Hamid Mohamadi

2.0k citations
25 papers · 1.0k indexed · 1 hit paper · h-index 13

Hamid Mohamadi

23 papers receiving 978 citations

Hit Papers

ABySS 2.0: resource-efficient assembly of large genomes u...4552017202620202023100200300400

Peers

Hamid Mohamadi
Comparison fields: 5 of 107
  • Horticulture 9
  • Molecular Biology 624
  • Plant Science 249
  • Ecology 169
  • Endocrinology 33
Replace Benjamin P. Vandervalk with:
Benjamin P. Vandervalk Canada
Vasilis J. Promponas Cyprus
Hideaki Sugawara Japan
Weichun Huang United States
Sanchit Misra United States
Jane M. Landolin United States
Roberto Vera Alvarez United States
Marcus C. Chibucos United States
A. A. Schaffer United States
Lauren Coombe Canada
Hamid Mohamadi relative to Benjamin P. Vandervalk Canada Benjamin P. Vandervalk's profile →
Citations per field
00.5×1.5×
Benjamin P. Vandervalk · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20227
2 202032
3 201955
4 201873
5
ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filterbreakdown →
2017455
6 20173
7 201741
8 201623
9 20162
10 201648
11 201539
12 20157
13 201516
14 20154
15 201462
16 20140
17 201318
18 201054
19 20092
20 20081

About Hamid Mohamadi

Hamid Mohamadi is a scholar working on Artificial Intelligence, Molecular Biology and Plant Science, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (8 papers), Algorithms and Data Compression (6 papers), Chromosomal and Genetic Variations (5 papers), Artificial Immune Systems Applications (3 papers), Network Security and Intrusion Detection (3 papers), Fuzzy Logic and Control Systems (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Horticulture (9 citations), Molecular Biology (624 citations) and Plant Science (249 citations). Hamid Mohamadi has collaborated with scholars based in Canada, Iran and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

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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