John Karro
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
Papers in
-
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 8
- Genomics and Chromatin Dynamics 5
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- Chromosomal and Genetic Variations 5
- Co-authors
- Mark Gerstein (4 shared papers)Greg Kochanski (4 shared papers)Daniel Golovin (4 shared papers)Zhaolei Zhang (3 shared papers)D. Sculley (2 shared papers)Subhodeep Moitra (2 shared papers)Deyou Zheng (3 shared papers)Nicholas Carriero (2 shared papers)
- Journals
- Bioinformatics (4 papers)Nucleic Acids Research (2 papers)SIAM Review (1 paper)Molecular Biology and Evolution (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
John Karro
23 papers receiving 808 citations
John Karro's Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 201
- Molecular Biology 434
- Hardware and Architecture 39
- Cancer Research 65
- Plant Science 158
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Google Vizier Hit paper breakdown → | 2017 | 286 |
| 2 | 2006 | 137 | |
| 3 | 2006 | 133 | |
| 4 | 2005 | 61 | |
| 5 | 2008 | 42 | |
| 6 | 2002 | 38 | |
| 7 | 2005 | 37 | |
| 8 | 2007 | 16 | |
| 9 | 2013 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2013 | 9 | |
| 12 | 2010 | 8 | |
| 13 | Bayesian Optimization for a Better Dessert | 2017 | 8 |
| 14 | Gradientless Descent: High-Dimensional Zeroth-Order Optimization | 2020 | 7 |
| 15 | 2009 | 7 | |
| 16 | 2008 | 7 | |
| 17 | 2003 | 6 | |
| 18 | 1998 | 5 | |
| 19 | 2012 | 3 | |
| 20 | Black Box Optimization via a Bayesian-Optimized Genetic Algorithm | 2017 | 2 |
About John Karro
John Karro is a scholar working on Molecular Biology, Plant Science, Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research, having authored 23 papers that have together received 843 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (8 papers), Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (5 papers), VLSI and FPGA Design Techniques (2 papers), Advanced Bandit Algorithms Research (2 papers), Primate Behavior and Ecology (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (201 citations), Molecular Biology (434 citations), Hardware and Architecture (39 citations), Cancer Research (65 citations) and Plant Science (158 citations). John Karro has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mark Gerstein, Greg Kochanski, Daniel Golovin, Zhaolei Zhang, D. Sculley, Subhodeep Moitra, Deyou Zheng, Nicholas Carriero, Paul M. Harrison and Philip Cayting. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, SIAM Review, Molecular Biology and Evolution and Journal of Molecular Biology.
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.