Scott Schwartz

23.2k citations
36 papers · 8.4k indexed · 4 hit papers · h-index 25

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
  • Genetics top 1%
    • Genetic diversity and population structure

Papers in

    • RNA and protein synthesis mechanisms 17
    • Genomics and Phylogenetic Studies 15
    • Machine Learning in Bioinformatics 5
    • Genomics and Chromatin Dynamics 4
    • Statistical Methods and Bayesian Inference 2

Scott Schwartz

35 papers receiving 8.2k citations

Hit Papers

A universal SNP and small-indel variant caller using deep neural networks 2018 · 757 citations
757200020262008201710002.0k3.0k4.0k

Peers

Scott Schwartz
Comparison fields: 5 of 183
  • Molecular Biology 5.0k
  • Genetics 1.8k
  • Plant Science 2.2k
  • Ecology 1.1k
  • Endocrinology 181
Replace LaDeana Hillier with:
LaDeana Hillier United States
James Bonfield United Kingdom
Jian Ye United States
Ian Longden United Kingdom
Gary Benson United States
Takashi Gojobori Japan
Andreas Untergasser Germany
Triinu Kõressaar Estonia
Aleksey V. Zimin United States
Martin Shumway United States
Scott Schwartz relative to LaDeana Hillier United States LaDeana Hillier's profile →
Citations per field
00.5×3.5×
LaDeana Hillier · 1×
Citations per year

Countries citing papers authored by Scott Schwartz

Since Specialization
Citations

This map shows the geographic impact of Scott Schwartz'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 Scott Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Schwartz more than expected).

Fields of papers citing papers by Scott Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Schwartz. 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 Scott Schwartz. The network helps show where Scott Schwartz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Scott Schwartz, 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 Scott Schwartz Line = papers co-authored together Scott Schwartz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202030
2 201915
3 201711
4 201641
5 201282
6 201015
7 200464
8 2003183
9 20037
10 200337
11 2003107
12 2003241
13 200260
14
Human–Mouse Alignments with BLASTZ
Hit paper breakdown →
2002930
15 200232
16
A Greedy Algorithm for Aligning DNA Sequences
Hit paper breakdown →
20004106
17 199427
18 199224
19 199129
20 199127

About Scott Schwartz

Scott Schwartz is a scholar working on Molecular Biology, Statistics and Probability, Plant Science, Agronomy and Crop Science and Developmental Neuroscience, having authored 36 papers that have together received 8.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (17 papers), Genomics and Phylogenetic Studies (15 papers), Chromosomal and Genetic Variations (7 papers), Machine Learning in Bioinformatics (5 papers), Genomics and Chromatin Dynamics (4 papers), Bioenergy crop production and management (3 papers), Algorithms and Data Compression (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Molecular Biology (5.0k citations), Genetics (1.8k citations), Plant Science (2.2k citations), Ecology (1.1k citations) and Endocrinology (181 citations). Scott Schwartz has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Webb Miller, Zheng Zhang, Lukas Wagner, Ross C. Hardison, Arian F. A. Smit, David Haussler, W. James Kent, Cathy Riemer, Zheng Zhang and Richard A. Gibbs. Their work appears in journals such as Genome Research, Genomics, Genome biology, Nucleic Acids Research and Statistics in Medicine.

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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