Alison Appling

3.6k citations
38 papers · 2.1k · 3 hit papers · h-index 21

Impact in

Papers in

Alison Appling

38 papers receiving 2.0k citations

Alison Appling's Hit Papers

Deep learning for water quality 2024 · 148 citations
1480+3+6Years since publication50100150200250

Peers

Alison Appling
Comparison fields: 5 of 87
  • Water Science and Technology 1.0k
  • Environmental Chemistry 625
  • Nature and Landscape Conservation 739
  • Environmental Engineering 632
  • Oceanography 304
Replace Mariusz Ptak with:
Mariusz Ptak Poland
Cláudio Clemente Faria Barbosa Brazil
G. B. Sahoo United States
Senlin Zhu China
Yi Luo China
Jacob A. Zwart United States
Stephen J. Dugdale United Kingdom
Xiankun Yang China
Lijing Wang China
Charles S. Melching United States
Alison Appling relative to Mariusz Ptak Poland Mariusz Ptak's profile →
Citations per field
00.5×1.5×2.2×
Mariusz Ptak · 1×
Citations per year

Countries citing papers authored by Alison Appling

Since Specialization
Citations

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

Fields of papers citing papers by Alison Appling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Process‐Guided Deep Learning Predictions of Lake Water Temperature
Hit paper breakdown →
2019283
2
The metabolic regimes of flowing waters
Hit paper breakdown →
2017275
3 2018167
4
Deep learning for water quality
Hit paper breakdown →
2024148
5 2022130
6 2019114
7 202086
8 201584
9 201881
10 201577
11 201965
12 202162
13 202260
14 201955
15 202154
16 201445
17 202240
18 201531
19 201428
20 202325

About Alison Appling

Alison Appling is a scholar working on Water Science and Technology, Environmental Engineering, Nature and Landscape Conservation, Environmental Chemistry and Global and Planetary Change, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (26 papers), Hydrological Forecasting Using AI (21 papers), Fish Ecology and Management Studies (13 papers), Soil and Water Nutrient Dynamics (10 papers), Flood Risk Assessment and Management (8 papers), Marine and coastal ecosystems (5 papers), Water Quality Monitoring Technologies (4 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). The work is most often cited by research in Water Science and Technology (1.0k citations), Environmental Chemistry (625 citations), Nature and Landscape Conservation (739 citations), Environmental Engineering (632 citations) and Oceanography (304 citations). Alison Appling has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Jordan S. Read, Robert O. Hall, Samantha K. Oliver, Charles B. Yackulic, Maite Arroita, Emily S. Bernhardt, James B. Heffernan, William H. McDowell, Xiaowei Jia and Vipin Kumar. Their work appears in journals such as Water Resources Research, Limnology and Oceanography, Hydrological Processes, Journal of Geophysical Research Biogeosciences and Water.

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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