Michael Luo

618 total citations
10 papers, 377 citations indexed

About

Michael Luo is a scholar working on Genetics, Small Animals and Control and Systems Engineering. According to data from OpenAlex, Michael Luo has authored 10 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Small Animals and 2 papers in Control and Systems Engineering. Recurrent topics in Michael Luo's work include Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Animal Behavior and Welfare Studies (2 papers). Michael Luo is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Animal Behavior and Welfare Studies (2 papers). Michael Luo collaborates with scholars based in United States, Canada and Australia. Michael Luo's co-authors include P. Boettcher, L.R. Schaeffer, Jack C. M. Dekkers, Ashwin Balakrishna, Brijen Thananjeyan, Ken Goldberg, Krishnan Srinivasan, Joseph E. Gonzalez, Julian Ibarz and Suraj Nair and has published in prestigious journals such as Journal of Dairy Science, IEEE Robotics and Automation Letters and Communication Research and Practice.

In The Last Decade

Michael Luo

9 papers receiving 350 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Luo United States 8 180 103 86 68 56 10 377
Lenka Krpálková Ireland 11 111 0.6× 138 1.3× 26 0.3× 29 0.4× 52 0.9× 27 378
Alfredo Teyseyre Argentina 7 59 0.3× 27 0.3× 68 0.8× 28 0.4× 97 1.7× 20 495
Scott Davidson United States 16 99 0.6× 253 2.5× 100 1.2× 44 0.6× 49 0.9× 73 1.0k
Pyke Tin Japan 14 51 0.3× 31 0.3× 109 1.3× 24 0.4× 122 2.2× 84 582
K. Karunanithi India 11 105 0.6× 103 1.0× 24 0.3× 76 1.1× 25 0.4× 85 450
Håkan Ardö Sweden 11 34 0.2× 14 0.1× 48 0.6× 55 0.8× 99 1.8× 32 417
M. M. Pathan India 8 30 0.2× 83 0.8× 64 0.7× 9 0.1× 33 0.6× 44 494
S. P. Dixit India 18 714 4.0× 280 2.7× 27 0.3× 11 0.2× 8 0.1× 79 1.1k
Mauricio Toro Colombia 10 29 0.2× 22 0.2× 98 1.1× 10 0.1× 68 1.2× 27 388

Countries citing papers authored by Michael Luo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Luo. A scholar is included among the top collaborators of Michael Luo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Luo. Michael Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chen, Zhifeng, Joseph E. Gonzalez, Yanping Huang, et al.. (2024). Stylus: Automatic Adapter Selection for Diffusion Models. 32888–32915.
2.
Yang, Zongheng, et al.. (2022). Balsa: Learning a Query Optimizer Without Expert Demonstrations. Proceedings of the 2022 International Conference on Management of Data. 931–944. 38 indexed citations
3.
Thananjeyan, Brijen, Ashwin Balakrishna, Suraj Nair, et al.. (2021). Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones. IEEE Robotics and Automation Letters. 6(3). 4915–4922. 108 indexed citations
4.
Shao, Paul, Huang Huang, Michael Luo, et al.. (2021). Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants. 7 indexed citations
5.
Hoque, Ryan, Ashwin Balakrishna, Michael Luo, et al.. (2021). LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. 502–509. 19 indexed citations
6.
Apperley, Thomas, et al.. (2016). Things, tags, topics: Thingiverse’s object-centred network. Communication Research and Practice. 2(1). 63–78. 8 indexed citations
7.
Luo, Michael, P. Boettcher, L.R. Schaeffer, & Jack C. M. Dekkers. (2002). Estimation of genetic parameters of calving ease in first and second parities of Canadian Holsteins using Bayesian methods. Livestock Production Science. 74(2). 175–184. 47 indexed citations
8.
Luo, Michael, et al.. (2001). Bayesian Inference for Categorical Traits with an Application to Variance Component Estimation. Journal of Dairy Science. 84(3). 694–704. 76 indexed citations
9.
Luo, Michael, P. Boettcher, Jack C. M. Dekkers, & L.R. Schaeffer. (1999). Bayesian Analysis for Estimation of Genetic Parameters of Calving Ease and Stillbirth for Canadian Holsteins. Journal of Dairy Science. 82(8). 1848.e1–1848.e11. 43 indexed citations
10.
Luo, Michael, G.R. Wiggans, & S.M. Hubbard. (1997). Variance Component Estimation and Multitrait Genetic Evaluation for Type Traits of Dairy Goats. Journal of Dairy Science. 80(3). 594–600. 31 indexed citations

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.

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