Heather E. Golden

71 papers receiving 2.9k citations

Heather E. Golden's Hit Papers

Deep learning for water quality 2024 · 148 citations
1480+1Years since publication4080120

Peers

Heather E. Golden
Comparison fields: 5 of 103
  • Water Science and Technology 1.6k
  • Global and Planetary Change 1.3k
  • Environmental Chemistry 538
  • Environmental Engineering 621
  • Ecology 1.0k
Replace Hengpeng Li with:
Hengpeng Li China
Scott G. Leibowitz United States
Harri Koivusalo Finland
Rongrong Wan China
Qichun Yang United States
L. C. Bowling United States
Lishan Ran China
Hannu Marttila Finland
Theodore A. Endreny United States
Kathleen A. Lohse United States
Heather E. Golden relative to Hengpeng Li China Hengpeng Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heather E. Golden

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Golden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Golden. 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 Heather E. Golden. The network helps show where Heather E. Golden may publish in the future.

Co-authors

The 25 scholars most cited alongside Heather E. Golden, 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 Heather E. Golden Line = papers co-authored together Heather E. Golden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009158
2 2014157
3 2018153
4
Deep learning for water quality
Hit paper breakdown →
2024148
5 2017137
6 2019131
7 2015130
8 2018114
9 2018105
10 201598
11 201797
12 201693
13 201893
14 201892
15 201577
16 201865
17 201963
18 202058
19 202353
20 201750

About Heather E. Golden

Heather E. Golden is a scholar working on Water Science and Technology, Global and Planetary Change, Ecology, Environmental Chemistry and Nature and Landscape Conservation, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (43 papers), Soil and Water Nutrient Dynamics (23 papers), Flood Risk Assessment and Management (22 papers), Coastal wetland ecosystem dynamics (12 papers), Fish Ecology and Management Studies (11 papers), Hydrology and Sediment Transport Processes (9 papers), Peatlands and Wetlands Ecology (8 papers) and Soil erosion and sediment transport (6 papers). The work is most often cited by research in Water Science and Technology (1.6k citations), Global and Planetary Change (1.3k citations), Environmental Chemistry (538 citations), Environmental Engineering (621 citations) and Ecology (1.0k citations). Heather E. Golden has collaborated with scholars based in United States, Ireland and Ghana. Frequent co-authors include Charles R. Lane, Grey R. Evenson, E. D’Amico, Adnan Rajib, Nahal Hoghooghi, Jay R. Christensen, Qiusheng Wu, Daniel L. McLaughlin, Laurie C. Alexander and Scott G. Leibowitz. Their work appears in journals such as JAWRA Journal of the American Water Resources Association, Environmental Science & Technology, Water Resources Research, Environmental Research Letters and Journal of Hydrology.

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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