Daniel Spengler

1.8k citations
41 papers · 1.1k · h-index 22

Impact in

Papers in

    • Remote Sensing in Agriculture 20
    • Remote Sensing and LiDAR Applications 9
    • Soil Geostatistics and Mapping 6
    • Soil Moisture and Remote Sensing 4

Daniel Spengler

40 papers receiving 1.0k citations

Peers

Daniel Spengler
Comparison fields: 5 of 110
  • Environmental Engineering 401
  • Ecology 546
  • Media Technology 110
  • Global and Planetary Change 211
  • Pharmacology 129
Replace Jurandir Zullo with:
Jurandir Zullo Brazil
Chuanrong Li China
Guang Zheng China
Roberto Filgueiras Brazil
Alain A. Viau Canada
José Carlos Neves Epiphânio Brazil
Bahram Daneshfar Canada
J.B. Boisvert Canada
Manuel Sánchez‐Marañón Spain
Chen Shi China
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Citations per field
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Jurandir Zullo · 1×
Citations per year

Countries citing papers authored by Daniel Spengler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Spengler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986159
2 201985
3 201783
4 201874
5 201470
6 202147
7 201541
8 202139
9 201438
10 201934
11 202133
12 201933
13 201533
14 202029
15 201129
16 201528
17 202326
18 201925
19 201225
20 202022

About Daniel Spengler

Daniel Spengler is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Artificial Intelligence and Plant Science, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (20 papers), Land Use and Ecosystem Services (11 papers), Remote Sensing and LiDAR Applications (9 papers), Soil Geostatistics and Mapping (6 papers), Geochemistry and Geologic Mapping (5 papers), Soil Moisture and Remote Sensing (4 papers), Remote-Sensing Image Classification (4 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Environmental Engineering (401 citations), Ecology (546 citations), Media Technology (110 citations), Global and Planetary Change (211 citations) and Pharmacology (129 citations). Daniel Spengler has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Sibylle Itzerott, Cornelia Weltzien, Wilbert E. Fordyce, Jo Ann Brockway, Birgit Kleinschmit, Angela Lausch, Daniel Doktor, Martin Thurner, Karl Segl and Theres Kuester. Their work appears in journals such as Remote Sensing, Precision Agriculture, PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science, Agronomy and International Journal of Digital Earth.

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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