Ian P. King

1.6k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Ian P. King is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Environmental Chemistry. According to data from OpenAlex, Ian P. King has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 4 papers in Mechanics of Materials and 4 papers in Environmental Chemistry. Recurrent topics in Ian P. King's work include Soil and Water Nutrient Dynamics (4 papers), Structural Analysis and Optimization (3 papers) and Soil and Unsaturated Flow (3 papers). Ian P. King is often cited by papers focused on Soil and Water Nutrient Dynamics (4 papers), Structural Analysis and Optimization (3 papers) and Soil and Unsaturated Flow (3 papers). Ian P. King collaborates with scholars based in United States, United Kingdom and Australia. Ian P. King's co-authors include O. C. Zienkiewicz, S. Valliappan, Edward L. Wilson, Ray W. Clough, Kenneth K. Tanji, Christina Brown, O.C. Zienkiewicz, Kandiah Arulanandan, Jay N. Meegoda and Y.K. Cheung and has published in prestigious journals such as Water Research, International Journal for Numerical Methods in Engineering and Géotechnique.

In The Last Decade

Ian P. King

34 papers receiving 943 citations

Hit Papers

Elasto‐plastic solutions of engineering problems ‘initial... 1969 2026 1988 2007 1969 100 200 300 400
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. Elasto‐plastic solutions of engineering problems ‘initial stress’, finite element approach
    1969 402 citations O. C. Zienkiewicz, Ian P. King et al. profile →

Peers

Ian P. King
Victor N. Kaliakin United States
Pierre Léger Canada
Melvin L. Baron United States
Lei Tang China
Alfredo H‐S. Ang United States
。 Wang China
Ricardo O. Foschi Canada
Wen Zhong China
Naser Khaji Iran
Zhong Qi Yue Hong Kong
Victor N. Kaliakin United States
Ian P. King
Citations per year, relative to Ian P. King Ian P. King (= 1×) peers Victor N. Kaliakin

Countries citing papers authored by Ian P. King

Since Specialization
Citations

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

Fields of papers citing papers by Ian P. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian P. King. 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 Ian P. King. The network helps show where Ian P. King may publish in the future.

Co-authorship network of co-authors of Ian P. King

This figure shows the co-authorship network connecting the top 25 collaborators of Ian P. King. A scholar is included among the top collaborators of Ian P. King 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 Ian P. King. Ian P. King 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.
Hunter, Donald A., Elena Hilario, Charles David, et al.. (2025). Chromosome-level genome assembly and annotation of Petunia hybrida. Scientific Data. 12(1). 1262–1262.
2.
Yang, Caiyun, Duncan Scholefield, Stephen Ashling, et al.. (2025). A simplified low-cost and reliable plant genomic DNA extraction method for PCR-based genotyping and screening. Plant Methods. 22(1). 2–2.
3.
Grewal, Surbhi, Caiyun Yang, Duncan Scholefield, et al.. (2024). Chromosome-scale genome assembly of bread wheat’s wild relative Triticum timopheevii. Scientific Data. 11(1). 420–420. 14 indexed citations
4.
King, Ian P., Simon M. Mitrovic, Katherine A. Dafforn, et al.. (2022). Assessing the validity and sensitivity of microbial processes within a hydrodynamic model. Water Research. 218. 118445–118445. 2 indexed citations
5.
Fellers, John P., Surbhi Grewal, Rachel Rusholme‐Pilcher, et al.. (2022). Whole‐genome sequencing uncovers the structural and transcriptomic landscape of hexaploid wheat/ Ambylopyrum muticum introgression lines. Plant Biotechnology Journal. 21(3). 482–496. 18 indexed citations
6.
King, Ian P., et al.. (2021). Implications of bacterial mineralisation in aquatic ecosystem response models. Water Research. 209. 117888–117888. 8 indexed citations
7.
Glamore, William, Simon M. Mitrovic, Katherine A. Dafforn, et al.. (2019). The Hunter River estuary water quality model. 451–457. 3 indexed citations
8.
Heras, Jose I. de las, Ian P. King, & John Parker. (2001). 5-azacytidine induces chromosomal breakage in the root tips of wheat carrying the cuckoo chromosome 4SL from Aegilops sharonensis. Heredity. 87(4). 474–479. 11 indexed citations
9.
King, Ian P., et al.. (1996). Multi Dimensional Modeling of Water Quality Using the Finite Element Method. Estuarine and Coastal Modeling. 340–354. 2 indexed citations
10.
Orlob, Gerald T., et al.. (1995). Modeling Riverine Transport of a Pesticide Plume. Water resources engineering. 451–455.
11.
King, Ian P., et al.. (1994). Modeling of Deep Water Outfall Plumes in the East Australian Coastal Ocean. Estuarine and Coastal Modeling. 71–85. 2 indexed citations
12.
Ford, R. Glenn, et al.. (1993). San Francisco Bay and Delta Oil Spill Fate Studies Part II: Oil Spill Simulation. Hydraulic Engineering. 641–646. 1 indexed citations
13.
King, Ian P., et al.. (1992). Continuum Model for Flows in Emergent Marsh Vegetation. Estuarine and Coastal Modeling. 268–279. 6 indexed citations
14.
King, Ian P.. (1992). Evaluation of Modelling Parameters for Simulation of Estuarial Systems. Estuarine and Coastal Modeling. 707–719. 3 indexed citations
15.
King, Ian P., et al.. (1990). Multi-Dimensional Modeling of Hydrodynamics and Salinity in San Francisco Bay. Estuarine and Coastal Modeling. 511–521. 3 indexed citations
16.
Smith, Donald J., et al.. (1990). Two-Dimensional Finite Element Simulation of the Flooding Characteristics in Kawainui Marsh, Hawaii. Hydraulic Engineering. 664–669. 5 indexed citations
17.
Baca, R.G., et al.. (1978). Finite element models for simultaneous heat and moisture transport in unsaturated soils. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 12 indexed citations
18.
King, Ian P.. (1970). Discussion of “Efficient Code for Steady-State Flows in Networks”. Journal of the Hydraulics Division. 96(11). 2379–2380. 1 indexed citations
19.
Cheung, Y.K., Ian P. King, & O.C. Zienkiewicz. (1968). SLAB BRIDGES WITH ARBITRARY SHAPE AND SUPPORT CONDITIONS: A GENERAL METHOD OF ANALYSIS BASED ON FINITE ELEMENTS.. Proceedings of the Institution of Civil Engineers. 40(1). 9–36. 25 indexed citations
20.
Zienkiewicz, O. C., et al.. (1968). A numerical method of visco-elastic stress analysis. International Journal of Mechanical Sciences. 10(10). 807–827. 160 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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