Scott Tsukuda
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
- Water Science and Technology top 5%
- Water Quality Monitoring Technologies
- Membrane Separation Technologies
Papers in
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- Water Quality Monitoring Technologies 6
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- Aquaculture disease management and microbiota 4
- Invertebrate Immune Response Mechanisms 1
- Co-authors
- Steven T. Summerfelt (4 shared papers)Michael Gearheart (1 shared paper)Mark J. Sharrer (1 shared paper)Keiko Saito (2 shared papers)Laura E. Christianson (2 shared papers)Thomas Waldrop (1 shared paper)John Davidson (1 shared paper)Christopher Good (4 shared papers)
- Journals
- Aquacultural Engineering (7 papers)Sensors (1 paper)Aquaculture (1 paper)Computers and Electronics in Agriculture (1 paper)Journal of Agriculture and Food Research (1 paper)
- Partner nations
- United States
In The Last Decade
Scott Tsukuda
10 papers receiving 398 citations
Peers
Comparison fields: 5 of 74
- Aquatic Science 168
- Water Science and Technology 189
- Pollution 99
- Industrial and Manufacturing Engineering 66
- Process Chemistry and Technology 16
Countries citing papers authored by Scott Tsukuda
This map shows the geographic impact of Scott Tsukuda'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 Scott Tsukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Tsukuda more than expected).
Fields of papers citing papers by Scott Tsukuda
This network shows the impact of papers produced by Scott Tsukuda. 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 Scott Tsukuda. The network helps show where Scott Tsukuda may publish in the future.
Co-authors
The 19 scholars most cited alongside Scott Tsukuda, 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 | 2008 | 129 | |
| 2 | 2004 | 76 | |
| 3 | 2015 | 57 | |
| 4 | 2014 | 55 | |
| 5 | 2023 | 35 | |
| 6 | 2000 | 32 | |
| 7 | 2000 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2004 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 0 | |
| 12 | 2013 | 0 | |
| 13 | 2003 | 0 |
About Scott Tsukuda
Scott Tsukuda is a scholar working on Water Science and Technology, Immunology, Molecular Biology, Aquatic Science and Pollution, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (6 papers), Aquaculture disease management and microbiota (4 papers), Aquaculture Nutrition and Growth (3 papers), Identification and Quantification in Food (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Constructed Wetlands for Wastewater Treatment (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Fish biology, ecology, and behavior (1 paper). The work is most often cited by research in Aquatic Science (168 citations), Water Science and Technology (189 citations), Pollution (99 citations), Industrial and Manufacturing Engineering (66 citations) and Process Chemistry and Technology (16 citations). Scott Tsukuda has collaborated with scholars based in United States. Frequent co-authors include Steven T. Summerfelt, Michael Gearheart, Mark J. Sharrer, Keiko Saito, Laura E. Christianson, Thomas Waldrop, John Davidson, Christopher Good, Rakesh Ranjan and Christine Lepine. Their work appears in journals such as Aquacultural Engineering, Sensors, Aquaculture, Computers and Electronics in Agriculture and Journal of Agriculture and Food Research.
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.