David Simcha
Impact in
- Molecular Biology top 10%
- Gene expression and cancer classification
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Health Informatics top 10%
Papers in
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- Gene Regulatory Network Analysis 2
- Genomics and Chromatin Dynamics 2
- Gene expression and cancer classification 1
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- Machine Learning and Data Classification 1
- Speech Recognition and Synthesis 1
- Stochastic Gradient Optimization Techniques 1
- Co-authors
- Donald Geman (3 shared papers)Héctor Corrada Bravo (1 shared paper)Rafael A. Irizarry (1 shared paper)Jeffrey T. Leek (1 shared paper)William Evan Johnson (1 shared paper)Ben Langmead (1 shared paper)Keith Baggerly (1 shared paper)Robert B. Scharpf (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)PLoS ONE (1 paper)Nature Reviews Genetics (1 paper)BMC Systems Biology (1 paper)Annals of Biomedical Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
David Simcha
10 papers receiving 1.7k citations
David Simcha's Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 959
- Health Informatics 26
- Cancer Research 120
- Statistics and Probability 88
- Aging 9
Countries citing papers authored by David Simcha
This map shows the geographic impact of David Simcha'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 David Simcha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Simcha more than expected).
Fields of papers citing papers by David Simcha
This network shows the impact of papers produced by David Simcha. 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 David Simcha. The network helps show where David Simcha may publish in the future.
Co-authors
The 25 scholars most cited alongside David Simcha, 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 | Tackling the widespread and critical impact of batch effects in high-throughput data Hit paper breakdown → | 2010 | 1564 |
| 2 | Accelerating Large-Scale Inference with Anisotropic Vector Quantization | 2020 | 33 |
| 3 | Multiscale Quantization for Fast Similarity Search | 2017 | 32 |
| 4 | 2012 | 22 | |
| 5 | 2011 | 21 | |
| 6 | Fast Classification with Binary Prototypes | 2017 | 8 |
| 7 | 2007 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2013 | 4 | |
| 10 | 2015 | 3 |
About David Simcha
David Simcha is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability and Genetics, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Machine Learning and Data Classification (1 paper), Speech Recognition and Synthesis (1 paper), Gene expression and cancer classification (1 paper), Stochastic Gradient Optimization Techniques (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Molecular Biology (959 citations), Health Informatics (26 citations), Cancer Research (120 citations), Statistics and Probability (88 citations) and Aging (9 citations). David Simcha has collaborated with scholars based in United States. Frequent co-authors include Donald Geman, Héctor Corrada Bravo, Rafael A. Irizarry, Jeffrey T. Leek, William Evan Johnson, Ben Langmead, Keith Baggerly, Robert B. Scharpf, Ruiqi Guo and Sanjiv Kumar. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Nature Reviews Genetics, BMC Systems Biology and Annals of Biomedical Engineering.
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.