Brian D. Luck

948 citations
34 papers · 736 · h-index 10

Impact in

Papers in

Brian D. Luck

33 papers receiving 699 citations

Peers

Brian D. Luck
Comparison fields: 5 of 93
  • Agronomy and Crop Science 173
  • Animal Science and Zoology 89
  • Plant Science 309
  • Analytical Chemistry 77
  • Ecology 181
Replace Viviane Planchón with:
Viviane Planchón Belgium
R. Lacroix Canada
Weizheng Shen China
António Monteiro Portugal
Abbas Ahmadi Iran
Aldo Calcante Italy
Patrícia Ferreira Ponciano Ferraz Brazil
Luiz Henrique Antunes Rodrigues Brazil
Leonardo Conti Italy
Alexandre Menezes Dias Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Brian D. Luck

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Luck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Luck. 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 Brian D. Luck. The network helps show where Brian D. Luck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020213
2 2018169
3 2019104
4 201045
5 202131
6 201721
7 202013
8 201810
9 201710
10 201910
11 20139
12 20228
13 20167
14 20217
15 20127
16 20247
17 20216
18 20226
19 20086
20 20186

About Brian D. Luck

Brian D. Luck is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Plant Science, Soil Science and Civil and Structural Engineering, having authored 34 papers that have together received 736 indexed citations. Recurring topics across this work include Effects of Environmental Stressors on Livestock (8 papers), Soil Mechanics and Vehicle Dynamics (7 papers), Agricultural Engineering and Mechanization (6 papers), Plant Surface Properties and Treatments (5 papers), Smart Agriculture and AI (5 papers), Crop Yield and Soil Fertility (4 papers), Soil Management and Crop Yield (4 papers) and Weed Control and Herbicide Applications (3 papers). The work is most often cited by research in Agronomy and Crop Science (173 citations), Animal Science and Zoology (89 citations), Plant Science (309 citations), Analytical Chemistry (77 citations) and Ecology (181 citations). Brian D. Luck has collaborated with scholars based in United States and China. Frequent co-authors include Jessica L. Drewry, Luiz Felipe Ferraretto, Randy D. Shaver, Parker J. Williams, Zhou Zhang, Luwei Feng, Yuchi Ma, Qingyun Du, John M. Shutske and David Trechter. Their work appears in journals such as Transactions of the ASABE, Computers and Electronics in Agriculture, Agronomy Journal, Applied Engineering in Agriculture and Journal of Dairy Science.

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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