Ryan H. L. Ip

407 total citations
40 papers, 269 citations indexed

About

Ryan H. L. Ip is a scholar working on Plant Science, Environmental Engineering and General Agricultural and Biological Sciences. According to data from OpenAlex, Ryan H. L. Ip has authored 40 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Environmental Engineering and 6 papers in General Agricultural and Biological Sciences. Recurrent topics in Ryan H. L. Ip's work include Soil Geostatistics and Mapping (6 papers), Agricultural risk and resilience (4 papers) and Agronomic Practices and Intercropping Systems (4 papers). Ryan H. L. Ip is often cited by papers focused on Soil Geostatistics and Mapping (6 papers), Agricultural risk and resilience (4 papers) and Agronomic Practices and Intercropping Systems (4 papers). Ryan H. L. Ip collaborates with scholars based in Australia, New Zealand and Hong Kong. Ryan H. L. Ip's co-authors include Li-Minn Ang, John Broster, James Pratley, Kah Phooi Seng, Azizur Rahman, Thomas L. Nordblom, Md. Nasim Adnan, Md Zahidul Islam, Peter Wynn and Lihong Zheng and has published in prestigious journals such as Scientific Reports, Journal of Hydrology and Marine Pollution Bulletin.

In The Last Decade

Ryan H. L. Ip

33 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan H. L. Ip Australia 9 122 34 32 31 25 40 269
Omolola M. Adisa South Africa 9 71 0.6× 23 0.7× 23 0.7× 28 0.9× 13 0.5× 12 296
Legesse Kassa Debusho South Africa 12 74 0.6× 75 2.2× 18 0.6× 21 0.7× 16 0.6× 52 482
Yumou Qiu United States 13 210 1.7× 17 0.5× 27 0.8× 99 3.2× 26 1.0× 38 456
Amanda M. Countryman United States 10 85 0.7× 59 1.7× 22 0.7× 36 1.2× 137 5.5× 35 405
Zhengqing Yuan China 10 124 1.0× 28 0.8× 10 0.3× 18 0.6× 20 0.8× 13 260
Zeng Ming China 9 295 2.4× 14 0.4× 33 1.0× 18 0.6× 67 2.7× 38 514
Bo Hou China 10 95 0.8× 13 0.4× 18 0.6× 24 0.8× 42 1.7× 26 306
Bruce Erickson United States 7 193 1.6× 31 0.9× 46 1.4× 74 2.4× 21 0.8× 16 392
D. Cornwall Australia 7 135 1.1× 30 0.9× 13 0.4× 51 1.6× 13 0.5× 11 391
Mahinda Senevi Gunaratne Malaysia 5 69 0.6× 9 0.3× 17 0.5× 37 1.2× 29 1.2× 7 258

Countries citing papers authored by Ryan H. L. Ip

Since Specialization
Citations

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

Fields of papers citing papers by Ryan H. L. Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan H. L. Ip. 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 Ryan H. L. Ip. The network helps show where Ryan H. L. Ip may publish in the future.

Co-authorship network of co-authors of Ryan H. L. Ip

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan H. L. Ip. A scholar is included among the top collaborators of Ryan H. L. Ip 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 Ryan H. L. Ip. Ryan H. L. Ip 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.
Anwar, Muhuddin Rajin, David J. Luckett, Ryan H. L. Ip, et al.. (2025). Identifying key environmental drivers of chickpea yield and water-use efficiency: a statistical modelling approach. The Journal of Agricultural Science. 163(5). 532–546.
2.
Mamun, Quazi, et al.. (2025). A bibliographic study of integrating IoT and geospatial modelling for sustainable smart agriculture in developed countries: Focus on Australia. Computers and Electronics in Agriculture. 241. 111289–111289. 1 indexed citations
3.
Behrendt, Karl, et al.. (2025). Unravelling Regenerative Agriculture’s Sustainability Benefits and Outcomes: A Scoping Review. Sustainability. 17(3). 981–981. 1 indexed citations
4.
Halder, Sajal, Arash Mahboubi, Rafiqul Islam, et al.. (2024). Malicious Package Detection using Metadata Information. arXiv (Cornell University). 1779–1789. 2 indexed citations
5.
Crawford, Jagoda, et al.. (2024). Using spacetime geostatistical analysis to improve precipitation isoscape interpolation in Australia. Journal of Hydrology. 650. 132502–132502.
6.
Anwar, Muhuddin Rajin, Livinus Emebiri, Ryan H. L. Ip, et al.. (2024). Least absolute shrinkage and selection operator regression used to select important features when predicting wheat yield from various genotype groups. The Journal of Agricultural Science. 162(3). 245–259. 1 indexed citations
7.
Cheung, Eric C.K., et al.. (2024). Cointegration Analysis of Crop Yields and Extreme Weather Factors Using Actuaries Climate Index with Application of Bonus–Malus System. North American Actuarial Journal. 29(4). 791–809. 1 indexed citations
8.
Ip, Ryan H. L., et al.. (2024). Diversity and heterogeneity of smallholder vegetable farming systems and their impact on food security and income in Malawi. Frontiers in Sustainable Food Systems. 8. 1 indexed citations
9.
Nordblom, Thomas L., et al.. (2023). Untangling the complex mix of agronomic and economic uncertainties inherent in decisions on rainfed cotton. Crop and Pasture Science. 74(12). 1223–1237. 1 indexed citations
11.
Rahman, Azizur, et al.. (2023). Modelling COVID-19 pandemic control strategies in metropolitan and rural health districts in New South Wales, Australia. Scientific Reports. 13(1). 10352–10352. 9 indexed citations
12.
Maphosa, Lancelot, et al.. (2022). Impact of Sowing Time and Genotype on Water Use Efficiency of Lentil (Lens culinaris Medick.). Agronomy. 12(7). 1542–1542. 3 indexed citations
13.
Nordblom, Thomas L., et al.. (2021). Drought Shocks and Gearing Impacts on the Profitability of Sheep Farming. Agriculture. 11(4). 366–366. 6 indexed citations
14.
Adnan, Md. Nasim, et al.. (2021). BDF: A new decision forest algorithm. Information Sciences. 569. 687–705. 8 indexed citations
15.
Allan, Julaine, et al.. (2019). Increased demand for amphetamine treatment in rural Australia. Addiction Science & Clinical Practice. 14(1). 13–13. 8 indexed citations
16.
Nordblom, Thomas L., et al.. (2019). Using GrassGro® with @RISK®Merino ewe / first-cross lamb enterprise risk profiles with variable prices and weather. Charles Sturt University Research Output (CRO). 1 indexed citations
17.
Ip, Ryan H. L., et al.. (2017). A class of valid Matérn cross-covariance functions for multivariate spatio-temporal random fields. Statistics & Probability Letters. 130. 115–119. 4 indexed citations
18.
Ip, Ryan H. L., et al.. (2017). ON SOME MATÉRN COVARIANCE FUNCTIONS FOR SPATIO-TEMPORAL RANDOM FIELDS. Statistica Sinica. 6 indexed citations
20.
Ip, Ryan H. L., et al.. (2013). Seemingly unrelated intervention time series models for effectiveness evaluation of large scale environmental remediation. Marine Pollution Bulletin. 74(1). 56–65. 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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