Imtiaz Dharssi

2.0k total citations
23 papers, 650 citations indexed

About

Imtiaz Dharssi is a scholar working on Atmospheric Science, Environmental Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Imtiaz Dharssi has authored 23 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 12 papers in Environmental Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Imtiaz Dharssi's work include Soil Moisture and Remote Sensing (12 papers), Meteorological Phenomena and Simulations (6 papers) and Hydrology and Watershed Management Studies (5 papers). Imtiaz Dharssi is often cited by papers focused on Soil Moisture and Remote Sensing (12 papers), Meteorological Phenomena and Simulations (6 papers) and Hydrology and Watershed Management Studies (5 papers). Imtiaz Dharssi collaborates with scholars based in Australia, United Kingdom and United States. Imtiaz Dharssi's co-authors include P N Butcher, Keir Bovis, C. P. Jones, Bruce Macpherson, Peter Steinle, Paul Fox‐Hughes, Dörte Jakob, Susan Rennie, Hongyan Zhu and Christopher J. White and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Imtiaz Dharssi

22 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imtiaz Dharssi Australia 14 333 315 258 91 84 23 650
Baohong Ding China 12 828 2.5× 385 1.2× 337 1.3× 164 1.8× 76 0.9× 20 1.1k
Atsumu Ohmura Switzerland 8 326 1.0× 292 0.9× 99 0.4× 87 1.0× 13 0.2× 17 699
M. Klein United States 16 712 2.1× 175 0.6× 433 1.7× 41 0.5× 3 0.0× 44 840
Lei Zheng China 14 573 1.7× 100 0.3× 51 0.2× 32 0.4× 17 0.2× 70 723
K. Hayes United States 12 136 0.4× 189 0.6× 67 0.3× 111 1.2× 10 0.1× 23 547
Tsan Mo United States 14 465 1.4× 195 0.6× 300 1.2× 7 0.1× 11 0.1× 34 618
A. Lavagnini Italy 13 407 1.2× 341 1.1× 110 0.4× 18 0.2× 17 0.2× 27 601
Yonghe Liu China 12 169 0.5× 272 0.9× 198 0.8× 63 0.7× 13 0.2× 26 453
M. Rauthe Germany 11 441 1.3× 408 1.3× 61 0.2× 98 1.1× 8 0.1× 17 654
Michael E. Earle Canada 14 642 1.9× 478 1.5× 34 0.1× 33 0.4× 26 0.3× 25 720

Countries citing papers authored by Imtiaz Dharssi

Since Specialization
Citations

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

Fields of papers citing papers by Imtiaz Dharssi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imtiaz Dharssi

This figure shows the co-authorship network connecting the top 25 collaborators of Imtiaz Dharssi. A scholar is included among the top collaborators of Imtiaz Dharssi 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 Imtiaz Dharssi. Imtiaz Dharssi 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.
Su, Chun‐Hsu, Susan Rennie, Emma Howard, et al.. (2025). The Australian regional atmospheric reanalysis system, version 2 – BARRA2. Journal of Southern Hemisphere Earth System Science. 75(3).
2.
Dharssi, Imtiaz, et al.. (2021). Continental-scale prediction of live fuel moisture content using soil moisture information. Agricultural and Forest Meteorology. 307. 108503–108503. 24 indexed citations
3.
Kumar, Sujay V., Thomas Holmes, Niels Andela, et al.. (2020). The 2019–2020 Australian Drought and Bushfires Altered the Partitioning of Hydrological Fluxes. Geophysical Research Letters. 48(1). 36 indexed citations
4.
Su, Chun‐Hsu, Peter Steinle, Dörte Jakob, et al.. (2019). BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia. Geoscientific model development. 12(5). 2049–2068. 110 indexed citations
5.
Zhao, Mei, Huqiang Zhang, & Imtiaz Dharssi. (2019). On the soil moisture memory and influence on coupled seasonal forecasts over Australia. Climate Dynamics. 52(11). 7085–7109. 14 indexed citations
6.
Dharssi, Imtiaz, et al.. (2018). Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management. Agricultural and Forest Meteorology. 264. 27–39. 22 indexed citations
7.
Dharssi, Imtiaz, et al.. (2017). Comparison of soil wetness from multiple models over Australia with observations. Water Resources Research. 53(1). 633–646. 22 indexed citations
8.
Holgate, Chiara, Richard de Jeu, Albert I. J. M. van Dijk, et al.. (2016). Comparison of remotely sensed and modelled soil moisture data sets across Australia. Remote Sensing of Environment. 186. 479–500. 67 indexed citations
10.
Dharssi, Imtiaz, Brett Candy, & Peter Steinle. (2015). Analysis of the linearised observation operator in a soil moisture and temperature analysis scheme. 4 indexed citations
11.
Marthews, Toby R., C. A. Quesada, David Galbraith, et al.. (2014). High-resolution hydraulic parameter maps for surface soils in tropical South America. Geoscientific model development. 7(3). 711–723. 42 indexed citations
12.
Dharssi, Imtiaz, Peter Steinle, & Brett Candy. (2012). Towards a Kalman Filter based land surface data assimilation scheme for ACCESS. 3 indexed citations
13.
Dharssi, Imtiaz, Keir Bovis, Bruce Macpherson, & C. P. Jones. (2011). Operational assimilation of ASCAT surface soil wetness at the Met Office. Hydrology and earth system sciences. 15(8). 2729–2746. 136 indexed citations
14.
Walker, Jeffrey P., et al.. (2011). Towards soil hydraulic parameter retrieval from land surface models using near-surface soil moisture data. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 4 indexed citations
15.
Dharssi, Imtiaz, R. Kershaw, & Wei‐Kuo Tao. (1997). Sensitivity of a simulated tropical squall line to long‐wave radiation. Quarterly Journal of the Royal Meteorological Society. 123(537). 187–206. 11 indexed citations
16.
Dharssi, Imtiaz, Andrew C. Lorenc, & N. B. Ingleby. (1992). Treatment of gross errors using maximum probability theory. Quarterly Journal of the Royal Meteorological Society. 118(507). 1017–1036. 1 indexed citations
17.
Dharssi, Imtiaz, Andrew C. Lorenc, & N. B. Ingleby. (1992). Treatment of Gross Errors Using Maximum Probability Theory. Quarterly Journal of the Royal Meteorological Society. 118(507). 1017–1036. 23 indexed citations
18.
Zianni, Xanthippi, P N Butcher, & Imtiaz Dharssi. (1992). Macroscopic behaviour of longitudinal optical phonons in a AlAs/GaAs/AlAs quantum well. Journal of Physics Condensed Matter. 4(6). L77–L83. 22 indexed citations
19.
Dharssi, Imtiaz, et al.. (1991). Mobility and hall factor calculations for a superlattice. Superlattices and Microstructures. 9(3). 335–339. 3 indexed citations
20.
Dharssi, Imtiaz & P N Butcher. (1990). The effect of phonon confinement on perpendicular electron transport in a GaAs/GaAlAs superlattice. Journal of Physics Condensed Matter. 2(1). 119–125. 32 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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