S. Ursula Salmon

614 total citations
30 papers, 511 citations indexed

About

S. Ursula Salmon is a scholar working on Environmental Chemistry, Environmental Engineering and Geochemistry and Petrology. According to data from OpenAlex, S. Ursula Salmon has authored 30 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Chemistry, 15 papers in Environmental Engineering and 8 papers in Geochemistry and Petrology. Recurrent topics in S. Ursula Salmon's work include Mine drainage and remediation techniques (15 papers), Groundwater flow and contamination studies (14 papers) and Groundwater and Isotope Geochemistry (7 papers). S. Ursula Salmon is often cited by papers focused on Mine drainage and remediation techniques (15 papers), Groundwater flow and contamination studies (14 papers) and Groundwater and Isotope Geochemistry (7 papers). S. Ursula Salmon collaborates with scholars based in Australia, United Kingdom and Sweden. S. Ursula Salmon's co-authors include Matthew R. Hipsey, Maria Malmström, Carolyn Oldham, Gregory N. Ivey, Mikael Malmström, Andrew W. Rate, Henning Holmström, Björn Öhlander, Erik Carlsson and Henning Prommer and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Geochimica et Cosmochimica Acta.

In The Last Decade

S. Ursula Salmon

29 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Ursula Salmon Australia 14 265 139 117 84 68 30 511
Bree Morgan Australia 14 191 0.7× 180 1.3× 166 1.4× 41 0.5× 45 0.7× 24 610
Elke Bozau Germany 14 223 0.8× 84 0.6× 160 1.4× 49 0.6× 73 1.1× 31 432
Laura Galván Spain 13 321 1.2× 94 0.7× 181 1.5× 126 1.5× 67 1.0× 20 561
Glenn A. Ulrich United States 9 376 1.4× 181 1.3× 134 1.1× 49 0.6× 71 1.0× 9 763
Jeff B. Langman United States 11 165 0.6× 121 0.9× 130 1.1× 73 0.9× 44 0.6× 43 349
Markus Maisch Germany 13 148 0.6× 132 0.9× 137 1.2× 62 0.7× 67 1.0× 23 577
P.L. Hageman United States 12 334 1.3× 79 0.6× 136 1.2× 60 0.7× 109 1.6× 44 803
LeeAnn Munk United States 17 273 1.0× 133 1.0× 409 3.5× 120 1.4× 63 0.9× 59 957
Éric Rosa Canada 16 294 1.1× 165 1.2× 307 2.6× 185 2.2× 59 0.9× 43 796
Marco Blöthe United States 10 327 1.2× 280 2.0× 321 2.7× 62 0.7× 202 3.0× 12 870

Countries citing papers authored by S. Ursula Salmon

Since Specialization
Citations

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

Fields of papers citing papers by S. Ursula Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ursula Salmon

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ursula Salmon. A scholar is included among the top collaborators of S. Ursula Salmon 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. Ursula Salmon. S. Ursula Salmon 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.
2.
Salmon, S. Ursula, et al.. (2017). Quantifying Lake Water Quality Evolution: Coupled Geochemistry, Hydrodynamics, and Aquatic Ecology in an Acidic Pit Lake. Environmental Science & Technology. 51(17). 9864–9875. 24 indexed citations
3.
Atteia, Olivier, et al.. (2016). Identification and quantification of redox and pH buffering processes in a heterogeneous, low carbonate aquifer during managed aquifer recharge. Water Resources Research. 52(5). 4003–4025. 34 indexed citations
4.
Post, Vincent, et al.. (2015). PHT3D‐UZF : A Reactive Transport Model for Variably‐Saturated Porous Media. Ground Water. 54(1). 23–34. 10 indexed citations
5.
Salmon, S. Ursula, et al.. (2014). Reactive transport controls on sandy acid sulfate soils and impacts on shallow groundwater quality. Water Resources Research. 50(6). 4924–4952. 8 indexed citations
6.
Reid, Nathan, et al.. (2014). Quantitative Assessment of the Distribution of Dissolved Au, As and Sb in Groundwater Using the Diffusive Gradients in Thin Films Technique. Environmental Science & Technology. 48(20). 12141–12149. 15 indexed citations
7.
Hipsey, Matthew R., et al.. (2014). Sediment diagenesis models: Review of approaches, challenges and opportunities. Environmental Modelling & Software. 61. 297–325. 58 indexed citations
8.
Hipsey, Matthew R., S. Ursula Salmon, & Luke M. Mosley. (2014). A three-dimensional hydro-geochemical model to assess lake acidification risk. Environmental Modelling & Software. 61. 433–457. 16 indexed citations
9.
Salmon, S. Ursula, et al.. (2014). A general reactive transport modeling framework for simulating and interpreting groundwater14C age and δ13C. Water Resources Research. 51(1). 359–376. 13 indexed citations
10.
Rate, Andrew W., et al.. (2012). Development of the Diffusive Gradients in Thin Films Technique for the Measurement of Labile Gold in Natural Waters. Analytical Chemistry. 84(16). 6994–7000. 34 indexed citations
11.
Hipsey, Matthew R., et al.. (2011). Development of a 3-D hydro-geochemical model to assess water quality and acidification risk in the Murray Lower Lakes, South Australia. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
12.
Peiffer, Stefan, et al.. (2009). Does Iron Cycling Trigger Generation of Acidity in Groundwaters of Western Australia?. Environmental Science & Technology. 43(17). 6548–6552. 9 indexed citations
13.
Salmon, S. Ursula, Carolyn Oldham, & Gregory N. Ivey. (2008). Assessing internal and external controls on lake water quality: Limitations on organic carbon‐driven alkalinity generation in acidic pit lakes. Water Resources Research. 44(10). 29 indexed citations
14.
Salmon, S. Ursula. (2003). Geochemical modelling of acid mine drainage in mill tailings : Quantification of kinetic processes from laboratory to field scale. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3 indexed citations
15.
Salmon, S. Ursula & Maria Malmström. (2003). Geochemical processes in mill tailings deposits: modelling of groundwater composition. Applied Geochemistry. 19(1). 1–17. 45 indexed citations
16.
Holmström, Henning, et al.. (2001). Geochemical investigations of sulfide-bearing tailings at Kristineberg, northern Sweden, a few years after remediation. The Science of The Total Environment. 273(1-3). 111–133. 58 indexed citations
17.
Salmon, S. Ursula. (2000). Biogeochemical processes in mill tailings : modelling and assessment of remediation effects. 2 indexed citations
18.
Salmon, S. Ursula, et al.. (1999). Emplacement styles within the Land's End Granite, West Cornwall. Open Research Exeter (University of Exeter). 8 indexed citations
19.
Salmon, S. Ursula. (1998). The plutonic igneous complex at Sorel Point, Jersey, Channel Islands: a high level multi-magma assemblage. Geological Journal. 33(1). 17–35. 3 indexed citations
20.
Salmon, S. Ursula, et al.. (1996). Development of a Groundwater Resource Model for the Yorkshire Chalk. Water and Environment Journal. 10(6). 413–422. 9 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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