Urs Schulthess

1.7k citations
37 papers · 1.2k indexed · h-index 17
Topics
Remote Sensing in Agriculture (15 papers)Climate change impacts on agriculture (8 papers)Crop Yield and Soil Fertility (8 papers)
Journals
SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentFrontiers in Plant Science
Partner nations
United StatesMexicoChina

In The Last Decade

Urs Schulthess

35 papers receiving 1.1k citations

Peers

Urs Schulthess
Comparison fields: 5 of 108
  • Ecology 541
  • Plant Science 508
  • Global and Planetary Change 253
  • Environmental Engineering 249
  • Soil Science 222
Replace Christopher Seifert with:
Christopher Seifert United States
Kiril Manevski Denmark
Philippe Burger France
Wang Zhou United States
Peter Lootens Belgium
Amy L. Kaleita United States
Ronnie W. Heiniger United States
Zhigang Sun China
David J. Bonfil Israel
L. Garcı́a-Torres Spain
Urs Schulthess relative to Christopher Seifert United States Christopher Seifert's profile →
Citations per field
00.5×2.9×
Christopher Seifert · 1×
Citations per year

Countries citing papers authored by Urs Schulthess

Since Specialization
Citations

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

Fields of papers citing papers by Urs Schulthess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urs Schulthess

This figure shows the co-authorship network connecting the top 25 collaborators of Urs Schulthess. A scholar is included among the top collaborators of Urs Schulthess 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 Urs Schulthess. Urs Schulthess 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 0
2 40
3 9
4 46
5 31
6 27
7 26
8 0
9 48
10 49
11 81
12 13
13 25
14
Comparison of machine learning algorithms Random Forest, Artificial Neural Network and Support Vector Machine to Maximum Likelihood for supervised crop type classification
87
15 9
16 41
17 47
18 5
19 6
20 5

About Urs Schulthess

Urs Schulthess is a scholar working on Agronomy and Crop Science, Soil Science and General Agricultural and Biological Sciences, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Climate change impacts on agriculture (8 papers) and Crop Yield and Soil Fertility (8 papers). The work is most often cited by research in Soil Science (222 citations), Ecology (541 citations) and Environmental Engineering (249 citations). Urs Schulthess has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Zia Ahmed, Lee A. Vierling, Jan U.H. Eitel, M. E. Litvak, Andrew J. McDonald, Daniel Krofcheck, Timothy J. Krupnik, Hartmut Asche, Ingmar Nitze and E. A. Paul. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Frontiers in Plant Science.

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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