Ari Frank
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Identification and Quantification in Food
- Glycosylation and Glycoproteins Research
Papers in
- Spectroscopy 13
- Advanced Proteomics Techniques and Applications 13
- Mass Spectrometry Techniques and Applications 13
- Analytical Chemistry and Chromatography 1
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- Metabolomics and Mass Spectrometry Studies 5
- Machine Learning in Bioinformatics 3
- Identification and Quantification in Food 3
- Co-authors
- Pavel A. PevznerStephen TannerNuno BandeiraVineet BafnaMarc C. MumbyHongjun ShuEbrahim ZandiRichard Smith
- Journals
- Journal of Proteome Research (7 papers)Analytical Chemistry (3 papers)Nature Methods (1 paper)PROTEOMICS (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Ari Frank
14 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Spectroscopy 1.5k
- Molecular Biology 1.7k
- Microbiology 48
- Pharmacology 85
- Ecology 86
Countries citing papers authored by Ari Frank
This map shows the geographic impact of Ari Frank'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 Ari Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Frank more than expected).
Fields of papers citing papers by Ari Frank
This network shows the impact of papers produced by Ari Frank. 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 Ari Frank. The network helps show where Ari Frank may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ari Frank, 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 | 2013 | 52 | |
| 2 | Predicting execution bottlenecks in map-reduce clusters | 2012 | 37 |
| 3 | 2011 | 77 | |
| 4 | 2009 | 66 | |
| 5 | 2009 | 62 | |
| 6 | 2008 | 57 | |
| 7 | 2007 | 85 | |
| 8 | 2007 | 130 | |
| 9 | 2007 | 197 | |
| 10 | 2006 | 151 | |
| 11 | 2006 | 39 | |
| 12 | 2005 | 464 | |
| 13 | 2005 | 95 | |
| 14 | PepNovo: De Novo Peptide Sequencing via Probabilistic Network Modeling Hit paper breakdown → | 2005 | 508 |
About Ari Frank
Ari Frank is a scholar working on Spectroscopy, Molecular Biology, Information Systems, Computer Networks and Communications and Infectious Diseases, having authored 14 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Machine Learning in Bioinformatics (3 papers), Identification and Quantification in Food (3 papers), IoT and Edge/Fog Computing (1 paper), Distributed and Parallel Computing Systems (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Spectroscopy (1.5k citations), Molecular Biology (1.7k citations), Microbiology (48 citations), Pharmacology (85 citations) and Ecology (86 citations). Ari Frank has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Pavel A. Pevzner, Stephen Tanner, Nuno Bandeira, Vineet Bafna, Marc C. Mumby, Hongjun Shu, Ebrahim Zandi, Richard Smith, Dekel Tsur and Roman A. Zubarev. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Nature Methods, PROTEOMICS and Proceedings of the National Academy of Sciences.
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.