Gary T. Roberson
Impact in
- Soil Science top 10%
- Soil Management and Crop Yield
- Agronomy and Crop Science top 10%
- Agronomic Practices and Intercropping Systems
Papers in
-
- Smart Agriculture and AI 6
- Peanut Plant Research Studies 5
-
- Advanced Combustion Engine Technologies 3
- Co-authors
- Robert D. GrissoD. H. VaughanDavid L. JordanJohn J. ClassenWade E. ThomasonMarcus M. AlleyDavid Lee HolshouserRobert M. Pitman
- Journals
- Applied Engineering in Agriculture (3 papers)Journal of Psychiatric Research (1 paper)Agronomy (1 paper)Weed Technology (1 paper)Agronomy Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Gary T. Roberson
30 papers receiving 383 citations
Peers
Comparison fields: 5 of 91
- Soil Science 67
- Agronomy and Crop Science 70
- Plant Science 189
- Civil and Structural Engineering 84
- Environmental Engineering 51
Countries citing papers authored by Gary T. Roberson
This map shows the geographic impact of Gary T. Roberson'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 Gary T. Roberson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary T. Roberson more than expected).
Fields of papers citing papers by Gary T. Roberson
This network shows the impact of papers produced by Gary T. Roberson. 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 Gary T. Roberson. The network helps show where Gary T. Roberson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary T. Roberson, 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 | 2021 | 7 | |
| 2 | 2019 | 3 | |
| 3 | 2018 | 5 | |
| 4 | 2018 | 2 | |
| 5 | 2018 | 4 | |
| 6 | 2016 | 4 | |
| 7 | 2014 | 2 | |
| 8 | Predicting Tractor Diesel Fuel Consumption | 2010 | 31 |
| 9 | “Gear Up and Throttle Down” to Save Fuel | 2009 | 14 |
| 10 | 2008 | 19 | |
| 11 | 2007 | 12 | |
| 12 | 2004 | 11 | |
| 13 | 2003 | 28 | |
| 14 | Farm Power and Machinery Management | 2003 | 111 |
| 15 | 2001 | 30 | |
| 16 | 2000 | 6 | |
| 17 | 1999 | 2 | |
| 18 | Epidemiology of forestry injuries and illnesses. | 1997 | 1 |
| 19 | Epidemiology and prevention of helicopter logging injuries. | 1997 | 2 |
| 20 | 1991 | 3 |
About Gary T. Roberson
Gary T. Roberson is a scholar working on Plant Science, Fluid Flow and Transfer Processes, Agronomy and Crop Science, Soil Science and Analytical Chemistry, having authored 32 papers that have together received 427 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (6 papers), Smart Agriculture and AI (6 papers), Peanut Plant Research Studies (5 papers), Soil Mechanics and Vehicle Dynamics (4 papers), Vehicle emissions and performance (3 papers), Advanced Combustion Engine Technologies (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Agronomic Practices and Intercropping Systems (3 papers). The work is most often cited by research in Soil Science (67 citations), Agronomy and Crop Science (70 citations), Plant Science (189 citations), Civil and Structural Engineering (84 citations) and Environmental Engineering (51 citations). Gary T. Roberson has collaborated with scholars based in United States. Frequent co-authors include Robert D. Grisso, D. H. Vaughan, David L. Jordan, John J. Classen, Wade E. Thomason, Marcus M. Alley, David Lee Holshouser, Robert M. Pitman, John V. Perumpral and Violetta Klimek. Their work appears in journals such as Applied Engineering in Agriculture, Journal of Psychiatric Research, Agronomy, Weed Technology and Agronomy Journal.
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.