Steve Marvanek

1.5k total citations
54 papers, 1.1k citations indexed

About

Steve Marvanek is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Steve Marvanek has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Water Science and Technology, 26 papers in Global and Planetary Change and 18 papers in Ecology. Recurrent topics in Steve Marvanek's work include Hydrology and Watershed Management Studies (25 papers), Flood Risk Assessment and Management (18 papers) and Hydrology and Sediment Transport Processes (15 papers). Steve Marvanek is often cited by papers focused on Hydrology and Watershed Management Studies (25 papers), Flood Risk Assessment and Management (18 papers) and Hydrology and Sediment Transport Processes (15 papers). Steve Marvanek collaborates with scholars based in Australia, New Zealand and China. Steve Marvanek's co-authors include Jin Teng, Jai Vaze, Fazlul Karim, Cuan Petheram, Catherine Ticehurst, Francis H. S. Chiew, D. Dutta, Md Masud Hasan, Dewi Kirono and David Obendorf and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Steve Marvanek

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Marvanek Australia 18 568 421 324 148 114 54 1.1k
Andrew Frost Australia 22 822 1.4× 588 1.4× 179 0.6× 235 1.6× 249 2.2× 70 1.5k
Benoît Parmentier United States 17 643 1.1× 278 0.7× 306 0.9× 200 1.4× 204 1.8× 40 1.4k
Junping Yan China 14 711 1.3× 418 1.0× 237 0.7× 108 0.7× 146 1.3× 34 1.0k
Mahendra Singh Nathawat India 21 649 1.1× 255 0.6× 430 1.3× 557 3.8× 292 2.6× 58 1.4k
Yongzhe Chen China 22 839 1.5× 283 0.7× 382 1.2× 220 1.5× 239 2.1× 56 1.6k
Mary Tyree United States 16 1.3k 2.3× 471 1.1× 375 1.2× 138 0.9× 767 6.7× 23 2.1k
LI Chang-an China 21 706 1.2× 344 0.8× 388 1.2× 251 1.7× 507 4.4× 92 1.8k
Klaus Haslinger Austria 16 1.0k 1.8× 456 1.1× 201 0.6× 159 1.1× 550 4.8× 32 1.7k
Alexander M. Tait United States 9 471 0.8× 82 0.2× 417 1.3× 196 1.3× 268 2.4× 25 1.0k
Xianwei Wang China 27 827 1.5× 326 0.8× 417 1.3× 372 2.5× 929 8.1× 94 2.7k

Countries citing papers authored by Steve Marvanek

Since Specialization
Citations

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

Fields of papers citing papers by Steve Marvanek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Marvanek

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Marvanek. A scholar is included among the top collaborators of Steve Marvanek 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 Steve Marvanek. Steve Marvanek 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.
Teng, Jin, Catherine Ticehurst, Steve Marvanek, et al.. (2023). The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps. Scientific Data. 10(1). 652–652. 6 indexed citations
2.
Post, David, Russell S. Crosbie, Neil R. Viney, et al.. (2020). Impacts of coal mining and coal seam gas extraction on groundwater and surface water. Journal of Hydrology. 591. 125281–125281. 23 indexed citations
3.
Hilton, James, Stefania Grimaldi, Raymond C.Z. Cohen, et al.. (2019). River reconstruction using a conformal mapping method. Environmental Modelling & Software. 119. 197–213. 7 indexed citations
4.
Vaze, Jai, Shaun Kim, Steve Marvanek, et al.. (2018). Floodplain Inundation Modelling for the Edward-Wakool Region. CSIRO. 1 indexed citations
5.
Watson, Ian, Bill Wang, Joanne Vanderzalm, et al.. (2018). Chapter 2: Water resource assessment for the Fitzroy catchment. CSIRO. 1 indexed citations
6.
Viney, Neil R., et al.. (2016). Surface water numerical modelling for the Gloucester subregion. Product 2.6.1 for the Gloucester subregion from the Northern Sydney Basin. Lancaster EPrints (Lancaster University). 1 indexed citations
7.
Viney, Neil R., Yongqiang Zhang, Jorge L. Peña‐Arancibia, et al.. (2015). Use of AWRA-L and AWRA-R in the bioregional assessment program. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1163. 1 indexed citations
8.
Teng, Jin, Jai Vaze, D. Dutta, & Steve Marvanek. (2015). Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM. Water Resources Management. 29(8). 2619–2636. 96 indexed citations
9.
Dutta, Dushmanta, Jin Teng, Jai Vaze, et al.. (2013). Storage-based approaches to build floodplain inundation modelling capability in river system models for water resources planning and accounting. Journal of Hydrology. 504. 12–28. 33 indexed citations
10.
Dutta, Dushmanta, Jin Teng, Jai Vaze, et al.. (2013). Building flood inundation modelling capability in river system models for water resources planning and accounting. 1 indexed citations
12.
Karim, Fazlul, Steve Marvanek, Jim Wallace, et al.. (2012). The use of hydrodynamic modelling and remote sensing to assess hydrological connectivity of floodplain wetlands. 1334. 2 indexed citations
13.
Post, David, et al.. (2012). Projected changes in rainfall and runoff for South-Eastern Australia under 1 degreesC of global warming. 587. 3 indexed citations
14.
Karim, Fazlul, et al.. (2011). The use of hydrodynamic modelling and remote sensing to estimate floodplain inundation and flood discharge in a large tropical catchment. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 12 indexed citations
15.
Fitzpatrick, R. W., B. Powell, & Steve Marvanek. (2011). Atlas of Australian Acid Sulfate Soils. CSIRO. 7 indexed citations
16.
Kirby, Mac, Mohammed Mainuddin, Jorge L. Peña‐Arancibia, et al.. (2008). River Water Balance Accounting to Evaluate Model Adequacy and Uncertainty in Climate and Development Scenario Assessment. 1992. 5 indexed citations
17.
Fitzpatrick, R. W., Paul Shand, R. H. Merry, et al.. (2008). Acid sulfate soils in the Coorong, Lake Alexandrina and Lake Albert: properties, distribution, genesis, risks and management of subaqueous, waterlogged and drained soil environments.. Queensland's institutional digital repository (The University of Queensland). 5 indexed citations
18.
Correll, Ray, et al.. (2006). Sampling for detection of branched broomrape.. 618–621. 2 indexed citations
19.
Skjemstad, JO, James A. Taylor, L. J. Janik, & Steve Marvanek. (1998). Soil organic carbon dynamics under long-term sugarcane monoculture. Australian Journal of Soil Research. 37(1). 151–164. 49 indexed citations
20.
Kemper, Catherine M., et al.. (1994). A review of heavy metal and organochlorine levels in marine mammals in Australia. The Science of The Total Environment. 154(2-3). 129–139. 91 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026