John Karro
Impact in
- Hardware and Architecture top 10%
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
Papers in
-
- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 3
- Gene expression and cancer classification 2
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- Machine Learning and Algorithms 2
- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Mark Gerstein (4 shared papers)Greg Kochanski (4 shared papers)Daniel Golovin (4 shared papers)Subhodeep Moitra (2 shared papers)D. Sculley (2 shared papers)Deyou Zheng (3 shared papers)Zhaolei Zhang (3 shared papers)Nicholas Carriero (2 shared papers)
- Journals
- Bioinformatics (4 papers)Nucleic Acids Research (2 papers)Genome Research (1 paper)SIAM Review (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
John Karro
25 papers receiving 874 citations
John Karro's Hit Papers
Peers
Comparison fields: 5 of 110
- Hardware and Architecture 47
- Artificial Intelligence 219
- Molecular Biology 393
- Cancer Research 58
- Computational Theory and Mathematics 72
Countries citing papers authored by John Karro
This map shows the geographic impact of John Karro'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 John Karro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Karro more than expected).
Fields of papers citing papers by John Karro
This network shows the impact of papers produced by John Karro. 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 John Karro. The network helps show where John Karro may publish in the future.
Co-authors
The 25 scholars most cited alongside John Karro, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Google Vizier Hit paper breakdown → | 2017 | 314 |
| 2 | 2006 | 145 | |
| 3 | 2006 | 145 | |
| 4 | 2005 | 61 | |
| 5 | 2002 | 43 | |
| 6 | 2008 | 43 | |
| 7 | 2005 | 42 | |
| 8 | 2007 | 17 | |
| 9 | 2013 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2013 | 9 | |
| 12 | 2003 | 8 | |
| 13 | Bayesian Optimization for a Better Dessert | 2017 | 8 |
| 14 | 2010 | 8 | |
| 15 | 2008 | 7 | |
| 16 | Gradientless Descent: High-Dimensional Zeroth-Order Optimization | 2020 | 7 |
| 17 | 2009 | 7 | |
| 18 | 1998 | 6 | |
| 19 | 2012 | 3 | |
| 20 | 2001 | 3 |
About John Karro
John Karro is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Computer Networks and Communications and Management Science and Operations Research, having authored 25 papers that have together received 912 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (5 papers), VLSI and FPGA Design Techniques (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (3 papers), Gene expression and cancer classification (2 papers), Machine Learning and Algorithms (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Artificial Intelligence (219 citations), Molecular Biology (393 citations), Cancer Research (58 citations) and Computational Theory and Mathematics (72 citations). John Karro has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Mark Gerstein, Greg Kochanski, Daniel Golovin, Subhodeep Moitra, D. Sculley, Deyou Zheng, Zhaolei Zhang, Nicholas Carriero, Paul M. Harrison and Philip Cayting. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Genome Research, SIAM Review and Molecular Biology and Evolution.
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.