David Lamb

7.7k citations
158 papers · 4.6k · h-index 35

Impact in

  • Ecology top 0.5%
    • Remote Sensing in Agriculture
    • Smart Agriculture and AI
    • Horticultural and Viticultural Research

Papers in

    • Remote Sensing in Agriculture 66
    • Smart Agriculture and AI 33
    • Horticultural and Viticultural Research 10

David Lamb

156 papers receiving 4.3k citations

Peers

David Lamb
Comparison fields: 5 of 123
  • Ecology 2.1k
  • Plant Science 1.9k
  • Environmental Engineering 496
  • Forestry 111
  • Equine 59
Replace Scott Shearer with:
Scott Shearer United States
Francesco Marinello Italy
Paolo Menesatti Italy
Yanbo Huang United States
Svend Christensen Denmark
Victor Alchanatis B Israel
Achim Walter Switzerland
Ian James Yule New Zealand
Federico Pallottino Italy
R.N. Handcock Australia
David Lamb relative to Scott Shearer United States Scott Shearer's profile →
Citations per field
00.5×5×10×14.8×
Scott Shearer · 1×
Citations per year

Countries citing papers authored by David Lamb

Since Specialization
Citations

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

Fields of papers citing papers by David Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001556
2 2007320
3 2002271
4 2008202
5 2008155
6 2002142
7 2018141
8 2010128
9 2003113
10 2016106
11
Precision Viticulture: A new era in vineyard management and wine production
200676
12 201874
13 200773
14 201072
15 201267
16 201866
17 199964
18 201363
19 201463
20 201062

About David Lamb

David Lamb is a scholar working on Ecology, Plant Science, Environmental Engineering, Forestry and Ocean Engineering, having authored 158 papers that have together received 4.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (66 papers), Smart Agriculture and AI (33 papers), Advanced Fiber Optic Sensors (16 papers), Soil Geostatistics and Mapping (12 papers), Horticultural and Viticultural Research (10 papers), Pasture and Agricultural Systems (9 papers), Remote Sensing and LiDAR Applications (8 papers) and Geophysical Methods and Applications (7 papers). The work is most often cited by research in Ecology (2.1k citations), Plant Science (1.9k citations), Environmental Engineering (496 citations), Forestry (111 citations) and Equine (59 citations). David Lamb has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Andrew Hall, John P. Louis, Mark G Trotter, Bruno Holzapfel, Rob Bramley, Derek A. Schneider, Rakhesh Devadas, D. Backhouse, S. Simpfendorfer and Wenjiang Huang. Their work appears in journals such as Remote Sensing, Computers and Electronics in Agriculture, Precision Agriculture, Australian Journal of Grape and Wine Research and Chemical Physics Letters.

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