Roy C. Harrell
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
Papers in
-
- Smart Agriculture and AI 12
-
- Plant tissue culture and regeneration 11
- Co-authors
- David C. Slaughter (5 shared papers)Daniel J. Cantliffe (11 shared papers)Dennis J. Gray (1 shared paper)Michael E. Compton (1 shared paper)Enrique Moltó (2 shared papers)Dennis B. McConnell (2 shared papers)Carl D. Crane (1 shared paper)Eduardo Moltó Pérez (1 shared paper)
- Journals
- Journal of Dynamic Systems Measurement and Control (2 papers)Plant Cell Reports (2 papers)Plant Cell Tissue and Organ Culture (PCTOC) (2 papers)HortScience (1 paper)Robotica (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Roy C. Harrell
25 papers receiving 482 citations
Peers
Comparison fields: 5 of 41
- Plant Science 329
- Horticulture 2
- Molecular Biology 160
- Computer Vision and Pattern Recognition 60
- Biophysics 15
Countries citing papers authored by Roy C. Harrell
This map shows the geographic impact of Roy C. Harrell'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 Roy C. Harrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy C. Harrell more than expected).
Fields of papers citing papers by Roy C. Harrell
This network shows the impact of papers produced by Roy C. Harrell. 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 Roy C. Harrell. The network helps show where Roy C. Harrell may publish in the future.
Co-authors
The 9 scholars most cited alongside Roy C. Harrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 86 | |
| 2 | 1987 | 72 | |
| 3 | 1989 | 66 | |
| 4 | 1990 | 49 | |
| 5 | 1990 | 45 | |
| 6 | 1995 | 44 | |
| 7 | 1987 | 29 | |
| 8 | 1992 | 21 | |
| 9 | 1994 | 20 | |
| 10 | 1995 | 20 | |
| 11 | 1998 | 16 | |
| 12 | 1993 | 13 | |
| 13 | 1998 | 11 | |
| 14 | 1991 | 10 | |
| 15 | 1989 | 9 | |
| 16 | 1991 | 9 | |
| 17 | 1985 | 8 | |
| 18 | 1992 | 7 | |
| 19 | 1993 | 6 | |
| 20 | Real-time intelligent control of a vision-servoed fruit-picking robot | 1989 | 3 |
About Roy C. Harrell
Roy C. Harrell is a scholar working on Plant Science, Molecular Biology, Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering, having authored 25 papers that have together received 552 indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Plant tissue culture and regeneration (11 papers), Agricultural Engineering and Mechanization (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Control Systems and Identification (1 paper), Solar Thermal and Photovoltaic Systems (1 paper), Robotic Mechanisms and Dynamics (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Plant Science (329 citations), Horticulture (2 citations), Molecular Biology (160 citations), Computer Vision and Pattern Recognition (60 citations) and Biophysics (15 citations). Roy C. Harrell has collaborated with scholars based in United States and Spain. Frequent co-authors include David C. Slaughter, Daniel J. Cantliffe, Dennis J. Gray, Michael E. Compton, Enrique Moltó, Dennis B. McConnell, Carl D. Crane, Eduardo Moltó Pérez and John K. Schueller. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, Plant Cell Reports, Plant Cell Tissue and Organ Culture (PCTOC), HortScience and Robotica.
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.