David Doll
Impact in
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Horticultural and Viticultural Research 6
- Plant Physiology and Cultivation Studies 6
- Plant Disease Management Techniques 6
- Cell Biology 13
- Plant Pathogens and Fungal Diseases 13
- Co-authors
- Tiebiao Zhao (8 shared papers)YangQuan Chen (8 shared papers)Brandon Stark (4 shared papers)Mohamed T. Nouri (7 shared papers)Florent P. Trouillas (6 shared papers)Daniel P. Lawrence (3 shared papers)Brent A. Holtz (10 shared papers)Dong Wang (4 shared papers)
- Journals
- Plant Disease (6 papers)Phytopathology (3 papers)Journal of Nematology (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Weed Technology (1 paper)
- Partner nations
- United StatesThailandIreland
In The Last Decade
David Doll
38 papers receiving 559 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 145
- Environmental Engineering 118
- Plant Science 298
- Soil Science 69
- Ecology 161
Countries citing papers authored by David Doll
This map shows the geographic impact of David Doll'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 Doll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Doll more than expected).
Fields of papers citing papers by David Doll
This network shows the impact of papers produced by David Doll. 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 Doll. The network helps show where David Doll may publish in the future.
Co-authors
The 25 scholars most cited alongside David Doll, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2015 | 42 | |
| 3 | 2017 | 41 | |
| 4 | 2020 | 40 | |
| 5 | 2016 | 34 | |
| 6 | 2019 | 33 | |
| 7 | 2019 | 33 | |
| 8 | 2020 | 29 | |
| 9 | 2017 | 27 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 19 | |
| 12 | 2015 | 18 | |
| 13 | 2019 | 18 | |
| 14 | 2013 | 15 | |
| 15 | 2005 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2015 | 8 | |
| 20 | 2006 | 8 |
About David Doll
David Doll is a scholar working on Plant Science, Cell Biology, Global and Planetary Change, Ecology and Environmental Engineering, having authored 40 papers that have together received 585 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (13 papers), Plant Water Relations and Carbon Dynamics (9 papers), Remote Sensing and LiDAR Applications (7 papers), Horticultural and Viticultural Research (6 papers), Plant Physiology and Cultivation Studies (6 papers), Nuts composition and effects (6 papers), Remote Sensing in Agriculture (6 papers) and Plant Disease Management Techniques (6 papers). The work is most often cited by research in Cell Biology (145 citations), Environmental Engineering (118 citations), Plant Science (298 citations), Soil Science (69 citations) and Ecology (161 citations). David Doll has collaborated with scholars based in United States, Thailand and Ireland. Frequent co-authors include Tiebiao Zhao, YangQuan Chen, Brandon Stark, Mohamed T. Nouri, Florent P. Trouillas, Daniel P. Lawrence, Brent A. Holtz, Dong Wang, Chuck Ingels and Leslie A. Holland. Their work appears in journals such as Plant Disease, Phytopathology, Journal of Nematology, Journal of Intelligent & Robotic Systems and Weed Technology.
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.