Scott Daeschner
Impact in
- Atmospheric Science top 5%
- Climate change and permafrost
- Cryospheric studies and observations
- Geology and Paleoclimatology Research
- Remote Sensing and Land Use
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
-
- Cryospheric studies and observations 5
- Climate change and permafrost 5
- Geology and Paleoclimatology Research 5
-
- Parasitic Infections and Diagnostics 1
- Co-authors
- Austin Patrick Hope (4 shared papers)Douglas Alan Stow (4 shared papers)Ranga B. Myneni (2 shared papers)Liming Zhou (2 shared papers)David C. Douglas (2 shared papers)Anna Katinka Petersen (1 shared paper)Walter C. Oechel (1 shared paper)Subhash R. Lele (1 shared paper)
- Journals
- International Journal of Remote Sensing (2 papers)Geocarto International (1 paper)Journal of Geophysical Research Atmospheres (1 paper)American Water Works Association (1 paper)Remote Sensing of Environment (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Scott Daeschner
7 papers receiving 885 citations
Peers
Comparison fields: 5 of 68
- Atmospheric Science 500
- Ecological Modeling 79
- Global and Planetary Change 381
- Ecology 393
- Environmental Engineering 140
Countries citing papers authored by Scott Daeschner
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 551 | |
| 2 | 2003 | 243 | |
| 3 | 2000 | 103 | |
| 4 | 2003 | 17 | |
| 5 | 2000 | 11 | |
| 6 | 2001 | 7 | |
| 7 | 2002 | 6 |
About Scott Daeschner
Scott Daeschner is a scholar working on Atmospheric Science, Parasitology, Media Technology, Water Science and Technology and Nutrition and Dietetics, having authored 7 papers that have together received 938 indexed citations. Recurring topics across this work include Cryospheric studies and observations (5 papers), Climate change and permafrost (5 papers), Geology and Paleoclimatology Research (5 papers), Child Nutrition and Water Access (1 paper), Parasitic Infections and Diagnostics (1 paper), Remote-Sensing Image Classification (1 paper), Fecal contamination and water quality (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Atmospheric Science (500 citations), Ecological Modeling (79 citations), Global and Planetary Change (381 citations), Ecology (393 citations) and Environmental Engineering (140 citations). Scott Daeschner has collaborated with scholars based in United States and Canada. Frequent co-authors include Austin Patrick Hope, Douglas Alan Stow, Ranga B. Myneni, Liming Zhou, David C. Douglas, Anna Katinka Petersen, Walter C. Oechel, Subhash R. Lele, Joan B. Rose and David R. Easterling. Their work appears in journals such as International Journal of Remote Sensing, Geocarto International, Journal of Geophysical Research Atmospheres, American Water Works Association and Remote Sensing of Environment.
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.