S. Thomas

6.1k total citations
153 papers, 3.6k citations indexed

About

S. Thomas is a scholar working on Electrical and Electronic Engineering, Soil Science and Environmental Chemistry. According to data from OpenAlex, S. Thomas has authored 153 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 39 papers in Soil Science and 28 papers in Environmental Chemistry. Recurrent topics in S. Thomas's work include Soil Carbon and Nitrogen Dynamics (32 papers), Soil and Water Nutrient Dynamics (28 papers) and Semiconductor materials and devices (23 papers). S. Thomas is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (32 papers), Soil and Water Nutrient Dynamics (28 papers) and Semiconductor materials and devices (23 papers). S. Thomas collaborates with scholars based in United States, New Zealand and United Kingdom. S. Thomas's co-authors include Timothy J. Clough, Fiona Sampson, Steve Goodacre, Mike Beare, Edwin J.R. van Beek, Esther D. Meenken, Jan Lundbom, Alex J. Sutton, Rachel E. Bell and Lina J. Leurs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Applied Physics Letters.

In The Last Decade

S. Thomas

143 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Thomas United States	33	898	828	673	578	530	153	3.6k
Zhian Li China	38	1.6k 1.8×	231 0.3×	190 0.3×	364 0.6×	525 1.0×	169	4.7k
George Wells United States	39	112 0.1×	208 0.3×	345 0.5×	161 0.3×	235 0.4×	121	5.8k
David Helman Israel	26	117 0.1×	84 0.1×	390 0.6×	250 0.4×	20 0.0×	77	2.2k
Tohru Yoneyama Japan	34	322 0.4×	882 1.1×	1.0k 1.5×	75 0.1×	73 0.1×	270	5.0k
John T. Walker United States	41	316 0.4×	174 0.2×	86 0.1×	189 0.3×	477 0.9×	144	5.3k
Roger E. Smith United States	29	967 1.1×	104 0.1×	61 0.1×	112 0.2×	90 0.2×	132	3.2k
Mark E. Hodson United Kingdom	53	1.4k 1.5×	1.5k 1.8×	230 0.3×	115 0.2×	976 1.8×	228	9.7k
Akira Miyata Japan	27	452 0.5×	273 0.3×	211 0.3×	288 0.5×	100 0.2×	143	3.1k
Tom R. Karl Australia	32	55 0.1×	2.0k 2.4×	1.7k 2.5×	1.2k 2.1×	69 0.1×	154	5.1k
Robert M. Goldstein United States	56	71 0.1×	552 0.7×	4.7k 6.9×	97 0.2×	291 0.5×	243	9.3k

Countries citing papers authored by S. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by S. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of S. Thomas. A scholar is included among the top collaborators of S. Thomas 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. Thomas. S. Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lilburne, Linda, Anne-Gäelle Ausseil, Abha Sood, et al.. (2024). Modelling to identify direct risks for New Zealand agriculture due to climate change. Journal of the Royal Society of New Zealand. 55(6). 1683–1700.

Thomas, S., Anne-Gäelle Ausseil, Alexander Herzig, et al.. (2024). Exploring the role of high-value crops to reduce agricultural greenhouse gas emissions in New Zealand. Regional Environmental Change. 24(3).

Greenhalgh, Suzie, et al.. (2021). Raising the voice of science in complex socio-political contexts: an assessment of contested water decisions. Journal of Environmental Policy & Planning. 24(2). 242–260. 4 indexed citations

Deepagoda, T.K.K. Chamindu, Timothy J. Clough, M. C. M. Nasvi, et al.. (2020). Gas‐Diffusivity based characterization of aggregated agricultural soils. Soil Science Society of America Journal. 84(2). 387–398. 13 indexed citations

Vogeler, Iris, S. Thomas, & Tony J. van der Weerden. (2019). Effect of irrigation management on pasture yield and nitrogen losses. Agricultural Water Management. 216. 60–69. 30 indexed citations

Thomas, S., et al.. (2019). Tillage, compaction and wetting effects on NO3, N2O and N2 losses. Soil Research. 57(6). 670–688. 23 indexed citations

Drewry, John J., Stephen McNeill, Sam Carrick, et al.. (2019). Temporal trends in soil physical properties under cropping with intensive till and no‐till management. New Zealand Journal of Agricultural Research. 64(2). 223–244. 14 indexed citations

Almond, Peter C., et al.. (2019). Targeting changes in soil porosity through modification of compost size and application rate. Soil Research. 58(3). 268–276. 9 indexed citations

Teixeira, Edmar, Hamish Brown, Esther D. Meenken, et al.. (2018). Field estimation of water extraction coefficients with APSIM-Slurp for water uptake assessments in perennial forages. Field Crops Research. 222. 26–38. 13 indexed citations

10.

Cichota, Rogerio, et al.. (2016). Effects of irrigation intensity on preferential solute transport in a stony soil. New Zealand Journal of Agricultural Research. 59(2). 141–155. 20 indexed citations

11.

Teixeira, Edmar, Paul Johnstone, E. Chakwizira, et al.. (2016). Sources of variability in the effectiveness of winter cover crops for mitigating N leaching. Agriculture Ecosystems & Environment. 220. 226–235. 56 indexed citations

12.

Teixeira, Edmar, P. D. Johnstone, E. Chakwizira, et al.. (2015). Quantifying key sources of variability in cover crop reduction of N leaching. 1 indexed citations

13.

Harrison-Kirk, T., S. Thomas, Timothy J. Clough, et al.. (2015). Compaction influences N2O and N2 emissions from 15N-labeled synthetic urine in wet soils during successive saturation/drainage cycles. Soil Biology and Biochemistry. 88. 178–188. 37 indexed citations

14.

Cichota, Rogerio, Hamish Brown, Val Snow, et al.. (2010). A nitrogen balance model for environmental accountability in cropping systems. New Zealand Journal of Crop and Horticultural Science. 38(3). 189–207. 7 indexed citations

15.

Yang, Kyounghoon, et al.. (2001). Ring oscillator using an RTD-HBT heterostructure. Journal of the Korean Physical Society. 39(3). 572–575. 4 indexed citations

16.

Kwok, Kai Y., et al.. (2000). Strategies for maintaining the particle size of peptide DNA condensates following freeze-drying. International Journal of Pharmaceutics. 203(1-2). 81–88. 25 indexed citations

17.

Thomas, S., et al.. (1999). Predicting Airspeed and Sideslip Angle using an Artificial Neural Network. 2 indexed citations

18.

Thomas, S., David Whitehead, J.A.S. Adams, et al.. (1996). Seasonal root distribution and soil surface carbon fluxes for one-year-old Pinus radiata trees growing at ambient and elevated carbon dioxide concentration. Tree Physiology. 16(11-12). 1015–1021. 27 indexed citations

19.

Thomas, S., et al.. (1980). Ammonium Nitrogen Accumulation and Leaching from an All Pine Bark Medium1. HortScience. 15(6). 824–825. 11 indexed citations

20.

Thomas, S., et al.. (1970). Relationships between moisture contents at certain moisture suctions and texture as well as carbon content of raw spoil-heap soils in the brown-coal mining area of Niederlausitz.. 14. 507–514. 1 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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