Ryan T. Bailey

4.4k citations
139 papers · 3.2k · h-index 34

Impact in

Papers in

Ryan T. Bailey

131 papers receiving 3.2k citations

Peers

Ryan T. Bailey
Comparison fields: 5 of 97
  • Water Science and Technology 1.8k
  • Geochemistry and Petrology 726
  • Environmental Engineering 1.4k
  • Environmental Chemistry 418
  • Global and Planetary Change 833
Replace Tenalem Ayenew with:
Tenalem Ayenew Ethiopia
Jerker Jarsjö Sweden
Kristine Walraevens Belgium
Ian Jolly Australia
Jianyao Chen China
Edwin H. Sutanudjaja Netherlands
Guoliang Cao China
Inge E. M. de Graaf Netherlands
Jingjie Yu China
Richard G. Niswonger United States
Ryan T. Bailey relative to Tenalem Ayenew Ethiopia Tenalem Ayenew's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryan T. Bailey

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Bailey'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 Ryan T. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Bailey more than expected).

Fields of papers citing papers by Ryan T. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Bailey. 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 Ryan T. Bailey. The network helps show where Ryan T. Bailey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016260
2 2019125
3 201898
4 201978
5 200874
6 200967
7 201663
8 201863
9 201061
10 201461
11 201060
12 202059
13 201757
14 202055
15 201755
16 201253
17 201252
18 201950
19 202147
20 201246

About Ryan T. Bailey

Ryan T. Bailey is a scholar working on Water Science and Technology, Environmental Engineering, Geochemistry and Petrology, Global and Planetary Change and Environmental Chemistry, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (89 papers), Groundwater flow and contamination studies (55 papers), Groundwater and Isotope Geochemistry (39 papers), Flood Risk Assessment and Management (22 papers), Hydrological Forecasting Using AI (17 papers), Geophysics and Gravity Measurements (16 papers), Water resources management and optimization (15 papers) and Soil and Water Nutrient Dynamics (14 papers). The work is most often cited by research in Water Science and Technology (1.8k citations), Geochemistry and Petrology (726 citations), Environmental Engineering (1.4k citations), Environmental Chemistry (418 citations) and Global and Planetary Change (833 citations). Ryan T. Bailey has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Mazdak Arabi, Timothy K. Gates, John W. Jenson, Rosemary M. Records, Tyler C. Wible, Domenico Baù, Katrin Bieger, Seonggyu Park, Jeffrey G. Arnold and Mehdi Ahmadi. Their work appears in journals such as Journal of Hydrology, Environmental Modelling & Software, Hydrological Processes, The Science of The Total Environment and Agricultural Water Management.

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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