Farron Wallace
Impact in
- Water Science and Technology top 10%
- Water Quality Monitoring Technologies
-
- Fish Ecology and Management Studies
Papers in
-
- Water Quality Monitoring Technologies 18
-
- Image Enhancement Techniques 5
- Advanced Neural Network Applications 5
- Co-authors
- Jenq–Neng Hwang (10 shared papers)Craig S. Rose (6 shared papers)Susan Wallace (4 shared papers)Gaoang Wang (5 shared papers)Matthew D. Campbell (12 shared papers)Simegnew Yihunie Alaba (12 shared papers)Chiranjibi Shah (14 shared papers)John E. Ball (13 shared papers)
- Journals
- Computers & Education (3 papers)Sensors (2 papers)Diabetes Technology & Therapeutics (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Access (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Farron Wallace
32 papers receiving 286 citations
Peers
Comparison fields: 5 of 74
- Water Science and Technology 104
- Nature and Landscape Conservation 52
- Computer Vision and Pattern Recognition 62
- Human-Computer Interaction 11
- Artificial Intelligence 62
Countries citing papers authored by Farron Wallace
This map shows the geographic impact of Farron Wallace'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 Farron Wallace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farron Wallace more than expected).
Fields of papers citing papers by Farron Wallace
This network shows the impact of papers produced by Farron Wallace. 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 Farron Wallace. The network helps show where Farron Wallace may publish in the future.
Co-authors
The 25 scholars most cited alongside Farron Wallace, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2001 | 26 | |
| 3 | 2018 | 24 | |
| 4 | 1991 | 21 | |
| 5 | 2018 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2001 | 16 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2004 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 1991 | 4 | |
| 20 | 2023 | 4 |
About Farron Wallace
Farron Wallace is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Molecular Biology, Nature and Landscape Conservation and Artificial Intelligence, having authored 37 papers that have together received 308 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (18 papers), Identification and Quantification in Food (11 papers), Image Enhancement Techniques (5 papers), Advanced Neural Network Applications (5 papers), Ichthyology and Marine Biology (5 papers), Fish Ecology and Management Studies (4 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Water Science and Technology (104 citations), Nature and Landscape Conservation (52 citations), Computer Vision and Pattern Recognition (62 citations), Human-Computer Interaction (11 citations) and Artificial Intelligence (62 citations). Farron Wallace has collaborated with scholars based in United States and China. Frequent co-authors include Jenq–Neng Hwang, Craig S. Rose, Susan Wallace, Gaoang Wang, Matthew D. Campbell, Simegnew Yihunie Alaba, Chiranjibi Shah, John E. Ball, Doreen Radjenovic and Gerald Knezek. Their work appears in journals such as Computers & Education, Sensors, Diabetes Technology & Therapeutics, IEEE Transactions on Image Processing and IEEE Access.
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.