Jeffrey Neal

15.1k total citations · 6 hit papers
151 papers, 9.3k citations indexed

About

Jeffrey Neal is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Jeffrey Neal has authored 151 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Global and Planetary Change, 90 papers in Water Science and Technology and 59 papers in Atmospheric Science. Recurrent topics in Jeffrey Neal's work include Flood Risk Assessment and Management (132 papers), Hydrology and Watershed Management Studies (90 papers) and Hydrology and Drought Analysis (42 papers). Jeffrey Neal is often cited by papers focused on Flood Risk Assessment and Management (132 papers), Hydrology and Watershed Management Studies (90 papers) and Hydrology and Drought Analysis (42 papers). Jeffrey Neal collaborates with scholars based in United Kingdom, United States and Netherlands. Jeffrey Neal's co-authors include Paul Bates, Christopher Sampson, Guy Schumann, Timothy Fewtrell, Laurence Hawker, Dai Yamazaki, Fiachra O’Loughlin, Jim Freer, Mark A. Trigg and James Savage and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Jeffrey Neal

149 papers receiving 9.1k citations

Hit Papers

A high‐accuracy map of gl... 2015 2026 2018 2022 2017 2015 2022 2022 2023 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A high‐accuracy map of global terrain elevations
    2017 939 citations Dai Yamazaki, Daiki Ikeshima et al. profile →
  2. A high-resolution global flood hazard model
    2015 408 citations Christopher Sampson, Paul Bates et al. Water Resources Research profile →
  3. A 30 m global map of elevation with forests and buildings removed
    2022 336 citations Laurence Hawker, James Savage et al. Environmental Research Letters profile →
  4. Inequitable patterns of US flood risk in the Anthropocene
    2022 256 citations Oliver Wing, William Lehman et al. Nature Climate Change profile →
  5. Flood hazard potential reveals global floodplain settlement patterns
    2023 103 citations Jeffrey Neal, Gemma Coxon et al. profile →
  6. Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions
    2025 16 citations Ivan D. Haigh, Niall Quinn et al. Natural hazards and earth system sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeffrey Neal United Kingdom 53 7.4k 4.7k 3.6k 1.5k 1.5k 151 9.3k
Hessel Winsemius Netherlands 44 5.9k 0.8× 3.0k 0.6× 2.7k 0.8× 796 0.5× 965 0.7× 109 7.7k
G. Robert Brakenridge United States 37 4.4k 0.6× 2.4k 0.5× 2.7k 0.8× 2.0k 1.3× 999 0.7× 91 8.5k
Guy Schumann United Kingdom 45 5.7k 0.8× 3.6k 0.8× 2.4k 0.7× 1.2k 0.8× 1.2k 0.8× 135 6.8k
L. C. Smith United States 57 4.8k 0.6× 2.8k 0.6× 6.5k 1.8× 3.5k 2.3× 1.4k 1.0× 201 11.9k
Bruno Merz Germany 67 12.0k 1.6× 6.3k 1.3× 4.7k 1.3× 1.2k 0.8× 1.5k 1.0× 261 15.2k
Bart van den Hurk Netherlands 61 13.2k 1.8× 2.9k 0.6× 8.0k 2.3× 995 0.7× 2.5k 1.7× 227 16.4k
Marco Borga Italy 64 7.1k 1.0× 5.1k 1.1× 4.7k 1.3× 1.7k 1.1× 1.9k 1.3× 228 11.6k
Walter W. Immerzeel Netherlands 65 6.1k 0.8× 5.3k 1.1× 11.5k 3.2× 952 0.6× 1.4k 0.9× 164 16.1k
James A. Smith United States 69 10.5k 1.4× 4.5k 1.0× 8.2k 2.3× 711 0.5× 3.7k 2.5× 249 14.2k
Seth Westra Australia 47 9.8k 1.3× 3.5k 0.8× 5.2k 1.5× 578 0.4× 1.1k 0.7× 128 11.9k

Countries citing papers authored by Jeffrey Neal

Since Specialization
Citations

This map shows the geographic impact of Jeffrey Neal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeffrey Neal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Neal more than expected).

Fields of papers citing papers by Jeffrey Neal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Neal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeffrey Neal. The network helps show where Jeffrey Neal may publish in the future.

