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Jeffrey C. Neal

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 62 2592 2471 200 192 256 14752

Jeffrey C. Neal publications per year

The chart shows the history of publications by Jeffrey C. Neal between 2005 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jeffrey C. Neal published across 22 years, from 2005 to 2026, averaging 17.2 papers a year. Output peaked at 37 publications in 2022. 23 of the 378 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2005 to 2026. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2022. 2005: 2 publications 2006: 0 publications 2007: 1 publication 2008: 1 publication 2009: 12 publications 2010: 8 publications 2011: 14 publications 2012: 21 publications 2013: 22 publications 2014: 16 publications 2015: 20 publications 2016: 17 publications 2017: 27 publications 2018: 28 publications 2019: 18 publications 2020: 27 publications 2021: 16 publications 2022: 37 publications 2023: 37 publications 2024: 31 publications 2025: 22 publications 2026: 1 publication
2005 2026

378 publications in total across all disciplines

View publications per year as a table
Jeffrey C. Neal: publications per year, 2005 to 2026
Year Publications
2005 2
2006 0
2007 1
2008 1
2009 12
2010 8
2011 14
2012 21
2013 22
2014 16
2015 20
2016 17
2017 27
2018 28
2019 18
2020 27
2021 16
2022 37
2023 37
2024 31
2025 22
2026 1
Total 378
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Jeffrey C. Neal 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 Jeffrey C. Neal sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 251–260 publications, is where this scientist sits. 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 256 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180 256
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

Jeffrey C. Neal 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 Jeffrey C. Neal sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 62 D-Index, is where this scientist sits. 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 62 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143 62
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

Overview

Jeffrey C. Neal is affiliated with the University of Bristol in the United Kingdom. Their research is primarily situated within the field of Environmental Science, with significant contributions spanning several subfields. These include Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering, and Ecology.

The body of work by Neal focuses extensively on topics related to flood risk assessment and management, hydrology and watershed management studies, and tropical and extratropical cyclones research. Additional concentration areas include hydrology and drought analysis, hydrology and sediment transport processes, climate variability and models, and meteorological phenomena and simulations.

Neal's recent publications include:

  • "A 30 m global map of elevation with forests and buildings removed" (2022, Environmental Research Letters)
  • "Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates" (2020, Water Resources Research)
  • "Inequitable patterns of US flood risk in the Anthropocene" (2022, Nature Climate Change)
  • "A deep convolutional neural network model for rapid prediction of fluvial flood inundation" (2020, Journal of Hydrology)
  • "Flood hazard potential reveals global floodplain settlement patterns" (2023, Nature Communications)

Frequently collaborating with other researchers, Neal has coauthored numerous publications with Paul Bates, Laurence Hawker, Christopher Sampson, Raphaël M. Tshimanga, and James Savage.

Neal's work has appeared repeatedly in several prominent publication venues, including:

  • Water Resources Research
  • Zenodo (CERN European Organization for Nuclear Research)
  • Geophysical Monograph
  • Natural Hazards and Earth System Sciences
  • Environmental Research Letters

Best Publications

  • A high-accuracy map of global terrain elevations

    Dai Yamazaki;Daiki Ikeshima;Ryunosuke Tawatari;Tomohiro Yamaguchi

  • A high‐resolution global flood hazard model

    Christopher C. Sampson;Andrew M. Smith;Paul D. Bates;Jeffrey C. Neal

  • A 30 m global map of elevation with forests and buildings removed

    Unknown

  • A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas

    Jeffrey C. Neal;Guy Schumann;Guy Schumann;Paul D. Bates

  • Inequitable patterns of US flood risk in the Anthropocene

    Unknown

  • Comparative flood damage model assessment: towards a European approach

    B. Jongman;H. Kreibich;H. Apel;J. I. Barredo

  • Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates

    Paul D. Bates;Niall Quinn;Christopher Sampson;Andrew Smith

  • Flood Detection in Urban Areas Using TerraSAR-X

    D.C. Mason;R. Speck;B. Devereux;G.J.-P. Schumann

  • Integrating the LISFLOOD-FP 2D hydrodynamic model with the CAESAR model: implications for modelling landscape evolution

    Tom J. Coulthard;Jeffrey C Neal;Paul D. Bates;Jorge Ramirez

  • Advances in pan-European flood hazard mapping

    Lorenzo Alfieri;Peter Salamon;Alessandra Bianchi;Jeffrey Neal

  • A deep convolutional neural network model for rapid prediction of fluvial flood inundation

