Daniel W. Barker

1.8k citations
56 papers · 1.4k · h-index 19

Impact in

Papers in

Daniel W. Barker

55 papers receiving 1.3k citations

Peers

Daniel W. Barker
Comparison fields: 5 of 65
  • Soil Science 722
  • Agronomy and Crop Science 579
  • Environmental Chemistry 334
  • Plant Science 625
  • Environmental Engineering 143
Replace Hugh Riley with:
Hugh Riley Norway
Zhiping Yang China
Stewart B. Wuest United States
Hero T. Gollany United States
Jinshun Bai China
Michel C. Nolin Canada
Reynald Lemke Canada
L. Townley‐Smith Canada
Jac J. Varco United States
D. K. Benbi India
Daniel W. Barker relative to Hugh Riley Norway Hugh Riley's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel W. Barker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2016120
3 2007104
4 201592
5 201589
6 201074
7 200770
8 200566
9 201857
10 201646
11 201846
12 201644
13 200841
14 201039
15 200633
16 201531
17 200626
18 201221
19
Sulfur Fertilization Response in Iowa Corn Production
201120
20 201717

About Daniel W. Barker

Daniel W. Barker is a scholar working on Agronomy and Crop Science, Soil Science, Plant Science, Environmental Chemistry and Ecology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Crop Yield and Soil Fertility (34 papers), Soil Carbon and Nitrogen Dynamics (26 papers), Soil and Water Nutrient Dynamics (14 papers), Plant nutrient uptake and metabolism (14 papers), Agronomic Practices and Intercropping Systems (10 papers), Remote Sensing in Agriculture (7 papers), Soil Geostatistics and Mapping (5 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). The work is most often cited by research in Soil Science (722 citations), Agronomy and Crop Science (579 citations), Environmental Chemistry (334 citations), Plant Science (625 citations) and Environmental Engineering (143 citations). Daniel W. Barker has collaborated with scholars based in United States, Ecuador and Switzerland. Frequent co-authors include John E. Sawyer, Michael J. Castellano, John Lundvall, Krishna P. Woli, José L. Pantoja, Hanna Poffenbarger, Daniel C. Olk, Johan Six, Fernando E. Miguez and Mahdi Al‐Kaisi. Their work appears in journals such as Agronomy Journal, Soil Science Society of America Journal, Frontiers in Plant Science, Journal of Geophysical Research Atmospheres and PLoS ONE.

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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