bridging the divide between different branches of science. He interconnects Boreal and Black spruce, Taiga in the investigation of issues within Leaf area index.

The Vegetation study combines topics in areas such as Hydrology, Evapotranspiration and Meteorology, Satellite imagery. His biological study focuses on Sensible heat. His studies in Canopy integrate themes in fields like Plant cover, Thematic Mapper and Interception.

His most cited work include:

  • Correcting eddy-covariance flux underestimates over a grassland (1285 citations)
  • Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature (1082 citations)
  • Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems (951 citations)

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

His primary areas of study are Remote sensing, Hydrology, Atmospheric sciences, Canopy and Agronomy. Remote sensing is closely attributed to Wind speed in his study. He has researched Atmospheric sciences in several fields, including Meteorology, Energy balance, Vegetation and Evapotranspiration.

His work carried out in the field of Canopy brings together such families of science as Leaf wetness, Interception, Leaf area index and Water content. His work in Agronomy addresses subjects such as Ecology, which are connected to disciplines such as Forestry. While the research belongs to areas of Sensible heat, John M. Norman spends his time largely on the problem of Heat flux, intersecting his research to questions surrounding Latent heat.

He most often published in these fields:

  • Remote sensing (27.43%)
  • Hydrology (23.43%)
  • Atmospheric sciences (22.29%)

What were the highlights of his more recent work (between 2004-2018)?

  • Hydrology (23.43%)
  • Atmospheric sciences (22.29%)
  • Remote sensing (27.43%)

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

His primary scientific interests are in Hydrology, Atmospheric sciences, Remote sensing, Meteorology and Soil water. His research investigates the connection between Hydrology and topics such as Humidity that intersect with problems in Stomatal conductance. The study incorporates disciplines such as Soil plant atmosphere continuum, Canopy, Leaf area index, Heat flux and Vegetation in addition to Atmospheric sciences.

His Vegetation research is multidisciplinary, relying on both Planetary boundary layer and Sensible heat. His biological study spans a wide range of topics, including Radiation, Eddy covariance and Instrumentation. His Meteorology research incorporates themes from Remote sensing, Evapotranspiration and Geostationary orbit.

Between 2004 and 2018, his most popular works were:

  • A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation (447 citations)
  • Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery (324 citations)
  • A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales (292 citations)

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

  • Ecology
  • Agriculture
  • Ecosystem

John M. Norman focuses on Evapotranspiration, Meteorology, Remote sensing, Atmospheric sciences and Vegetation. His Meteorology research includes elements of Land use and Urban area. In his research on the topic of Remote sensing, Moisture, Soil respiration, Canopy conductance and Energy balance is strongly related with Eddy covariance.

His Atmospheric sciences research is multidisciplinary, incorporating perspectives in Hydrology, Canopy and Leaf area index. His Leaf area index research integrates issues from Radiation and Heat flux. John M. Norman has included themes like Planetary boundary layer and Sensible heat in his Vegetation study.

Best Publications

  • Correcting eddy-covariance flux underestimates over a grassland

    Tracy E Twine;W. P. Kustas;J. M. Norman;D. R. Cook

  • Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature

    J.M. Norman;W.P. Kustas;K.S. Humes

  • Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems

    Stith T. Gower;Chris J. Kucharik;John M. Norman

  • Leaf area index of boreal forests: theory, techniques, and measurements

    Jing M. Chen;Paul M. Rich;Stith T. Gower;John M. Norman

  • Instrument for Indirect Measurement of Canopy Architecture

    J. M. Welles;J. M. Norman

  • A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing

    M.C. Anderson;J.M. Norman;G.R. Diak;W.P. Kustas

  • Testing the performance of a dynamic global ecosystem model: Water balance, carbon balance, and vegetation structure

    Christopher J. Kucharik;Jonathan A. Foley;Christine Delire;Veronica A. Fisher

  • Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover

    William P Kustas;John M Norman

  • Use of remote sensing for evapotranspiration monitoring over land surfaces

    W. P. Kustas;J. M. Norman

  • A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation

    Martha C. Anderson;John M. Norman;John R. Mecikalski;Jason A. Otkin

  • The global distribution of cultivable lands: current patterns and sensitivity to possible climate change

