Michael Chow
About
In The Last Decade
Michael Chow
13 papers receiving 439 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 300
- Information Systems 206
- Immunology 106
- Software 65
- Artificial Intelligence 64
Countries citing papers authored by Michael Chow
This map shows the geographic impact of Michael Chow'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 Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Chow more than expected).
Fields of papers citing papers by Michael Chow
This network shows the impact of papers produced by Michael Chow. 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 Chow. The network helps show where Michael Chow may publish in the future.
Co-authorship network of co-authors of Michael Chow
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Chow. A scholar is included among the top collaborators of Michael Chow 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 Chow. Michael Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | FBDetect: Catching Tiny Performance Regressions at Hyperscale through In-Production Monitoring | Yang Wang, Michael Chow et al. | 3 | |
| 2 | DQBarge: improving data-quality tradeoffs in large-scale internet services | Operating Systems Design and Implementation | Michael Chow, Kaushik Veeraraghavan et al. | 7 |
| 3 | Eidetic systems | Operating Systems Design and Implementation | Michael Chow, Jason Flinn et al. | 51 |
| 4 | The mystery machine: end-to-end performance analysis of large-scale internet services | Operating Systems Design and Implementation | Michael Chow, David Meisner et al. | 122 |
| 5 | Enterohepatic bacterial infections dysregulate the FGF15-FGFR4 endocrine axis | BMC Microbiology | Sarah Tremblay, Ellen T. Arena et al. | 9 |
| 6 | X-ray: automating root-cause diagnosis of performance anomalies in production software | Operating Systems Design and Implementation | Mona Attariyan, Michael Chow et al. | 136 |
| 7 | A Middleware for Gossip Protocols | Michael Chow, Robbert van Renesse | 1 | |
| 8 | H2‐M3‐restricted CD8+ T cells augment CD4+ T‐cell responses by promoting DC maturation | European Journal of Immunology | Michael Chow, Hung‐Sia Teh | 4 |
| 9 | RasGRP1 Regulates Antigen-Induced Developmental Programming by Naive CD8 T Cells | The Journal of Immunology | John J. Priatel, Xiaoxi Chen et al. | 16 |
| 10 | TNFR2-Deficient Memory CD8 T Cells Provide Superior Protection against Tumor Cell Growth | The Journal of Immunology | Edward Y. Kim, Soo-Jeet Teh et al. | 36 |
| 11 | Preferential Development of CD4 and CD8 T Regulatory Cells in RasGRP1-Deficient Mice | The Journal of Immunology | Xiaoxi Chen, John J. Priatel et al. | 38 |
| 12 | H2-M3-Restricted T Cells Participate in the Priming of Antigen-Specific CD4+ T Cells | The Journal of Immunology | Michael Chow, Salim Dhanji et al. | 10 |
| 13 | Self-Antigen Maintains the Innate Antibacterial Function of Self-Specific CD8 T Cells In Vivo | The Journal of Immunology | Salim Dhanji, Michael Chow et al. | 15 |
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.