Nick A. Chappell

3.4k total citations
100 papers, 2.2k citations indexed

About

Nick A. Chappell is a scholar working on Water Science and Technology, Global and Planetary Change and Soil Science. According to data from OpenAlex, Nick A. Chappell has authored 100 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Water Science and Technology, 47 papers in Global and Planetary Change and 29 papers in Soil Science. Recurrent topics in Nick A. Chappell's work include Hydrology and Watershed Management Studies (76 papers), Flood Risk Assessment and Management (31 papers) and Soil erosion and sediment transport (29 papers). Nick A. Chappell is often cited by papers focused on Hydrology and Watershed Management Studies (76 papers), Flood Risk Assessment and Management (31 papers) and Soil erosion and sediment transport (29 papers). Nick A. Chappell collaborates with scholars based in United Kingdom, Malaysia and United States. Nick A. Chappell's co-authors include Włodek Tych, Kawi Bidin, Keith Beven, Ian Douglas, J. L. Ternan, Jeffrey J. McDonnell, Stewart W. Franks, Barry Hankin, R. P. D. Walsh and Thomas W. Giambelluca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Water Research.

In The Last Decade

Nick A. Chappell

96 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick A. Chappell United Kingdom 28 1.3k 1.1k 640 523 478 100 2.2k
M. Bonell Australia 21 1.3k 1.0× 942 0.9× 673 1.1× 419 0.8× 472 1.0× 49 2.0k
Marcelo D. Nosetto Argentina 26 732 0.6× 1.5k 1.4× 647 1.0× 575 1.1× 406 0.8× 62 2.5k
Rollin H. Hotchkiss United States 20 1.1k 0.8× 626 0.6× 525 0.8× 874 1.7× 264 0.6× 99 1.9k
Yi Luo China 27 1.3k 1.0× 1.4k 1.3× 685 1.1× 332 0.6× 572 1.2× 77 2.7k
Mariano Hernández United States 20 1.2k 0.9× 992 0.9× 1.2k 1.8× 910 1.7× 276 0.6× 47 2.2k
Kellie B. Vaché United States 20 1.5k 1.1× 1.1k 1.1× 321 0.5× 358 0.7× 614 1.3× 49 2.2k
Geneviève Ali Canada 24 1.3k 1.0× 669 0.6× 659 1.0× 761 1.5× 341 0.7× 55 2.0k
D. G. Chandler United States 27 832 0.6× 899 0.8× 501 0.8× 401 0.8× 759 1.6× 60 2.4k
Fernando Falco Pruski Brazil 22 1.3k 1.0× 721 0.7× 1.2k 1.8× 624 1.2× 295 0.6× 131 2.1k

Countries citing papers authored by Nick A. Chappell

Since Specialization
Citations

This map shows the geographic impact of Nick A. Chappell'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 Nick A. Chappell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick A. Chappell more than expected).

Fields of papers citing papers by Nick A. Chappell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick A. Chappell. 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 Nick A. Chappell. The network helps show where Nick A. Chappell may publish in the future.

Co-authorship network of co-authors of Nick A. Chappell

This figure shows the co-authorship network connecting the top 25 collaborators of Nick A. Chappell. A scholar is included among the top collaborators of Nick A. Chappell 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 Nick A. Chappell. Nick A. Chappell 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.
Beven, Keith, Trevor Page, Paul J. Smith, et al.. (2024). UPH Problem 20 – reducing uncertainty in model prediction: a model invalidation approach based on a Turing-like test. SHILAP Revista de lepidopterología. 385. 129–134. 2 indexed citations
2.
Chappell, Nick A. & Keith Beven. (2024). Nature-based solutions for effective flood mitigation: potential design criteria. Environmental Research Letters. 19(7). 74006–74006. 4 indexed citations
3.
Smith, Paul J., Keith Beven, Francesca Pianosi, et al.. (2023). Technical note: The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty. Hydrology and earth system sciences. 27(13). 2523–2534. 5 indexed citations
4.
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6.
Page, Trevor, Keith Beven, Barry Hankin, & Nick A. Chappell. (2022). Interpolation of rainfall observations during extreme rainfall events in complex mountainous terrain. Hydrological Processes. 36(11). 10 indexed citations
7.
Beven, Keith, Stuart N. Lane, Trevor Page, et al.. (2022). On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes. Hydrological Processes. 36(10). 14 indexed citations
8.
Beven, Keith & Nick A. Chappell. (2021). Perceptual perplexity and parameter parsimony. Wiley Interdisciplinary Reviews Water. 8(4). 37 indexed citations
9.
Page, Trevor, Nick A. Chappell, Keith Beven, Barry Hankin, & Ann Kretzschmar. (2020). Assessing the significance of wet‐canopy evaporation from forests during extreme rainfall events for flood mitigation in mountainous regions of theUnited Kingdom. Hydrological Processes. 34(24). 4740–4754. 27 indexed citations
10.
Beven, Keith, Paul Bates, Eleanor Blyth, et al.. (2019). Developing observational methods to drive future hydrological science: Can we make a start as a community?. Hydrological Processes. 34(3). 868–873. 42 indexed citations
11.
Tych, Włodek, et al.. (2018). Extended State Dependent Parameter modelling with a Data-Based Mechanistic approach to nonlinear model structure identification. Environmental Modelling & Software. 104. 81–93. 10 indexed citations
12.
Chappell, Nick A., et al.. (2015). Data Based Mechanistic modelling optimal utilisation of raingauge data for rainfall-riverflow modelling of sparsely gauged tropical basin in Ghana. Lancaster EPrints (Lancaster University). 5(8). 29–49. 3 indexed citations
13.
Kretzschmar, Ann, Włodek Tych, & Nick A. Chappell. (2014). Reversing hydrology: Estimation of sub-hourly rainfall time-series from streamflow. Environmental Modelling & Software. 60. 290–301. 14 indexed citations
14.
Chappell, Nick A., et al.. (2011). River sediment monitoring for baseline and change characterisation: A new management tool for the Ramu River Communities in Papua New Guinea. Lancaster EPrints (Lancaster University). 1 indexed citations
15.
Chappell, Nick A., et al.. (2009). Validation and interpretation of spatial soil-water modelling in the tropical subcatchments of Mae Chaem basin.. IAHS-AISH publication. 174–180. 1 indexed citations
16.
Chappell, Nick A., Kawi Bidin, Ian Douglas, et al.. (2008). Malaysian forestry guidelines for mitigating water quality impacts in rainforests: implications from 20 years of local hydrological science.. 55(9). 30–2. 2 indexed citations
17.
Chappell, Nick A., et al.. (2008). Climate regulation of humid tropical hydrology.. Lancaster EPrints (Lancaster University). 1 indexed citations
18.
Chappell, Nick A., et al.. (2006). Identification of the distribution of hydroclimatic cycles of field observations in Southeast Asia.. Lancaster EPrints (Lancaster University). 356–361. 3 indexed citations
19.
Tych, Włodek, et al.. (2004). Statistical Modelling of Rainfall and River Flow in Thailand. Journal of the Geological Society of India. 64(4). 503–515. 19 indexed citations
20.
Bidin, Kawi & Nick A. Chappell. (2004). Sub-canopy rainfall and wet-canopy evaporation in a selectively-logged rainforest, Sabah, Malaysia.. Lancaster EPrints (Lancaster University). 3 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.

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