Scott Daeschner

1.1k citations
6 papers · 367 · h-index 6

Impact in

    • Land Use and Ecosystem Services
    • Plant Water Relations and Carbon Dynamics
    • Environmental Changes in China
    • Climate change and permafrost
    • Cryospheric studies and observations
    • Remote Sensing and Land Use

Papers in

    • Cryospheric studies and observations 4
    • Climate change and permafrost 4
    • Geology and Paleoclimatology Research 4
    • Remote Sensing and Land Use 1
    • Remote Sensing in Agriculture 1

Scott Daeschner

6 papers receiving 342 citations

Peers

Scott Daeschner
Comparison fields: 5 of 57
  • Global and Planetary Change 190
  • Atmospheric Science 123
  • Ecology 166
  • Ecological Modeling 21
  • Water Science and Technology 61
Replace Wassila M. Thiaw with:
Wassila M. Thiaw United States
Natalie Ceperley Switzerland
Colin F. Jago United Kingdom
D. B. Otis United States
P. K. T. Munishi Tanzania
E. Grover‐Kopec United States
Jana Škvareninová Slovakia
Gonzalo Barcaza Chile
Shane Feirer United States
Anders Chr. Erichsen Denmark
Scott Daeschner relative to Wassila M. Thiaw United States Wassila M. Thiaw's profile →
Citations per field
00.5×3.5×
Wassila M. Thiaw · 1×
Citations per year

Countries citing papers authored by Scott Daeschner

Since Specialization
Citations

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

Fields of papers citing papers by Scott Daeschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Scott Daeschner, 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 Scott Daeschner Line = papers co-authored together Scott Daeschner links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Scott Daeschner

Scott Daeschner is a scholar working on Atmospheric Science, Ecology, Media Technology, Nutrition and Dietetics and Water Science and Technology, having authored 6 papers that have together received 367 indexed citations. Recurring topics across this work include Cryospheric studies and observations (4 papers), Climate change and permafrost (4 papers), Geology and Paleoclimatology Research (4 papers), Remote-Sensing Image Classification (1 paper), Fecal contamination and water quality (1 paper), Child Nutrition and Water Access (1 paper), Remote Sensing and Land Use (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Global and Planetary Change (190 citations), Atmospheric Science (123 citations), Ecology (166 citations), Ecological Modeling (21 citations) and Water Science and Technology (61 citations). Scott Daeschner has collaborated with scholars based in United States and Canada. Frequent co-authors include A. Hope, Douglas A. Stow, David C. Douglas, Ranga B. Myneni, Liming Zhou, Walter C. Oechel, A. K. Petersen, Jonathan A. Patz, Joan B. Rose and Frank C. Curriero. Their work appears in journals such as International Journal of Remote Sensing, Journal of Geophysical Research Atmospheres, American Water Works Association and Geocarto International.

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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