Linda See

19.2k citations
259 papers · 10.9k indexed · 5 hit papers · h-index 57
Topics
Geographic Information Systems Studies (63 papers)Land Use and Ecosystem Services (62 papers)Remote Sensing in Agriculture (38 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Linda See

252 papers receiving 10.5k citations

Hit Papers

Contribution of citizen science towards international bio...201520262018202220162015201620172020100200300400500

Peers

Linda See
Comparison fields: 5 of 173
  • Global and Planetary Change 4.8k
  • Environmental Engineering 3.7k
  • Ecology 2.5k
  • Water Science and Technology 1.7k
  • Atmospheric Science 1.4k
Replace Edzer Pebesma with:
Edzer Pebesma Germany
Steffen Fritz Austria
A‐Xing Zhu China
James Wickham United States
G.B.M. Heuvelink Netherlands
Alfred Stein Netherlands
Michael Obersteiner Austria
Thomas Blaschke Austria
P.A. Burrough Netherlands
Stefan Dech Germany
Linda See relative to Edzer Pebesma Germany Edzer Pebesma's profile →
Citations per field
00.5×1.5×
Edzer Pebesma · 1×
Citations per year

Countries citing papers authored by Linda See

Since Specialization
Citations

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

Fields of papers citing papers by Linda See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda See

This figure shows the co-authorship network connecting the top 25 collaborators of Linda See. A scholar is included among the top collaborators of Linda See 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 Linda See. Linda See is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 2
4 1
5 3
6 7
7 7
8 20
9 19
10 223
11 20
12 2
13 82
14 130
15
Assessing the quality of crowdsourced in-situ land-use and land cover data from FotoQuest Austria application
1
16 20
17
Enhancing the role of citizen sensors in mapping: COST action TD1202
3
18
Global hybrid forest mask: Synergy of remote sensing, crowd sourcing and statistics
3
19 5
20
The Effects of Climatic Variations on Peat Swamp Forest Condition and Peat Combustibility
11

About Linda See

Linda See is a scholar working on Geography, Planning and Development, Ecological Modeling and Global and Planetary Change, having authored 259 papers that have together received 10.9k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (63 papers), Land Use and Ecosystem Services (62 papers) and Remote Sensing in Agriculture (38 papers). The work is most often cited by research in Environmental Engineering (3.7k citations), Ecological Modeling (1.1k citations) and Global and Planetary Change (4.8k citations). Linda See has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Steffen Fritz, Robert J. Abrahart, Christian W. Dawson, Ian McCallum, Demetris Demetriou, John Stillwell, Benjamin Bechtel, Christoph Perger, Dmitry Schepaschenko and Michael Obersteiner. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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