Christian W. Dawson

6.4k total citations · 3 hit papers
66 papers, 4.9k citations indexed

About

Christian W. Dawson is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Christian W. Dawson has authored 66 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Environmental Engineering, 25 papers in Global and Planetary Change and 23 papers in Water Science and Technology. Recurrent topics in Christian W. Dawson's work include Hydrological Forecasting Using AI (28 papers), Hydrology and Watershed Management Studies (23 papers) and Hydrology and Drought Analysis (11 papers). Christian W. Dawson is often cited by papers focused on Hydrological Forecasting Using AI (28 papers), Hydrology and Watershed Management Studies (23 papers) and Hydrology and Drought Analysis (11 papers). Christian W. Dawson collaborates with scholars based in United Kingdom, New Zealand and Malaysia. Christian W. Dawson's co-authors include Robert L. Wilby, Elaine Barrow, Robert J. Abrahart, Linda See, Colin Harpham, Asaad Y. Shamseldin, Nick J. Mount, Ray Dawson, M. Brown and François Anctil and has published in prestigious journals such as Trends in Plant Science, Journal of Hydrology and Computers & Education.

In The Last Decade

Christian W. Dawson

63 papers receiving 4.6k citations

Hit Papers

sdsm — a decision support tool for the assessment of regi... 1998 2026 2007 2016 2002 2001 1998 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian W. Dawson United Kingdom 21 2.8k 2.6k 2.4k 1.0k 418 66 4.9k
José D. Salas United States 38 3.4k 1.2× 2.0k 0.8× 984 0.4× 876 0.9× 330 0.8× 118 5.0k
Shie‐Yui Liong Singapore 31 1.5k 0.5× 1.4k 0.5× 1.7k 0.7× 591 0.6× 327 0.8× 77 3.3k
Anurag Malik India 40 1.9k 0.7× 1.5k 0.6× 2.0k 0.8× 436 0.4× 436 1.0× 122 3.8k
Yuk Feng Huang Malaysia 35 1.9k 0.7× 1.4k 0.6× 1.8k 0.7× 408 0.4× 443 1.1× 152 3.8k
Bahram Choubin Iran 35 2.6k 0.9× 2.0k 0.8× 2.1k 0.9× 701 0.7× 186 0.4× 58 4.8k
Nengcheng Chen China 44 3.0k 1.1× 1.1k 0.4× 2.0k 0.8× 1.5k 1.5× 216 0.5× 306 6.8k
Bernard Bobée Canada 46 5.4k 1.9× 4.1k 1.6× 2.0k 0.8× 1.2k 1.2× 344 0.8× 180 7.9k
Ali Danandeh Mehr Türkiye 33 1.6k 0.6× 1.4k 0.6× 1.8k 0.7× 317 0.3× 416 1.0× 115 3.3k
Dawei Han United Kingdom 44 3.7k 1.3× 2.8k 1.1× 2.9k 1.2× 2.7k 2.6× 332 0.8× 259 7.3k
Manish Kumar Goyal India 39 2.4k 0.9× 1.4k 0.5× 1.2k 0.5× 975 1.0× 199 0.5× 144 4.3k

Countries citing papers authored by Christian W. Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Christian W. Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian W. Dawson. 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 Christian W. Dawson. The network helps show where Christian W. Dawson may publish in the future.

Co-authorship network of co-authors of Christian W. Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Christian W. Dawson. A scholar is included among the top collaborators of Christian W. Dawson 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 Christian W. Dawson. Christian W. Dawson 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.
Dawson, Christian W., et al.. (2024). Contextualised physical metrics: The physical demands vary with phase of play during elite soccer match play. European Journal of Sport Science. 24(11). 1627–1638. 2 indexed citations
2.
Dawson, Christian W., et al.. (2023). Evidence for a new model of the complex interrelationship of ball possession, physical intensity and performance in elite soccer. Scandinavian Journal of Medicine and Science in Sports. 34(1). e14546–e14546. 2 indexed citations
3.
Wilby, Robert L., et al.. (2014). The Statistical DownScaling Model - Decision Centric (SDSM-DC): conceptual basis and applications. Climate Research. 61(3). 259–276. 99 indexed citations
4.
Mount, Nick J., Christian W. Dawson, & Robert J. Abrahart. (2013). Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework. Hydrology and earth system sciences. 17(7). 2827–2843. 14 indexed citations
5.
6.
Mount, Nick J., Christian W. Dawson, & Robert J. Abrahart. (2013). Legitimising neural network river forecasting models: a new data-driven mechanistic modelling framework. 1 indexed citations
7.
Dawson, Christian W., Nick J. Mount, Robert J. Abrahart, & Asaad Y. Shamseldin. (2012). Ideal point error for model assessment in data-driven river flow forecasting. Hydrology and earth system sciences. 16(8). 3049–3060. 14 indexed citations
8.
Mount, Nick J., et al.. (2011). The need for operational reasoning in data‐driven rating curve prediction of suspended sediment. Hydrological Processes. 26(26). 3982–4000. 8 indexed citations
9.
Abrahart, Robert J. & Christian W. Dawson. (2009). Neural network modelling trade-offs: small might be beautiful but perhaps bigger is better?. EGU General Assembly Conference Abstracts. 4832. 1 indexed citations
10.
Chung, P.W.H., et al.. (2008). Cartoons beyond clipart: A computer tool for storyboarding and storywriting. Computers & Education. 52(1). 188–200. 10 indexed citations
11.
Abrahart, Robert J. & Christian W. Dawson. (2005). Neural Network Hydrological Modelling: Linear Output Activation Functions?. AGUFM. 2005. 1 indexed citations
12.
Harpham, Colin, Christian W. Dawson, & M. Brown. (2004). A review of genetic algorithms applied to training radial basis function networks. Neural Computing and Applications. 13(3). 193–201. 89 indexed citations
13.
Yang, Lili, et al.. (2002). Prediction Of Dwelling Fire Occurrences Using Data Mining Technologies. WIT transactions on information and communication technologies. 28. 1 indexed citations
14.
Dawson, Christian W. & Robert L. Wilby. (1999). A comparison of artificial neural networks used for river forecasting. Hydrology and earth system sciences. 3(4). 529–540. 68 indexed citations
15.
Dawson, Christian W. & Robert L. Wilby. (1998). An artificial neural network approach to rainfall-runoff modelling. Hydrological Sciences Journal. 43(1). 47–66. 552 indexed citations breakdown →
16.
Dawson, Christian W.. (1998). An Artificial Neural Network Approach to Software Testing Effort Estimation. 4 indexed citations
17.
Dawson, Christian W. & Ray Dawson. (1995). Generalised activity-on-the-node networks for managing uncertainty in projects. International Journal of Project Management. 13(6). 353–362. 10 indexed citations
18.
Dawson, Christian W. & Ray Dawson. (1994). Clarification of node representation in generalized activity networks for practical project management. International Journal of Project Management. 12(2). 81–88. 9 indexed citations
19.
Dawson, Christian W.. (1970). A Neural Network Approach To SoftwareProject Effort Estimation. WIT transactions on information and communication technologies. 16. 2 indexed citations
20.
Dawson, Christian W.. (1970). An Artificial Neural Network Approach ToSoftware Testing Effort Estimation. WIT transactions on information and communication technologies. 20. 2 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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