Dan S. Long
- Environmental Engineering top 1%
- Soil Geostatistics and Mapping 17
- Ecology top 1%
- Remote Sensing in Agriculture 22
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics 18
- Plant Science top 2%
- Plant Micronutrient Interactions and Effects 11
- Wheat and Barley Genetics and Pathology 10
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses 8
-
- Soil and Water Nutrient Dynamics 13
-
- Crop Yield and Soil Fertility 12
- Co-authors
- Jan U.H. EitelE. Raymond HuntJohn SulikLee A. VierlingCraig S. T. DaughtryR. E. EngelPaul E. GesslerRick L. Lawrence
- Journals
- Agronomy Journal (12 papers)Soil Science Society of America Journal (7 papers)Precision Agriculture (6 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Dan S. Long
83 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 110
- Environmental Engineering 883
- Ecology 1.5k
- Soil Science 306
- Plant Science 1.2k
- Analytical Chemistry 294
Countries citing papers authored by Dan S. Long
This map shows the geographic impact of Dan S. Long'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 Dan S. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan S. Long more than expected).
Fields of papers citing papers by Dan S. Long
This network shows the impact of papers produced by Dan S. Long. 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 Dan S. Long. The network helps show where Dan S. Long may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan S. Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 35 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 1 | |
| 10 | 2019 | 53 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 19 | |
| 14 | 2011 | 350 | |
| 15 | 2011 | 4 | |
| 16 | 2009 | 62 | |
| 17 | 2009 | 39 | |
| 18 | 2006 | 10 | |
| 19 | 2005 | 9 | |
| 20 | 2003 | 3 |
About Dan S. Long
Dan S. Long is a scholar working on Soil Science, Agronomy and Crop Science, Environmental Engineering, Environmental Chemistry and Plant Science, having authored 86 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Soil Carbon and Nitrogen Dynamics (18 papers), Soil Geostatistics and Mapping (17 papers), Soil and Water Nutrient Dynamics (13 papers), Crop Yield and Soil Fertility (12 papers), Plant Micronutrient Interactions and Effects (11 papers), Wheat and Barley Genetics and Pathology (10 papers) and Spectroscopy and Chemometric Analyses (8 papers). The work is most often cited by research in Environmental Engineering (883 citations), Ecology (1.5k citations), Soil Science (306 citations), Plant Science (1.2k citations) and Analytical Chemistry (294 citations). Dan S. Long has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jan U.H. Eitel, E. Raymond Hunt, John Sulik, Lee A. Vierling, Craig S. T. Daughtry, R. E. Engel, Paul E. Gessler, Rick L. Lawrence, G. A. Nielsen and Alistair M. S. Smith. Their work appears in journals such as Agronomy Journal, Soil Science Society of America Journal, Precision Agriculture, International Journal of Remote Sensing and Journal of Soil and Water Conservation.
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.