Alfred Stein

462 papers receiving 12.5k citations

Alfred Stein's Hit Papers

A generic framework for spatial prediction of soil variables based on regression-kriging 2003 · 851 citations
8510+7+15Years since publication250500750

Peers

Alfred Stein
Comparison fields: 5 of 200
  • Environmental Engineering 4.3k
  • Media Technology 1.9k
  • Global and Planetary Change 3.8k
  • Soil Science 1.4k
  • Ecology 2.9k
Replace Linda See with:
Linda See Austria
Patrick Hostert Germany
Rebecca Moore United States
Stuart Phinn Australia
Stefan Dech Germany
Peter M. Atkinson United Kingdom
Chenghu Zhou China
Le Yu China
Russell G. Congalton United States
M. Hancher United States
Alfred Stein relative to Linda See Austria Linda See's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alfred Stein

Since Specialization
Citations

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

Fields of papers citing papers by Alfred Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alfred Stein, 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 Alfred Stein Line = papers co-authored together Alfred Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 477 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A generic framework for spatial prediction of soil variables based on regression-kriging
Hit paper breakdown →
2003851
2 2012236
3 2011219
4 1989217
5 1999217
6 2009213
7 1998179
8
Interpolation techniques for climate variables
1999178
9 2015168
10 1991163
11 2019155
12 2012153
13 2020146
14 1994144
15 2017140
16 2008134
17 2012129
18 2013128
19 2009128
20 2012123

About Alfred Stein

Alfred Stein is a scholar working on Environmental Engineering, Global and Planetary Change, Ecology, Media Technology and Atmospheric Science, having authored 477 papers that have together received 13.3k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (92 papers), Remote Sensing in Agriculture (86 papers), Remote-Sensing Image Classification (73 papers), Land Use and Ecosystem Services (57 papers), Remote Sensing and LiDAR Applications (45 papers), Geochemistry and Geologic Mapping (31 papers), Spatial and Panel Data Analysis (27 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (25 papers). The work is most often cited by research in Environmental Engineering (4.3k citations), Media Technology (1.9k citations), Global and Planetary Change (3.8k citations), Soil Science (1.4k citations) and Ecology (2.9k citations). Alfred Stein has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include G.B.M. Heuvelink, Tomislav Hengl, W. Bijker, Valentyn Tolpekin, Claudio Persello, Jan Willem van Groenigen, Norman Kerle, Frank Osei, J. Bouma and Mariana Belgiu. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, Spatial Statistics, Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing.

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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