Philippe Burger

2.1k citations
12 papers · 1.5k · 1 hit paper · h-index 9

Impact in

Papers in

    • Greenhouse Technology and Climate Control 3
    • Leaf Properties and Growth Measurement 2
    • Smart Agriculture and AI 2
    • Remote Sensing in Agriculture 6

Philippe Burger

10 papers receiving 1.5k citations

Philippe Burger's Hit Papers

An overview of the crop model stics 2002 · 867 citations
8670+8+16Years since publication250500750

Peers

Philippe Burger
Comparison fields: 5 of 76
  • Soil Science 276
  • Environmental Engineering 343
  • Plant Science 874
  • Agronomy and Crop Science 235
  • Ecology 562
Replace Roberto Confalonieri with:
Roberto Confalonieri Italy
Peter Lootens Belgium
David J. Bonfil Israel
Nithya Rajan United States
L. Garcı́a-Torres Spain
Urs Schulthess United States
Kiril Manevski Denmark
Andries Potgieter Australia
Martine Guérif France
Davide Cammarano United States
Philippe Burger relative to Roberto Confalonieri Italy Roberto Confalonieri's profile →
Citations per field
00.5×1.5×1.8×
Roberto Confalonieri · 1×
Citations per year

Countries citing papers authored by Philippe Burger

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Burger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
An overview of the crop model stics
Hit paper breakdown →
2002867
2 2008320
3 201289
4 201780
5 201852
6 201731
7 201928
8 201728
9 201321
10 20178
11 20240
12 20220

About Philippe Burger

Philippe Burger is a scholar working on Plant Science, Ecology, Environmental Engineering, Automotive Engineering and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (6 papers), Greenhouse Technology and Climate Control (3 papers), Remote Sensing and LiDAR Applications (2 papers), Leaf Properties and Growth Measurement (2 papers), Smart Agriculture and AI (2 papers), Crop Yield and Soil Fertility (1 paper), Vehicle emissions and performance (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Soil Science (276 citations), Environmental Engineering (343 citations), Plant Science (874 citations), Agronomy and Crop Science (235 citations) and Ecology (562 citations). Philippe Burger has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Frédéric Baret, Sabrina Labbé, Bruno Roux, Guillaume Jubelin, Camille Lelong, Philippe Debaeke, Bruno Mary, Daniel Zimmer, Florent Maraux and Bernard Séguin. Their work appears in journals such as Frontiers in Plant Science, Plant Methods, Functional Plant Biology, Sensors and Plant Cell & Environment.

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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