Gregory J. Ewing

20 papers receiving 673 citations

Gregory J. Ewing's Hit Papers

A comprehensive review of deep learning applications in hydrology and water resources 2020 · 357 citations
3570+2+4Years since publication100200300

Peers

Gregory J. Ewing
Comparison fields: 5 of 105
  • Environmental Engineering 264
  • Water Science and Technology 236
  • Global and Planetary Change 214
  • Organic Chemistry 129
  • Atmospheric Science 75
Replace Ni Wang with:
Ni Wang China
Hong Wei China
Lu Xu China
Shiyan Zhang China
K.T. Chetty South Africa
Yanto Yanto Indonesia
Howard L. Johnson United States
Stephen D. Richardson United States
Gregory J. Ewing relative to Ni Wang China Ni Wang's profile →
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Countries citing papers authored by Gregory J. Ewing

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Ewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Ewing. 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 Gregory J. Ewing. The network helps show where Gregory J. Ewing may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
A comprehensive review of deep learning applications in hydrology and water resources
Hit paper breakdown →
2020357
2 199799
3 202144
4 202039
5 200528
6 199622
7 199918
8 199917
9 199715
10 200214
11 202311
12 20229
13 19998
14 19965
15 20243
16 19912
17 20212
18
Open-Storm Detroit Dynamics
20191
19 20211
20 20201

About Gregory J. Ewing

Gregory J. Ewing is a scholar working on Artificial Intelligence, Molecular Biology, Global and Planetary Change, Organic Chemistry and Environmental Engineering, having authored 20 papers that have together received 696 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (5 papers), Anomaly Detection Techniques and Applications (4 papers), Hydrological Forecasting Using AI (3 papers), Plant biochemistry and biosynthesis (3 papers), Neurobiology and Insect Physiology Research (3 papers), Click Chemistry and Applications (2 papers), HIV/AIDS drug development and treatment (2 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). The work is most often cited by research in Environmental Engineering (264 citations), Water Science and Technology (236 citations), Global and Planetary Change (214 citations), Organic Chemistry (129 citations) and Atmospheric Science (75 citations). Gregory J. Ewing has collaborated with scholars based in United States and Canada. Frequent co-authors include İbrahim Demir, Muhammed Sit, Yusuf Sermet, Zhongrun Xiang, Bekir Zahit Demiray, Stephanie E. Sen, Morris J. Robins, Steven L. Roach, Ricardo Mantilla and Thomas W. Bruice. Their work appears in journals such as The Journal of Organic Chemistry, Journal of Hydroinformatics, Journal of Agricultural and Food Chemistry, Journal of Medicinal Chemistry and Journal of the American Chemical Society.

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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