A. Gordon Dailey

17 papers receiving 464 citations

Peers

A. Gordon Dailey
Comparison fields: 5 of 64
  • Agronomy and Crop Science 231
  • General Agricultural and Biological Sciences 59
  • Soil Science 56
  • Environmental Engineering 67
  • Biomedical Engineering 190
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Jon Finch United Kingdom
Chad Hellwinckel United States
David H. Manowitz United States
Peter E. Schweizer United States
Rafał Pudełko Poland
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Countries citing papers authored by A. Gordon Dailey

Since Specialization
Citations

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

Fields of papers citing papers by A. Gordon Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Gordon Dailey. 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 A. Gordon Dailey. The network helps show where A. Gordon Dailey may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2009127
2 2009101
3 200885
4 201085
5 201728
6 201019
7 201212
8 20118
9 19976
10 20125
11 20063
12 20052
13
Land use and socioeconomic influences on a vulnerable freshwater resource in northern New England
20132
14
Identifying key process parameters in a sink-source interaction model for energy crops
20102
15 20251
16 20001
17
Constructing a nitrogen fertilizer recommendation system around the dynamic nitrogen turnover model, SUNDIAL
19971
18
Efficiency of soil N use by arable crops
20090

About A. Gordon Dailey

A. Gordon Dailey is a scholar working on Soil Science, Agronomy and Crop Science, Environmental Chemistry, Environmental Engineering and Global and Planetary Change, having authored 18 papers that have together received 488 indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (5 papers), Biofuel production and bioconversion (4 papers), Soil and Water Nutrient Dynamics (4 papers), Bioenergy crop production and management (3 papers), Crop Yield and Soil Fertility (2 papers), Forest Biomass Utilization and Management (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Agronomy and Crop Science (231 citations), General Agricultural and Biological Sciences (59 citations), Soil Science (56 citations), Environmental Engineering (67 citations) and Biomedical Engineering (190 citations). A. Gordon Dailey has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Goetz Michael Richter, Andrew Bernard Riche, Andrew P. Whitmore, M. J. Glendining, Angela Karp, Andrew A. Lovett, D. S. Powlson, Gisela Sünnenberg, K. W. T. Goulding and Frits K. van Evert. Their work appears in journals such as Soil Use and Management, Environment Development and Sustainability, Nutrient Cycling in Agroecosystems, Sustainability and European Journal of Soil 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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