Fabian Löw

1.9k citations
46 papers · 1.5k indexed · h-index 23
Topics
Remote Sensing in Agriculture (31 papers)Land Use and Ecosystem Services (15 papers)Smart Agriculture and AI (10 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Environmental Management

In The Last Decade

Fabian Löw

46 papers receiving 1.5k citations

Peers

Fabian Löw
Comparison fields: 5 of 103
  • Ecology 897
  • Global and Planetary Change 761
  • Atmospheric Science 274
  • Environmental Engineering 260
  • Media Technology 255
Replace Damien Arvor with:
Damien Arvor France
George Azzari United States
Pardhasaradhi Teluguntla United States
Felix Rembold Italy
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Qiong Hu China
Ieda Del’Arco Sanches Brazil
Bernard Adusei United States
Olena Dubovyk Germany
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Fabian Löw relative to Damien Arvor France Damien Arvor's profile →
Citations per field
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Damien Arvor · 1×
Citations per year

Countries citing papers authored by Fabian Löw

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Löw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Löw

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Löw. A scholar is included among the top collaborators of Fabian Löw 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 Fabian Löw. Fabian Löw 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 2
2 24
3 3
4 32
5 1
6 28
7 63
8 22
9 42
10 47
11 5
12 12
13 32
14 59
15 25
16 80
17
Assessing the potential of Landsat images to detect and map agricultural land abandonment in Kyzyl-Orda (Kazakhstan)
1
18 35
19 13
20 2

About Fabian Löw

Fabian Löw is a scholar working on Ecology, Media Technology and Global and Planetary Change, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (31 papers), Land Use and Ecosystem Services (15 papers) and Smart Agriculture and AI (10 papers). The work is most often cited by research in Global and Planetary Change (761 citations), Ecology (897 citations) and Media Technology (255 citations). Fabian Löw has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Christopher Conrad, Ulrich Michel, Stefan Dech, John P. A. Lamers, Olena Dubovyk, François Waldner, Çhandrashekhar Biradar, Grégory Duveiller, Iskandar Abdullaev and Alexander V. Prishchepov. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Environmental Management.

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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