Hamid Mohamadi

2.0k total citations · 1 hit paper
25 papers, 1.0k citations indexed

About

Hamid Mohamadi is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Hamid Mohamadi has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Artificial Intelligence and 6 papers in Plant Science. Recurrent topics in Hamid Mohamadi's work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (8 papers) and Algorithms and Data Compression (6 papers). Hamid Mohamadi is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (8 papers) and Algorithms and Data Compression (6 papers). Hamid Mohamadi collaborates with scholars based in Canada, Iran and United States. Hamid Mohamadi's co-authors include İnanç Birol, Justin Chu, René L. Warren, Benjamin P. Vandervalk, Shaun D. Jackman, Hamza Khan, Lauren Coombe, Sarah Yeo, S. Austin Hammond and Mohammad Saniee Abadeh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Hamid Mohamadi

23 papers receiving 978 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter

2017 455 citations Shaun D. Jackman, Benjamin P. Vandervalk et al. Genome Research profile →

Peers

Hamid Mohamadi

MB

PS

ECOLO

GENET

AI

Benjamin P. Vandervalk Canada

Leena Salmela Finland

Sanchit Misra United States

Marie-France Sagot France

Elon Portugaly Israel

Gregory Butler Canada

Ilya Shlyakhter United States

Liang Tang China

Marek Kokot Poland

Patrick Flick United States

Benjamin P. Vandervalk Canada

Hamid Mohamadi

717 ×1.1

MB

318 ×1.3

PS

200 ×1.2

ECOLO

199 ×1.3

GENET

123 ×0.8

AI

Citations per year, relative to Hamid Mohamadi Hamid Mohamadi (= 1×) peers Benjamin P. Vandervalk

Countries citing papers authored by Hamid Mohamadi

Since Specialization

Citations

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

Fields of papers citing papers by Hamid Mohamadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Mohamadi

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Mohamadi. A scholar is included among the top collaborators of Hamid Mohamadi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hamid Mohamadi. Hamid Mohamadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wong, Johnathan, et al.. (2022). ntHash2: recursive spaced seed hashing for nucleotide sequences. Bioinformatics. 38(20). 4812–4813. 7 indexed citations

2.

Nip, Ka Ming, Readman Chiu, Chen Yang, et al.. (2020). RNA-Bloom enables reference-free and reference-guided sequence assembly for single-cell transcriptomes. Genome Research. 30(8). 1191–1200. 32 indexed citations

3.

Warren, René L., Lauren Coombe, Hamid Mohamadi, et al.. (2019). ntEdit: scalable genome sequence polishing. Bioinformatics. 35(21). 4430–4432. 55 indexed citations

4.

Jackman, Shaun D., Lauren Coombe, Justin Chu, et al.. (2018). Tigmint: correcting assembly errors using linked reads from large molecules. BMC Bioinformatics. 19(1). 393–393. 73 indexed citations

5.

Jackman, Shaun D., Benjamin P. Vandervalk, Hamid Mohamadi, et al.. (2017). ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter. Genome Research. 27(5). 768–777. 455 indexed citations breakdown →

6.

Khan, Hamza, Hamid Mohamadi, Benjamin P. Vandervalk, et al.. (2017). ChopStitch: exon annotation and splice graph construction using transcriptome assembly and whole genome sequencing data. Bioinformatics. 34(10). 1697–1704. 3 indexed citations

7.

Mohamadi, Hamid, Hamza Khan, & İnanç Birol. (2017). ntCard: a streaming algorithm for cardinality estimation in genomics data. Bioinformatics. 33(9). 1324–1330. 41 indexed citations

8.

Chu, Justin, Hamid Mohamadi, René L. Warren, Chen Yang, & İnanç Birol. (2016). Innovations and challenges in detecting long read overlaps: an evaluation of the state-of-the-art. Bioinformatics. 33(8). 1261–1270. 23 indexed citations

9.

Jackman, Shaun D., René L. Warren, Ewan A. Gibb, et al.. (2016). Organellar genomes of white spruce (Picea glauca): assembly and annotation. Faculty of 1000 Research Ltd. 5. 2 indexed citations

10.

Mohamadi, Hamid, Justin Chu, Benjamin P. Vandervalk, & İnanç Birol. (2016). ntHash: recursive nucleotide hashing. Bioinformatics. 32(22). 3492–3494. 48 indexed citations

11.

Jackman, Shaun D., René L. Warren, Ewan A. Gibb, et al.. (2015). Organellar Genomes of White Spruce (Picea glauca): Assembly and Annotation. Genome Biology and Evolution. 8(1). 29–41. 39 indexed citations

12.

Mohamadi, Hamid, Benjamin P. Vandervalk, Anthony Raymond, et al.. (2015). DIDA: Distributed Indexing Dispatched Alignment. PLoS ONE. 10(4). e0126409–e0126409. 7 indexed citations

13.

Vandervalk, Benjamin P., Chen Yang, Justin Chu, et al.. (2015). Konnector v2.0: pseudo-long reads from paired-end sequencing data. BMC Medical Genomics. 8(S3). S1–S1. 16 indexed citations

14.

Birol, İnanç, Justin Chu, Hamid Mohamadi, et al.. (2015). Spaced Seed Data Structures forDe NovoAssembly. International Journal of Genomics. 2015. 1–8. 4 indexed citations

15.

Chu, Justin, Sara Sadeghi, Anthony Raymond, et al.. (2014). BioBloom tools: fast, accurate and memory-efficient host species sequence screening using bloom filters. Bioinformatics. 30(23). 3402–3404. 62 indexed citations

16.

Birol, İnanç, Hamid Mohamadi, Anthony Raymond, et al.. (2014). Spaced seed data structures. 49. 15–22.

17.

Ilie, Lucian, Hamid Mohamadi, G. Brian Golding, & William F. Smyth. (2013). BOND: Basic OligoNucleotide Design. BMC Bioinformatics. 14(1). 69–69. 18 indexed citations

18.

Abadeh, Mohammad Saniee, Hamid Mohamadi, & Jafar Habibi. (2010). Design and analysis of genetic fuzzy systems for intrusion detection in computer networks. Expert Systems with Applications. 38(6). 7067–7075. 54 indexed citations

19.

Pouyan, Maziyar Baran, et al.. (2009). A Novel Fuzzy Genetic Annealing Classification Approach. 220. 87–91. 2 indexed citations

20.

Mohamadi, Hamid, et al.. (2008). Intrusion detection in computer networks using tabu search based fuzzy system. 1–6. 1 indexed citations

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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