James E. Hanks

414 citations
24 papers · 361 · h-index 11

Impact in

    • Weed Control and Herbicide Applications
    • Smart Agriculture and AI
    • Soybean genetics and cultivation
    • Soil Management and Crop Yield

Papers in

    • Weed Control and Herbicide Applications 11
    • Smart Agriculture and AI 4
    • Soil Management and Crop Yield 2

James E. Hanks

24 papers receiving 326 citations

Peers

James E. Hanks
Comparison fields: 5 of 38
  • Plant Science 244
  • Soil Science 33
  • Pollution 26
  • Insect Science 22
  • Ecology 45
Replace Peter Kryger Jensen with:
Peter Kryger Jensen Denmark
J.M.G.P. Michielsen Netherlands
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James E. Hanks relative to Peter Kryger Jensen Denmark Peter Kryger Jensen's profile →
Citations per field
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Peter Kryger Jensen · 1×
Citations per year

Countries citing papers authored by James E. Hanks

Since Specialization
Citations

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

Fields of papers citing papers by James E. Hanks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Hanks. 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 James E. Hanks. The network helps show where James E. Hanks may publish in the future.

Co-authors

The 19 scholars most cited alongside James E. Hanks, 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 James E. Hanks Line = papers co-authored together James E. Hanks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200763
2 199537
3 199837
4 200936
5 199318
6
Economic Analysis of Cotton Conservation Tillage Practices in the Mississippi Delta
200718
7 199317
8 199116
9 199316
10 200916
11 200211
12 201011
13 199410
14 200710
15 19929
16 20088
17 19987
18 19976
19 20076
20 19933

About James E. Hanks

James E. Hanks is a scholar working on Plant Science, Soil Science, Ecology, Mechanical Engineering and Computational Mechanics, having authored 24 papers that have together received 361 indexed citations. Recurring topics across this work include Weed Control and Herbicide Applications (11 papers), Agricultural Engineering and Mechanization (7 papers), Remote Sensing in Agriculture (5 papers), Smart Agriculture and AI (4 papers), Fluid Dynamics and Heat Transfer (4 papers), Agricultural economics and policies (2 papers), Soil Management and Crop Yield (2 papers) and GNSS positioning and interference (2 papers). The work is most often cited by research in Plant Science (244 citations), Soil Science (33 citations), Pollution (26 citations), Insect Science (22 citations) and Ecology (45 citations). James E. Hanks has collaborated with scholars based in United States. Frequent co-authors include Chester G. Mcwhorter, Ruixiu Sui, J. Alex Thomasson, Alemu Mengistu, Daniel K. Fisher, Nacer Bellaloui, Gene D. Wills, Steven James Thomson, Clyde Douglas Boyette and G. H. Egley. Their work appears in journals such as Weed Technology, Transactions of the ASABE, Computers and Electronics in Agriculture, ˜The œjournal of cotton science/Journal of cotton science and Soil and Tillage Research.

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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