John C. Risley

999 citations
35 papers · 627 indexed · h-index 13

Impact in

Papers in

John C. Risley

33 papers receiving 544 citations

Peers

John C. Risley
Comparison fields: 5 of 59
  • Water Science and Technology 430
  • Nature and Landscape Conservation 167
  • Global and Planetary Change 240
  • Environmental Engineering 147
  • Ecology 224
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Citations per year

Countries citing papers authored by John C. Risley

Since Specialization
Citations

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

Fields of papers citing papers by John C. Risley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Risley. 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 John C. Risley. The network helps show where John C. Risley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201878
2 200476
3 201063
4 201060
5 201252
6 200849
7 200637
8 201623
9 201319
10 200917
11 200517
12 201116
13 201114
14 201212
15
Numerically Optimized Empirical Modeling of Highly Dynamic, Spatially Expansive, and Behaviorally Heterogeneous Hydrologic Systems – Part 1
200612
16 201411
17 201710
18 19938
19 20127
20 20106

About John C. Risley

John C. Risley is a scholar working on Water Science and Technology, Environmental Engineering, Soil Science, Environmental Chemistry and Nature and Landscape Conservation, having authored 35 papers that have together received 627 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (28 papers), Water Quality and Resources Studies (10 papers), Hydrological Forecasting Using AI (8 papers), Soil erosion and sediment transport (6 papers), Groundwater flow and contamination studies (6 papers), Fish Ecology and Management Studies (6 papers), Soil and Water Nutrient Dynamics (5 papers) and Hydrology and Sediment Transport Processes (5 papers). The work is most often cited by research in Water Science and Technology (430 citations), Nature and Landscape Conservation (167 citations), Global and Planetary Change (240 citations), Environmental Engineering (147 citations) and Ecology (224 citations). John C. Risley has collaborated with scholars based in United States, New Zealand and Algeria. Frequent co-authors include Stewart A. Rounds, Lauren E. Hay, Hamid Moradkhani, Tana L. Haluska, Jim Constantz, Hedeff I. Essaid, Jason B. Dunham, Joseph S. Walder, Roger P. Denlinger and Ryan R. McShane. Their work appears in journals such as Earth Interactions, BioScience, Journal of Hydrology, Journal of Water Resources Planning and Management and JAWRA Journal of the American Water Resources Association.

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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