Kayla Stan

446 citations
17 papers · 330 · h-index 9

Impact in

Papers in

    • Conservation, Biodiversity, and Resource Management 4
    • Climate variability and models 4
    • Plant Water Relations and Carbon Dynamics 4
    • Remote Sensing in Agriculture 5

Kayla Stan

15 papers receiving 320 citations

Peers

Kayla Stan
Comparison fields: 5 of 63
  • Global and Planetary Change 228
  • Ecological Modeling 28
  • Nature and Landscape Conservation 68
  • Atmospheric Science 93
  • Ecology 73
Replace Ben Niu with:
Ben Niu China
Hannes De Deurwaerder Belgium
Allyson Williams Australia
Deniz Karagulle United States
Bruno Barçante Ladvocat Cintra Brazil
Jizhou Ren China
Jianyong Ma China
Eric K. Waller United States
Ellen Stuart‐Haëntjens United States
Juan José Rosa-Cánovas Spain
Kayla Stan relative to Ben Niu China Ben Niu's profile →
Citations per field
00.5×8.5×
Ben Niu · 1×
Citations per year

Countries citing papers authored by Kayla Stan

Since Specialization
Citations

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

Fields of papers citing papers by Kayla Stan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015152
2 201971
3 201819
4 202017
5 202114
6 201712
7 201511
8 20239
9 20238
10 20217
11 20225
12 20242
13 20241
14 20251
15 20241
16 20250
17 20250

About Kayla Stan

Kayla Stan is a scholar working on Global and Planetary Change, Ecology, Nature and Landscape Conservation, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 330 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (5 papers), Conservation, Biodiversity, and Resource Management (4 papers), Climate variability and models (4 papers), Plant Water Relations and Carbon Dynamics (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Species Distribution and Climate Change (2 papers), Forest ecology and management (2 papers) and Climate change impacts on agriculture (2 papers). The work is most often cited by research in Global and Planetary Change (228 citations), Ecological Modeling (28 citations), Nature and Landscape Conservation (68 citations), Atmospheric Science (93 citations) and Ecology (73 citations). Kayla Stan has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Arturo Sánchez‐Azofeifa, Imán Rousta, Harald Kunstmann, Azizi Ghasem, Mohammad M. Sohrabi, C. A. Babu, Patrick Laux, A A Sabziparvar, Peyman Zawar‐Reza and Mohsen Soltani. Their work appears in journals such as Forests, Earth System Dynamics, Nature Communications, Land Use Policy and Environmental Research Letters.

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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