Co-authorship network of co-authors of Jeffrey Neal

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Neal. A scholar is included among the top collaborators of Jeffrey Neal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey Neal. Jeffrey Neal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Haigh, Ivan D., Niall Quinn, Jeffrey Neal, et al.. (2025). Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions. Natural hazards and earth system sciences. 25(2). 747–816. 16 indexed citations breakdown →
3.
Liu, Yinxue, et al.. (2025). A Bare‐Earth GoogleDEM to Simulate Flooding in New Delhi, India. Water Resources Research. 61(6). 1 indexed citations
4.
Becker, M., Marta Marcos, Fabrice Papa, et al.. (2024). Coastal Flooding in Asian Megadeltas: Recent Advances, Persistent Challenges, and Call for Actions Amidst Local and Global Changes. Reviews of Geophysics. 62(4). 11 indexed citations
5.
Hawker, Laurence, Jeffrey Neal, James Savage, et al.. (2024). Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam. Natural hazards and earth system sciences. 24(2). 539–566. 5 indexed citations
6.
Neal, Jeffrey, et al.. (2024). Future Change in Urban Flooding Using New Convection‐Permitting Climate Projections. Water Resources Research. 60(1). 12 indexed citations
7.
Kesserwani, Georges, et al.. (2023). LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations. Geoscientific model development. 16(9). 2391–2413. 30 indexed citations
8.
Zhao, Gang, Paul Bates, Jeffrey Neal, & Dai Yamazaki. (2023). Flood Defense Standard Estimation Using Machine Learning and Its Representation in Large‐Scale Flood Hazard Modeling. Water Resources Research. 59(5). 11 indexed citations
9.
Bates, Paul, et al.. (2023). An improved subgrid channel model with upwind-form artificial diffusion for river hydrodynamics and floodplain inundation simulation. Geoscientific model development. 16(11). 3291–3311. 4 indexed citations
10.
Wing, Oliver, William Lehman, Paul Bates, et al.. (2022). Inequitable patterns of US flood risk in the Anthropocene. Nature Climate Change. 12(2). 156–162. 256 indexed citations breakdown →
11.
Kittel, Cécile Marie Margaretha, et al.. (2021). Hydraulic Model Calibration Using CryoSat‐2 Observations in the Zambezi Catchment. Water Resources Research. 57(9). 15 indexed citations
12.
Emerton, Rebecca, Hannah Cloke, Andrea Ficchì, et al.. (2020). Emergency flood bulletins for Cyclones Idai and Kenneth: A critical evaluation of the use of global flood forecasts for international humanitarian preparedness and response. International Journal of Disaster Risk Reduction. 50. 101811–101811. 57 indexed citations
13.
O’Loughlin, Fiachra, Jeffrey Neal, Guy Schumann, R. Edward Beighley, & Paul Bates. (2019). A LISFLOOD-FP hydraulic model of the middle reach of the Congo. Journal of Hydrology. 580. 124203–124203. 46 indexed citations
14.
Zischg, Andreas Paul, Rolf Weingartner, Niall Quinn, et al.. (2018). Effects of variability in probable maximum precipitation patterns on flood losses. Hydrology and earth system sciences. 22(5). 2759–2773. 35 indexed citations
15.
Yamazaki, Dai, Daiki Ikeshima, Jeffrey Neal, et al.. (2017). MERIT DEM: A new high-accuracy global digital elevation model and its merit to global hydrodynamic modeling. AGU Fall Meeting Abstracts. 2017. 17 indexed citations
16.
Hoch, Jannis, Jeffrey Neal, Fedor Baart, et al.. (2017). GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling. Geoscientific model development. 10(10). 3913–3929. 29 indexed citations
17.
Sampson, Christopher, Oliver Wing, A. D. Smith, Paul Bates, & Jeffrey Neal. (2017). Validation of a 30m resolution flood hazard model of the conterminous United States. AGU Fall Meeting Abstracts. 2017. 4 indexed citations
18.
Trigg, Mark A., Cathryn E. Birch, Jeffrey Neal, et al.. (2016). The credibility challenge for global fluvial flood risk analysis. Environmental Research Letters. 11(9). 94014–94014. 149 indexed citations
19.
Wood, Melissa, Renaud Hostache, Jeffrey Neal, et al.. (2016). Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniques. Hydrology and earth system sciences. 20(12). 4983–4997. 77 indexed citations
20.
Wood, Melissa, Jeffrey Neal, Renaud Hostache, et al.. (2014). Using time series of satellite SAR images to calibrate channel depth and friction parameters in the LISFLOOD-FP hydraulic model. Bristol Research (University of Bristol). 5136. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hessel Winsemius Breakdown of academic impact, for papers by G. Robert Brakenridge Breakdown of academic impact, for papers by Guy Schumann Breakdown of academic impact, for papers by L. C. Smith Breakdown of academic impact, for papers by Bruno Merz Breakdown of academic impact, for papers by Bart van den Hurk Breakdown of academic impact, for papers by Marco Borga Breakdown of academic impact, for papers by Walter W. Immerzeel Breakdown of academic impact, for papers by James A. Smith Breakdown of academic impact, for papers by Seth Westra
Rankless by CCL
2026