Claire E. Imrie

662 citations
14 papers · 538 · h-index 10

Impact in

Papers in

Claire E. Imrie

14 papers receiving 496 citations

Peers

Claire E. Imrie
Comparison fields: 5 of 77
  • Environmental Engineering 391
  • Water Science and Technology 227
  • Global and Planetary Change 206
  • Ocean Engineering 70
  • Environmental Chemistry 36
Replace Seong-Chun Jun with:
Seong-Chun Jun South Korea
Gwang‐Ok Bae South Korea
Mohammad Reza Khaleghi Iran
Jin Lin China
Basant Yadav India
Seyed Arman Hashemi Monfared Iran
Mohamad Javad Alizadeh Iran
Kourosh Mohammadi Iran
Daniel T. Feinstein United States
Maryam Gharekhani Iran
Claire E. Imrie relative to Seong-Chun Jun South Korea Seong-Chun Jun's profile →
Citations per field
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Seong-Chun Jun · 1×
Citations per year

Countries citing papers authored by Claire E. Imrie

Since Specialization
Citations

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

Fields of papers citing papers by Claire E. Imrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Claire E. Imrie, 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 Claire E. Imrie Line = papers co-authored together Claire E. Imrie links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2000277
2 201352
3 200838
4 200138
5 201026
6 201124
7 200819
8 201615
9 201114
10 200713
11 20119
12
River Flow Prediction Using the Cascade-correlation Neural Network Learning Architecture
19996
13 20154
14 20093

About Claire E. Imrie

Claire E. Imrie is a scholar working on Environmental Engineering, Ocean Engineering, Artificial Intelligence, Global and Planetary Change and Mechanics of Materials, having authored 14 papers that have together received 538 indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (4 papers), Coal Properties and Utilization (3 papers), CO2 Sequestration and Geologic Interactions (3 papers), Hydrological Forecasting Using AI (3 papers), Hydrology and Watershed Management Studies (3 papers), Geochemistry and Geologic Mapping (3 papers), Remote-Sensing Image Classification (2 papers) and Hydrocarbon exploration and reservoir analysis (2 papers). The work is most often cited by research in Environmental Engineering (391 citations), Water Science and Technology (227 citations), Global and Planetary Change (206 citations), Ocean Engineering (70 citations) and Environmental Chemistry (36 citations). Claire E. Imrie has collaborated with scholars based in United Kingdom, Norway and Italy. Frequent co-authors include Anna Korre, Şevket Durucan, Dimitrios Lekkas, Matthew Lees, Ji‐Quan Shi, Çağlar Sınayuç, Ola Eiken, Rajesh Govindan, Andrew J. Tatham and I. Thornton. Their work appears in journals such as International journal of greenhouse gas control, Journal of Hydrology, The Science of The Total Environment, Petroleum Geoscience and Journal of Hydroinformatics.

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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