Ari Frank

2.7k citations
14 papers · 2.0k indexed · 1 hit paper · h-index 14

Impact in

  • Spectroscopy top 0.5%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Metabolomics and Mass Spectrometry Studies
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • Identification and Quantification in Food
    • Glycosylation and Glycoproteins Research

Papers in

    • Advanced Proteomics Techniques and Applications 13
    • Mass Spectrometry Techniques and Applications 13
    • Analytical Chemistry and Chromatography 1
    • Metabolomics and Mass Spectrometry Studies 5
    • Machine Learning in Bioinformatics 3
    • Identification and Quantification in Food 3

Ari Frank

14 papers receiving 2.0k citations

Hit Papers

PepNovo:  De Novo Peptide Sequencing via Probabilistic Network Modeling 2005 · 508 citations
5082005202620122019100200300400500

Peers

Ari Frank
Comparison fields: 5 of 105
  • Spectroscopy 1.5k
  • Molecular Biology 1.7k
  • Microbiology 48
  • Pharmacology 85
  • Ecology 86
Replace Darren Kessner with:
Darren Kessner United States
Xiaoyu Yang China
Matt Chambers United States
Natalie Tasman United States
Michael Mülleder United Kingdom
Fredrik Levander Sweden
Christine Hoogland Switzerland
Thilo Muth Germany
Andrew Hayes United Kingdom
Brian Pratt United States
Ari Frank relative to Darren Kessner United States Darren Kessner's profile →
Citations per field
00.5×2.7×
Darren Kessner · 1×
Citations per year

Countries citing papers authored by Ari Frank

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ari Frank Line = papers co-authored together Ari Frank links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201352
2
Predicting execution bottlenecks in map-reduce clusters
201237
3 201177
4 200966
5 200962
6 200857
7 200785
8 2007130
9 2007197
10 2006151
11 200639
12 2005464
13 200595
14
PepNovo:  De Novo Peptide Sequencing via Probabilistic Network Modeling
Hit paper breakdown →
2005508

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.

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