    Navin Ramankutty;Jonathan A. Foley;John Norman;Kevin McSweeney

  • Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship

    William P. Kustas;John M. Norman;Martha C. Anderson;Andrew N. French

  • Carbon distribution and aboveground net primary production in aspen, jack pine, and black spruce stands in Saskatchewan and Manitoba, Canada

    S. T. Gower;J. G. Vogel;J. M. Norman;C. J. Kucharik

  • Root mass, net primary production and turnover in aspen, jack pine and black spruce forests in Saskatchewan and Manitoba, Canada

    Sarah J. Steele;Stith T. Gower;Jason G. Vogel;John M. Norman

  • Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery

    M. C. Anderson;W. P. Kustas;J. M. Norman;C. R. Hain

  • Terminology in thermal infrared remote sensing of natural surfaces

    John M. Norman;Francois Becker

  • A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales

    M.C. Anderson;J.M. Norman;W.P. Kustas;R. Houborg

  • Rapid Estimation of Leaf Area Index in Conifer and Broad-Leaf Plantations

    Stith T. Gower;John M. Norman

  • Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces.

    Unknown

  • A comparison of six methods for measuring soil‐surface carbon dioxide fluxes

    J.M. Norman;C.J. Kucharik;S.T. Gower;D.D. Baldocchi

  • A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology

    Martha C. Anderson;John M. Norman;John R. Mecikalski;Jason A. Otkin

  • A comparison of optical and direct methods for estimating foliage surface area index in forests

    Karin S Fassnacht;Stith T Gower;John M Norman;Ross E McMurtric

  • Measurements of branch area and adjusting leaf area index indirect measurements

    Christopher J Kucharik;John M Norman;Stith T Gower

  • Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature [Agric. For. Meteorol., 77 (1995) 263–293]☆

    J.M. Norman;W.P. Kustas;K.S. Humes

Frequent Co-Authors

William P. Kustas
William P. Kustas Agricultural Research Service
Martha C. Anderson
Martha C. Anderson Agricultural Research Service
Stith T. Gower
Stith T. Gower North Carolina State University
Kristofor R. Brye
Kristofor R. Brye University of Arkansas at Fayetteville
Christopher J. Kucharik
Christopher J. Kucharik University of Wisconsin–Madison
Larry G. Bundy
Larry G. Bundy University of Wisconsin–Madison
Cristine L.S. Morgan
Cristine L.S. Morgan Texas A&M University
John H. Prueger
John H. Prueger Agricultural Research Service
Andrew N. French
Andrew N. French Agricultural Research Service
Timothy J. Arkebauer
Timothy J. Arkebauer University of Nebraska–Lincoln

External Links

Personal website of John M. Norman

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Best Scientists Citing John M. Norman

Martha C. Anderson

Martha C. Anderson

Agricultural Research Service

Publications: 192

William P. Kustas

William P. Kustas

Agricultural Research Service

Publications: 185

Jing M. Chen

Jing M. Chen

University of Toronto

Publications: 132

Shunlin Liang

Shunlin Liang

University of Hong Kong

Publications: 106

Christopher Hain

Christopher Hain

Marshall Space Flight Center

Publications: 103

Zhao-Liang Li

Zhao-Liang Li

University of Strasbourg

Publications: 93

Stith T. Gower

Stith T. Gower

North Carolina State University

Publications: 75

John H. Prueger

John H. Prueger

Agricultural Research Service

Publications: 74

Dennis D. Baldocchi

Dennis D. Baldocchi

University of California, Berkeley

Publications: 69

Christopher J. Kucharik

Christopher J. Kucharik

University of Wisconsin–Madison

Publications: 64

Zhongbo Su

Zhongbo Su

University of Twente

Publications: 59

Qinhuo Liu

Qinhuo Liu

Chinese Academy of Sciences

Publications: 57

Richard G. Allen

Richard G. Allen

University of Idaho

Publications: 50

Changhui Peng

Changhui Peng

University of Quebec at Montreal

Publications: 50

Albert Olioso

Albert Olioso

INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

Publications: 50

Steven W. Running

Steven W. Running

University of Montana

Publications: 48

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