Caiti Steele

15 papers receiving 495 citations

Peers

Caiti Steele
Comparison fields: 5 of 60
  • Environmental Engineering 244
  • Ecological Modeling 47
  • Ecology 266
  • Geology 49
  • Global and Planetary Change 163
Replace María Flor Álvarez Taboada with:
María Flor Álvarez Taboada Spain
Paweł Hawryło Poland
I‐Kuai Hung United States
M. Heaphy New Zealand
Sebastian Candiago Italy
R. Denham Australia
Cici Alexander United Kingdom
Weishu Gong United States
Haotian You China
Gang Shao United States
Caiti Steele relative to María Flor Álvarez Taboada Spain María Flor Álvarez Taboada's profile →
Citations per field
00.5×3.2×
María Flor Álvarez Taboada · 1×
Citations per year

Countries citing papers authored by Caiti Steele

Since Specialization
Citations

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

Fields of papers citing papers by Caiti Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006146
2
Using Unmanned Aerial vehicles for Rangelands: Current Applications and Future Potentials
2006104
3 200992
4 201235
5 200829
6 201624
7 201421
8 202119
9 201714
10 201813
11 201512
12 201710
13 20106
14 20242
15 20102

About Caiti Steele

Caiti Steele is a scholar working on Ecology, Global and Planetary Change, Environmental Engineering, Plant Science and Water Science and Technology, having authored 15 papers that have together received 529 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Rangeland and Wildlife Management (4 papers), Remote Sensing and LiDAR Applications (3 papers), Climate change and permafrost (2 papers), Hydrology and Watershed Management Studies (2 papers), Cryospheric studies and observations (2 papers) and Climate change impacts on agriculture (2 papers). The work is most often cited by research in Environmental Engineering (244 citations), Ecological Modeling (47 citations), Ecology (266 citations), Geology (49 citations) and Global and Planetary Change (163 citations). Caiti Steele has collaborated with scholars based in United States, Jordan and Australia. Frequent co-authors include A. Rango, Jeffrey E. Herrick, Thomas J. Schmugge, Brandon T. Bestelmeyer, Andrea S. Laliberte, Michael J. Falkowski, Alistair M. S. Smith, Jeffrey S. Evans, Rolston St. Hilaire and Andrew T. Hudak. Their work appears in journals such as Canadian Journal of Remote Sensing, Climatic Change, International Journal of Remote Sensing, Journal of the American Society for Horticultural Science and Journal of Hydrology Regional Studies.

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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