S. J. Murray

2.9k total citations · 1 hit paper
24 papers, 2.2k citations indexed

About

S. J. Murray is a scholar working on Materials Chemistry, Global and Planetary Change and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, S. J. Murray has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 10 papers in Global and Planetary Change and 10 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in S. J. Murray's work include Shape Memory Alloy Transformations (12 papers), Magnetic and transport properties of perovskites and related materials (8 papers) and Hydrology and Watershed Management Studies (7 papers). S. J. Murray is often cited by papers focused on Shape Memory Alloy Transformations (12 papers), Magnetic and transport properties of perovskites and related materials (8 papers) and Hydrology and Watershed Management Studies (7 papers). S. J. Murray collaborates with scholars based in United States, United Kingdom and Australia. S. J. Murray's co-authors include Samuel M. Allen, R. C. O’Handley, Miguel A. Marioni, T. A. Lograsso, Sarah Cornell, Andrew Aldersley, Hans T. Nembach, I. Colin Prentice, P. N. Foster and J. W. A. Robinson and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and The Science of The Total Environment.

In The Last Decade

S. J. Murray

24 papers receiving 2.1k citations

Hit Papers

6% magnetic-field-induced strain by twin-boundary motion ... 2000 2026 2008 2017 2000 250 500 750
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. 6% magnetic-field-induced strain by twin-boundary motion in ferromagnetic Ni–Mn–Ga
    2000 960 citations S. J. Murray, Miguel A. Marioni et al. Applied Physics Letters profile →

Peers

S. J. Murray
L. C. Brown Canada
Thomas Maurer France
Jinhua Du China
Shumin Fang China
Hongxi Liu China
Hari Prasad Dasari Saudi Arabia
Haibing Wang China
Daijun Liu China
L. C. Brown Canada
S. J. Murray
Citations per year, relative to S. J. Murray S. J. Murray (= 1×) peers L. C. Brown

Countries citing papers authored by S. J. Murray

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Murray. 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 S. J. Murray. The network helps show where S. J. Murray may publish in the future.

Co-authorship network of co-authors of S. J. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Murray. A scholar is included among the top collaborators of S. J. Murray 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 S. J. Murray. S. J. Murray 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.
Schuster‐Wallace, Corinne J., S. J. Murray, & Edward A. McBean. (2018). Integrating Social Dimensions into Flood Cost Forecasting. Water Resources Management. 32(9). 3175–3187. 10 indexed citations
2.
Murray, S. J.. (2013). Present and future water resources in India: Insights from satellite remote sensing and a dynamic global vegetation model. Journal of Earth System Science. 122(1). 1–13. 10 indexed citations
3.
Ukkola, Anna & S. J. Murray. (2013). Hydrological evaluation of the LPX dynamic global vegetation model for small river catchments in the UK. Hydrological Processes. 28(4). 1939–1950. 3 indexed citations
4.
Murray, S. J., A. D. Smith, & Jeffrey Phillips. (2012). A Modified Flood Severity Assessment for Enhanced Decision Support: Application to the Boscastle Flash Flood of 2004. Weather and Forecasting. 27(5). 1290–1297. 10 indexed citations
5.
Murray, S. J., P. N. Foster, & I. Colin Prentice. (2012). Future global water resources with respect to climate change and water withdrawals as estimated by a dynamic global vegetation model. Journal of Hydrology. 448-449. 14–29. 116 indexed citations
6.
7.
Aldersley, Andrew, S. J. Murray, & Sarah Cornell. (2011). Global and regional analysis of climate and human drivers of wildfire. The Science of The Total Environment. 409(18). 3472–3481. 240 indexed citations
8.
Murray, S. J., P. N. Foster, & I. Colin Prentice. (2011). Evaluation of global continental hydrology as simulated by the Land-surface Processes and eXchanges Dynamic Global Vegetation Model. Hydrology and earth system sciences. 15(1). 91–105. 34 indexed citations
9.
Murray, S. J.. (2008). ChemInform Abstract: Ferromagnetic Shape Memory Alloys, Principles and Applications. ChemInform. 39(38). 2 indexed citations
10.
Murray, S. J., et al.. (2007). Turbogenerator Stator Core Study. 441–446. 6 indexed citations
11.
Ray, Rose M., et al.. (2006). Evaluation of Passenger Vehicle Crashworthiness Using Field Performance Data. 75–83. 1 indexed citations
12.
Murray, S. J., et al.. (2001). Giant magnetic-field-induced strain in Ni–Mn–Ga crystals: experimental results and modeling. Journal of Magnetism and Magnetic Materials. 226-230. 945–947. 85 indexed citations
13.
Murray, S. J., Samuel M. Allen, Robert C. O’Handley, & T. A. Lograsso. (2000). <title>Magnetomechanical performance and mechanical properties of Ni-Mn-Ga ferromagnetic shape memory alloys</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3992. 387–395. 10 indexed citations
14.
Murray, S. J., Miguel A. Marioni, Samuel M. Allen, R. C. O’Handley, & T. A. Lograsso. (2000). 6% magnetic-field-induced strain by twin-boundary motion in ferromagnetic Ni–Mn–Ga. Applied Physics Letters. 77(6). 886–888. 960 indexed citations breakdown →
15.
Murray, S. J., et al.. (2000). Magnetic and mechanical properties of FeNiCoTi magnetic shape memory alloy. Sensors and Actuators A Physical. 81(1-3). 219–223. 23 indexed citations
16.
O’Handley, R. C., S. J. Murray, Miguel A. Marioni, Hans T. Nembach, & Samuel M. Allen. (2000). Phenomenology of giant magnetic-field-induced strain in ferromagnetic shape-memory materials (invited). Journal of Applied Physics. 87(9). 4712–4717. 267 indexed citations
17.
Murray, S. J., et al.. (2000). Large field induced strain in single crystalline Ni–Mn–Ga ferromagnetic shape memory alloy. Journal of Applied Physics. 87(9). 5774–5776. 146 indexed citations
18.
Murray, S. J., et al.. (1999). <title>Magnetic and mechanical properties of FeNiCoTi and NiMnGa magnetic shape memory alloys</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3675. 204–211. 18 indexed citations
19.
Murray, S. J., et al.. (1998). Field-induced strain under load in Ni–Mn–Ga magnetic shape memory materials. Journal of Applied Physics. 83(11). 7297–7299. 84 indexed citations
20.
Murray, S. J., et al.. (1998). Field-Induced Strain Under Load in Ni-Mn-Ga Magnetic Shape Memory Materials. 326–326. 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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