Steve M. Brown
Impact in
- Agronomy and Crop Science top 5%
- Agronomic Practices and Intercropping Systems
- Crop Yield and Soil Fertility
- Plant Science top 5%
- Weed Control and Herbicide Applications
- Research in Cotton Cultivation
- Legume Nitrogen Fixing Symbiosis
Papers in
-
- Research in Cotton Cultivation 9
- Rice Cultivation and Yield Improvement 1
- Nematode management and characterization studies 1
- Weed Control and Herbicide Applications 1
- Legume Nitrogen Fixing Symbiosis 1
-
- Soil Management and Crop Yield 2
- Soil Carbon and Nitrogen Dynamics 1
- Co-authors
- Craig W. BednarzDavid C. BridgesRobert L. NicholsA. Stanley CulpepperTimothy L. GreyTheodore M. WebsterWayne W. HannaWilliam K. Vencill
- Journals
- Crop Science (3 papers)Field Crops Research (2 papers)Journal of Nematology (1 paper)The journal of cotton science/Journal of cotton science (1 paper)Semigroup Forum (1 paper)
- Partner nations
- United States
In The Last Decade
Steve M. Brown
12 papers receiving 662 citations
Peers
Comparison fields: 5 of 43
- Agronomy and Crop Science 197
- Plant Science 696
- Soil Science 129
- Pollution 151
- Insect Science 37
Countries citing papers authored by Steve M. Brown
This map shows the geographic impact of Steve M. 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 Steve M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve M. Brown more than expected).
Fields of papers citing papers by Steve M. Brown
This network shows the impact of papers produced by Steve M. 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 Steve M. Brown. The network helps show where Steve M. Brown may publish in the future.
Co-authors
The 21 scholars most cited alongside Steve M. Brown, 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 | 2023 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 1 | |
| 5 | 2007 | 32 | |
| 6 | Cotton growth and development | 2007 | 42 |
| 7 | 2006 | 66 | |
| 8 | 2006 | 33 | |
| 9 | 2006 | 352 | |
| 10 | 2002 | 11 | |
| 11 | 2000 | 153 | |
| 12 | 2000 | 22 |
About Steve M. Brown
Steve M. Brown is a scholar working on Plant Science, Soil Science, Agronomy and Crop Science, Management, Monitoring, Policy and Law and Molecular Biology, having authored 12 papers that have together received 727 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (9 papers), Soil Management and Crop Yield (2 papers), Rice Cultivation and Yield Improvement (1 paper), Nematode management and characterization studies (1 paper), Agronomic Practices and Intercropping Systems (1 paper), Weed Control and Herbicide Applications (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper) and Legume Nitrogen Fixing Symbiosis (1 paper). The work is most often cited by research in Agronomy and Crop Science (197 citations), Plant Science (696 citations), Soil Science (129 citations), Pollution (151 citations) and Insect Science (37 citations). Steve M. Brown has collaborated with scholars based in United States. Frequent co-authors include Craig W. Bednarz, David C. Bridges, Robert L. Nichols, A. Stanley Culpepper, Timothy L. Grey, Theodore M. Webster, Wayne W. Hanna, William K. Vencill, Alan C. York and Jeremy M. Kichler. Their work appears in journals such as Crop Science, Field Crops Research, Journal of Nematology, The journal of cotton science/Journal of cotton science and Semigroup Forum.
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.