Michael Luo
Impact in
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
- Small Animals top 5%
- Animal Behavior and Welfare Studies
Papers in
- Genetics 4
- Genetic and phenotypic traits in livestock 4
- Genetic Mapping and Diversity in Plants and Animals 3
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- Animal Behavior and Welfare Studies 2
- Co-authors
- P. Boettcher (3 shared papers)L.R. Schaeffer (3 shared papers)Jack C. M. Dekkers (2 shared papers)Suraj Nair (1 shared paper)Krishnan Srinivasan (1 shared paper)Julian Ibarz (1 shared paper)Chelsea Finn (1 shared paper)Joseph E. Gonzalez (2 shared papers)
- Journals
- Journal of Dairy Science (3 papers)IEEE Robotics and Automation Letters (1 paper)Communication Research and Practice (1 paper)Proceedings of the 2022 International Conference on Management of Data (1 paper)Livestock Production Science (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael Luo
9 papers receiving 381 citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 100
- Small Animals 55
- Genetics 182
- Animal Science and Zoology 50
- Equine 5
Countries citing papers authored by Michael Luo
This map shows the geographic impact of Michael Luo'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 Michael Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Luo more than expected).
Fields of papers citing papers by Michael Luo
This network shows the impact of papers produced by Michael Luo. 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 Michael Luo. The network helps show where Michael Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Luo, 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 | 124 | |
| 2 | 2001 | 77 | |
| 3 | 2002 | 51 | |
| 4 | 2022 | 44 | |
| 5 | 1999 | 43 | |
| 6 | 1997 | 32 | |
| 7 | 2021 | 21 | |
| 8 | 2016 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 0 |
About Michael Luo
Michael Luo is a scholar working on Genetics, Small Animals, Control and Systems Engineering, Agronomy and Crop Science and Artificial Intelligence, having authored 10 papers that have together received 408 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Reinforcement Learning in Robotics (2 papers), Animal Behavior and Welfare Studies (2 papers), Robot Manipulation and Learning (2 papers), Reproductive Physiology in Livestock (2 papers), Effects of Environmental Stressors on Livestock (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Agronomy and Crop Science (100 citations), Small Animals (55 citations), Genetics (182 citations), Animal Science and Zoology (50 citations) and Equine (5 citations). Michael Luo has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include P. Boettcher, L.R. Schaeffer, Jack C. M. Dekkers, Suraj Nair, Krishnan Srinivasan, Julian Ibarz, Chelsea Finn, Joseph E. Gonzalez, Minho Hwang and S.M. Hubbard. Their work appears in journals such as Journal of Dairy Science, IEEE Robotics and Automation Letters, Communication Research and Practice, Proceedings of the 2022 International Conference on Management of Data and Livestock Production Science.
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.