Andrew Rawson

990 total citations
31 papers, 787 citations indexed

About

Andrew Rawson is a scholar working on Soil Science, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Andrew Rawson has authored 31 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Soil Science, 13 papers in Ocean Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Andrew Rawson's work include Maritime Navigation and Safety (13 papers), Soil Carbon and Nitrogen Dynamics (11 papers) and Structural Integrity and Reliability Analysis (10 papers). Andrew Rawson is often cited by papers focused on Maritime Navigation and Safety (13 papers), Soil Carbon and Nitrogen Dynamics (11 papers) and Structural Integrity and Reliability Analysis (10 papers). Andrew Rawson collaborates with scholars based in United Kingdom, Australia and United States. Andrew Rawson's co-authors include Mario Brito, Les Janik, S. Forrester, Zoheir Sabeur, R. H. Merry, Warwick Badgery, Aaron Simmons, Brian Murphy, David Phillips and Remy van de Ven and has published in prestigious journals such as Soil Science Society of America Journal, Journal of Environmental Management and Agriculture Ecosystems & Environment.

In The Last Decade

Andrew Rawson

30 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Rawson United Kingdom 15 297 261 195 162 122 31 787
Seied Mehdy Hashemy Shahdany Iran 22 515 1.7× 313 1.2× 345 1.8× 37 0.2× 100 0.8× 75 1.4k
Ronghui Li China 20 176 0.6× 98 0.4× 54 0.3× 60 0.4× 58 0.5× 103 1.3k
John W. Nicklow United States 16 809 2.7× 637 2.4× 241 1.2× 34 0.2× 54 0.4× 52 2.0k
Hongrui Wang China 20 230 0.8× 272 1.0× 47 0.2× 68 0.4× 40 0.3× 111 1.1k
Hanmi Zhou China 12 73 0.2× 478 1.8× 148 0.8× 85 0.5× 440 3.6× 29 1.5k
Mohammad Taghi Sattari Iran 21 145 0.5× 858 3.3× 86 0.4× 42 0.3× 228 1.9× 68 1.6k
Mohammad Karimi Iran 15 51 0.2× 124 0.5× 44 0.2× 56 0.3× 75 0.6× 46 801
P. Montesinos Spain 28 758 2.6× 389 1.5× 689 3.5× 22 0.1× 114 0.9× 71 2.0k
Yifan Yang China 18 63 0.2× 68 0.3× 168 0.9× 19 0.1× 22 0.2× 71 958
Guohua Fang China 24 383 1.3× 200 0.8× 82 0.4× 38 0.2× 89 0.7× 115 1.8k

Countries citing papers authored by Andrew Rawson

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Rawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Rawson. 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 Andrew Rawson. The network helps show where Andrew Rawson may publish in the future.

Co-authorship network of co-authors of Andrew Rawson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Rawson. A scholar is included among the top collaborators of Andrew Rawson 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 Andrew Rawson. Andrew Rawson 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.
Rawson, Andrew, et al.. (2024). Spatial analysis of fishing tows with Automatic Identification System (AIS) data to inform offshore wind layouts. Marine and Coastal Fisheries. 16(1). 1 indexed citations
2.
Rawson, Andrew & Mario Brito. (2022). A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis. Transport Reviews. 43(1). 108–130. 75 indexed citations
3.
Rawson, Andrew & Mario Brito. (2021). Developing contextually aware ship domains using machine learning. Journal of Navigation. 74(3). 515–532. 15 indexed citations
4.
Rawson, Andrew, Zoheir Sabeur, & Mario Brito. (2021). Geospatial Data Analysis for Global Maritime Risk Assessment Using the Discrete Global Grid System. 3904–3907. 2 indexed citations
5.
Rawson, Andrew, Mario Brito, & Zoheir Sabeur. (2021). Spatial Modeling of Maritime Risk Using Machine Learning. Risk Analysis. 42(10). 2291–2311. 24 indexed citations
6.
Rawson, Andrew, et al.. (2021). From Conventional to Machine Learning Methods for Maritime Risk Assessment. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 15(4). 757–764. 8 indexed citations
7.
Rawson, Andrew & Mario Brito. (2020). A critique of the use of domain analysis for spatial collision risk assessment. Ocean Engineering. 219. 108259–108259. 66 indexed citations
8.
Rawson, Andrew & Mario Brito. (2020). Modelling of Ship Navigation in Extreme Weather Events using Machine Learning. Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. 605–612. 3 indexed citations
9.
Badgery, Warwick, Brian Murphy, Annette Cowie, et al.. (2020). Soil carbon market-based instrument pilot – the sequestration of soil organic carbon for the purpose of obtaining carbon credits. Soil Research. 59(1). 12–23. 29 indexed citations
10.
Rawson, Andrew, et al.. (2019). Sharing soil knowledge and evaluating progress in the New South Wales Soil Knowledge Network. Soil Use and Management. 35(1). 105–116. 6 indexed citations
11.
Rawson, Andrew, et al.. (2015). Assessing the impacts to vessel traffic from offshore wind farms in the Thames Estuary. ePrints Soton (University of Southampton). 28 indexed citations
12.
Badgery, Warwick, Jason Crean, Brian Murphy, et al.. (2013). Bridging the gap between science, economics and policy to develop and implement a pilot Market Based Instrument for soil carbon.. UKnowledge (University of Kentucky). 1811–1814. 1 indexed citations
13.
Badgery, Warwick, et al.. (2013). The effects of management and vegetation on soil carbon stocks in temperate Australian grazing systems.. UKnowledge (University of Kentucky). 1223–1226. 1 indexed citations
14.
Rawson, Andrew, et al.. (2013). Practical Application of Domain Analysis: Port of London Case Study. Journal of Navigation. 67(2). 193–209. 36 indexed citations
15.
Márquez, Andrés, Andrew Rawson, Tahir Cader, et al.. (2012). Implementing the data center energy productivity metric. ACM Journal on Emerging Technologies in Computing Systems. 8(4). 1–22. 6 indexed citations
16.
Yu, Bofu, Brian Murphy, Jai Vaze, & Andrew Rawson. (2010). A first-order assessment of climate change effects on rainfall erosivity and soil erosion in New South Wales, Australia. EGUGA. 3859. 1 indexed citations
17.
Rawson, Andrew, et al.. (2010). Soil carbon variability of a grassy woodland ecosystem in south-eastern Australia: implications for sampling.. 82–85. 1 indexed citations
18.
Janik, Les, S. Forrester, & Andrew Rawson. (2009). The prediction of soil chemical and physical properties from mid-infrared spectroscopy and combined partial least-squares regression and neural networks (PLS-NN) analysis. Chemometrics and Intelligent Laboratory Systems. 97(2). 179–188. 119 indexed citations
19.
Rawson, Andrew, et al.. (2007). Problems in naming and defining the swampy meadow—An Australian perspective. Journal of Environmental Management. 87(3). 461–473. 27 indexed citations
20.
Montagu, Kelvin D., et al.. (2003). Carbon sequestration predictor for land use change in inland areas of New South Wales - background, user notes, assumptions and preliminary model testing. 68. 35. 6 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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