David J. Brown
- Environmental Engineering top 0.5%
- Artificial Intelligence top 1%
- Analytical Chemistry top 0.5%
- Ecology top 5%
- Soil Science top 2%
- Co-authors
- Ross S. BricklemyerMarkus WalshKeith ShepherdM. D. MaysCristine L.S. MorganPerry R. MillerEva M. RzucidloRichard J. Powell
- Topics
- Soil Geostatistics and Mapping (24 papers)Geochemistry and Geologic Mapping (20 papers)Radioactive element chemistry and processing (9 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David J. Brown
92 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Environmental Engineering 1.7k
- Artificial Intelligence 1.1k
- Analytical Chemistry 614
- Ecology 551
- Soil Science 493
Countries citing papers authored by David J. Brown
This map shows the geographic impact of David J. Brown'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 David J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Brown more than expected).
Fields of papers citing papers by David J. Brown
This network shows the impact of papers produced by David J. Brown. 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 David J. Brown. The network helps show where David J. Brown may publish in the future.
Co-authorship network of co-authors of David J. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Brown. A scholar is included among the top collaborators of David J. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Brown. David J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | Soil Science Education in the United States: History and Current Enrollment Trends | 18 |
| 4 | Development and testing of a VisNIR penetrometer for in situ soil characterization | 1 |
| 5 | 62 | |
| 6 | 121 | |
| 7 | 278 | |
| 8 | 59 | |
| 9 | 198 | |
| 10 | 18 | |
| 11 | 20 | |
| 12 | Complex quinuclidines 1 azabicyclo 2.2.2 octanes from sugars synthesis of 1 alpha 3 alpha 4 alpha 5 alpha quinuclidine 3 5 diol from d glucose | 2 |
| 13 | 4 | |
| 14 | 1 | |
| 15 | IMPROVED TECHNIQUES FOR FREEWAY SURVEILLANCE | 10 |
| 16 | 5 | |
| 17 | 22 | |
| 18 | Status of liquid waste leaked from the 241-T-106 tank | 1 |
| 19 | 19 | |
| 20 | 1 |
About David J. Brown
David J. Brown is a scholar working on Environmental Engineering, Inorganic Chemistry and Artificial Intelligence, having authored 95 papers that have together received 3.5k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (24 papers), Geochemistry and Geologic Mapping (20 papers) and Radioactive element chemistry and processing (9 papers). The work is most often cited by research in Environmental Engineering (1.7k citations), Analytical Chemistry (614 citations) and Soil Science (493 citations). David J. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ross S. Bricklemyer, Markus Walsh, Keith Shepherd, M. D. Mays, Cristine L.S. Morgan, Perry R. Miller, Eva M. Rzucidlo, Richard J. Powell, Kathleen A. Martin and E. Raymond Hunt. Their work appears in journals such as Journal of Biological Chemistry, Journal of Applied Physics and Geochimica et Cosmochimica Acta.
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.