Anke Schickling

2.6k citations
35 papers · 1.3k · h-index 17

Impact in

    • Plant Water Relations and Carbon Dynamics
    • Atmospheric and Environmental Gas Dynamics
    • Land Use and Ecosystem Services
  • Ecology top 2%
    • Remote Sensing in Agriculture

Papers in

Anke Schickling

35 papers receiving 1.3k citations

Peers

Anke Schickling
Comparison fields: 5 of 61
  • Global and Planetary Change 891
  • Ecology 956
  • Environmental Engineering 290
  • Ecological Modeling 49
  • Plant Science 394
Replace Petya Campbell with:
Petya Campbell United States
Peiqi Yang Netherlands
Javier Pacheco‐Labrador Spain
Gina H. Mohammed Canada
Maria Pilar Cendrero‐Mateo Spain
Alasdair MacArthur United Kingdom
Giulia Tagliabue Italy
Neus Sabater Spain
Marco Celesti Italy
Petr Lukeš Czechia
Anke Schickling relative to Petya Campbell United States Petya Campbell's profile →
Citations per field
00.5×1.5×
Petya Campbell · 1×
Citations per year

Countries citing papers authored by Anke Schickling

Since Specialization
Citations

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

Fields of papers citing papers by Anke Schickling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009253
2 2015148
3 2013115
4 201698
5 201892
6 201486
7 201870
8 201665
9 201645
10 201944
11 201740
12 201535
13 202030
14 201729
15 201829
16 201426
17 201722
18 201115
19 201014
20 202013

About Anke Schickling

Anke Schickling is a scholar working on Global and Planetary Change, Ecology, Plant Science, Environmental Engineering and Artificial Intelligence, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (24 papers), Atmospheric and Environmental Gas Dynamics (15 papers), Plant Water Relations and Carbon Dynamics (15 papers), Plant responses to elevated CO2 (5 papers), Remote-Sensing Image Classification (4 papers), Geochemistry and Geologic Mapping (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Atmospheric Ozone and Climate (3 papers). The work is most often cited by research in Global and Planetary Change (891 citations), Ecology (956 citations), Environmental Engineering (290 citations), Ecological Modeling (49 citations) and Plant Science (394 citations). Anke Schickling has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Uwe Rascher, Sergio Cogliati, Andreas Burkart, Alexander Damm, Micol Rossini, Francisco Pinto, Tommaso Julitta, Roberto Colombo, Michele Meroni and Maria Pilar Cendrero‐Mateo. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, IEEE Sensors Journal, Plant Cell & Environment and Global Change Biology.

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.

Explore authors with similar magnitude of impact