Daniel G. Sorenson

624 citations
8 papers · 454 indexed · 1 hit paper · h-index 6
Topics
Remote Sensing in Agriculture (4 papers)Land Use and Ecosystem Services (4 papers)Rangeland and Wildlife Management (3 papers)
Journals
SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentUSGS professional paper
Partner nations
United States

In The Last Decade

Daniel G. Sorenson

8 papers receiving 444 citations

Hit Papers

Thematic accuracy assessment of the NLCD 2016 land cover ...2021202620222024202150100150

Peers

Daniel G. Sorenson
Comparison fields: 5 of 66
  • Global and Planetary Change 266
  • Ecology 225
  • Environmental Engineering 120
  • Atmospheric Science 75
  • Nature and Landscape Conservation 51
Replace Akash Anand with:
Akash Anand India
Malak Henchiri China
Javier Muro Germany
Zhaoqin Li Canada
Chris Steenmans Denmark
Mu Xia China
Joseph P. Spruce United States
Jean-Bosco Benewinde Zoungrana Burkina Faso
Geir‐Harald Strand Norway
Yaqian He United States
Daniel G. Sorenson relative to Akash Anand India Akash Anand's profile →
Citations per field
00.5×1.5×2.1×
Akash Anand · 1×
Citations per year

Countries citing papers authored by Daniel G. Sorenson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Sorenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Sorenson. 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 Daniel G. Sorenson. The network helps show where Daniel G. Sorenson may publish in the future.

Co-authorship network of co-authors of Daniel G. Sorenson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Sorenson. A scholar is included among the top collaborators of Daniel G. Sorenson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel G. Sorenson. Daniel G. Sorenson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 47
2 10
3
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United Statesbreakdown →
174
4 200
5 9
6 11
7 1
8 2

About Daniel G. Sorenson

Daniel G. Sorenson is a scholar working on Ecology, Ecological Modeling and Global and Planetary Change, having authored 8 papers that have together received 454 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (4 papers), Land Use and Ecosystem Services (4 papers) and Rangeland and Wildlife Management (3 papers). The work is most often cited by research in Global and Planetary Change (266 citations), Ecology (225 citations) and Environmental Engineering (120 citations). Daniel G. Sorenson has collaborated with scholars based in United States. Frequent co-authors include Leila Gass, Jon Dewitz, James Wickham, Stephen V. Stehman, Brian Granneman, Mark A. Drummond, Kristi L. Sayler, Darrell Napton, Roger F. Auch and Tamara S. Wilson. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and USGS professional paper.

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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