    Syed Kabir;Syed Kabir;Sandhya Patidar;Xilin Xia;Qiuhua Liang

  • How much physical complexity is needed to model flood inundation

    Jeffrey Neal;Ignacio Villanueva;Nigel Wright;Thomas Willis

  • Benchmarking urban flood models of varying complexity and scale using high resolution terrestrial LiDAR data

    Timothy J. Fewtrell;Alastair Duncan;Christopher C. Sampson;Jeffrey C. Neal

  • An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope

    M. Durand;C. J. Gleason;P. A. Garambois;D. Bjerklie

  • Near Real-Time Flood Detection in Urban and Rural Areas Using High-Resolution Synthetic Aperture Radar Images

    D. C. Mason;I. J. Davenport;J. C. Neal;G. J-P Schumann

  • A first large-scale flood inundation forecasting model

    G. J.-P. Schumann;Jeff Neal;N. Voisin;K. M. Andreadis

  • The credibility challenge for global fluvial flood risk analysis

    Mark Trigg;Cathryn Birch;Jeffrey Neal;Paul Bates

  • Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations

    Jeffrey C. Neal;Paul D. Bates;Timothy J. Fewtrell;Neil M. Hunter

  • New estimates of flood exposure in developing countries using high-resolution population data.

    Andrew Smith;Paul D. Bates;Oliver Wing;Christopher Sampson

  • Perspectives on Digital Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a High-Accuracy Open Access Global DEM

    Laurence Hawker;Paul Bates;Jeffrey Neal;Jonathan Rougier

  • Evaluating a new LISFLOOD‐FP formulation with data from the summer 2007 floods in Tewkesbury, UK

    Jeff Neal;Gj-P Schumann;TJ Fewtrell;M Budimir

  • A data assimilation approach to discharge estimation from space

    Jeffrey Neal;Guy Schumann;Paul Bates;Wouter Buytaert

Frequent Co-Authors

Paul D Bates
Paul D Bates University of Bristol
Guy Schumann
Guy Schumann University of Bristol
David C. Mason
David C. Mason University of Reading
Jim Freer
Jim Freer University of Bristol
Michael Durand
Michael Durand The Ohio State University
Hannah Cloke
Hannah Cloke University of Reading
Keith Beven
Keith Beven Lancaster University
Dai Yamazaki
Dai Yamazaki University of Tokyo
Marco Chini
Marco Chini National Institute of Geophysics and Volcanology
Thorsten Wagener
Thorsten Wagener University of Potsdam

External Links

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Additionally, the human and societal impacts of environmental issues are essential. Accredited programs like an accredited online bachelors in sociology provide valuable insights into social behaviors and community engagement, complementing scientific knowledge with social context.

Best Scientists Citing Jeffrey C. Neal

Paul D Bates

Paul D Bates

University of Bristol

Publications: 65

Guy Schumann

Guy Schumann

University of Bristol

Publications: 38

Heidi Kreibich

Heidi Kreibich

Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences

Publications: 33

Michael Durand

Michael Durand

The Ohio State University

Publications: 31

Florian Pappenberger

Florian Pappenberger

European Centre for Medium-Range Weather Forecasts

Publications: 28

Tamlin M. Pavelsky

Tamlin M. Pavelsky

University of North Carolina at Chapel Hill

Publications: 25

Dai Yamazaki

Dai Yamazaki

University of Tokyo

Publications: 25

Keith Beven

Keith Beven

Lancaster University

Publications: 24

Tom J. Coulthard

Tom J. Coulthard

University of Hull

Publications: 24

Marco Chini

Marco Chini

National Institute of Geophysics and Volcanology

Publications: 23

Giuliano Di Baldassarre

Giuliano Di Baldassarre

Uppsala University

Publications: 23

Bruno Merz

Bruno Merz

University of Potsdam

Publications: 21

Walter Collischonn

Walter Collischonn

Federal University of Rio Grande do Sul

Publications: 20

Patrick Matgen

Patrick Matgen

Luxembourg Institute of Science and Technology

Publications: 20

Jeroen C. J. H. Aerts

Jeroen C. J. H. Aerts

Vrije Universiteit Amsterdam

Publications: 20

Hannah Cloke

Hannah Cloke

University of Reading

Publications: 19

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