Sara Beavis

1.2k citations
58 papers · 841 · h-index 14

Impact in

Papers in

Sara Beavis

47 papers receiving 774 citations

Peers

Sara Beavis
Comparison fields: 5 of 88
  • Water Science and Technology 281
  • Pollution 221
  • Environmental Chemistry 180
  • Soil Science 132
  • Geochemistry and Petrology 59
Replace Martina Baborowski with:
Martina Baborowski Germany
Sidan Lyu China
M. C. Forti Brazil
Yanting Zhang China
Jorge Ramírez‐Hernández Mexico
Duc Anh Trinh Vietnam
Thomas B. Parr United States
Jing Lei China
Olaf Büttner Germany
Sara Beavis relative to Martina Baborowski Germany Martina Baborowski's profile →
Citations per field
00.5×2.8×
Martina Baborowski · 1×
Citations per year

Countries citing papers authored by Sara Beavis

Since Specialization
Citations

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

Fields of papers citing papers by Sara Beavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Beavis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara Beavis Line = papers co-authored together Sara Beavis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015215
2 2002103
3 200892
4 200765
5 199946
6 199938
7 200032
8 201230
9 201527
10 199918
11 201616
12 201516
13 202314
14 201813
15
Complex Adaptive Systems: Constructing Mental Models
200513
16 202311
17 201611
18 20157
19 20206
20 19996

About Sara Beavis

Sara Beavis is a scholar working on Environmental Chemistry, Water Science and Technology, Ecology, Soil Science and Global and Planetary Change, having authored 58 papers that have together received 841 indexed citations. Recurring topics across this work include Mine drainage and remediation techniques (15 papers), Hydrology and Watershed Management Studies (12 papers), Soil erosion and sediment transport (9 papers), Hydrology and Sediment Transport Processes (5 papers), Water resources management and optimization (5 papers), Groundwater and Isotope Geochemistry (4 papers), Mercury impact and mitigation studies (3 papers) and Mining and Resource Management (3 papers). The work is most often cited by research in Water Science and Technology (281 citations), Pollution (221 citations), Environmental Chemistry (180 citations), Soil Science (132 citations) and Geochemistry and Petrology (59 citations). Sara Beavis has collaborated with scholars based in Australia, United States and Fiji. Frequent co-authors include Andrew G. Christy, David J. Ellis, Anthony J. Jakeman, Anupama Kumar, C. L. Hepplewhite, Dirk Kirste, Susan A. Welch, Jun Du, Timothy R. Green and C. R. Dietrich. Their work appears in journals such as Hydrological Processes, Geochimica et Cosmochimica Acta, Environment International, Chemical Geology and Forests.

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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