Razib M. Othman

539 citations
37 papers · 400 · h-index 11

Impact in

Papers in

    • Bioinformatics and Genomic Networks 13
    • Machine Learning in Bioinformatics 12
    • Protein Structure and Dynamics 7
    • Biomedical Text Mining and Ontologies 6
    • Gene expression and cancer classification 4
    • Genomics and Phylogenetic Studies 3
    • Biometric Identification and Security 10

Razib M. Othman

37 papers receiving 366 citations

Peers

Razib M. Othman
Comparison fields: 5 of 79
  • Signal Processing 148
  • Computer Vision and Pattern Recognition 173
  • Information Systems 88
  • Media Technology 33
  • Artificial Intelligence 79
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Citations per field
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Citations per year

Countries citing papers authored by Razib M. Othman

Since Specialization
Citations

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

Fields of papers citing papers by Razib M. Othman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Razib M. Othman. 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 Razib M. Othman. The network helps show where Razib M. Othman may publish in the future.

Co-authors

The 14 scholars most cited alongside Razib M. Othman, 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 Razib M. Othman Line = papers co-authored together Razib M. Othman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201485
2 200741
3 201431
4 200724
5 201321
6 201320
7 200719
8 200716
9 201115
10 201512
11 201311
12 201010
13 201410
14 20067
15 20117
16 20146
17 20146
18 20175
19 20175
20 20075

About Razib M. Othman

Razib M. Othman is a scholar working on Molecular Biology, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 37 papers that have together received 400 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Machine Learning in Bioinformatics (12 papers), Biometric Identification and Security (10 papers), Protein Structure and Dynamics (7 papers), User Authentication and Security Systems (6 papers), Biomedical Text Mining and Ontologies (6 papers), Gene expression and cancer classification (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Signal Processing (148 citations), Computer Vision and Pattern Recognition (173 citations), Information Systems (88 citations), Media Technology (33 citations) and Artificial Intelligence (79 citations). Razib M. Othman has collaborated with scholars based in Malaysia, Indonesia and Iraq. Frequent co-authors include Rohayanti Hassan, Hishammuddin Asmuni, Safaai Deris, Rosli Md Illias, Anis Farihan Mat Raffei, Hany Alashwal, Shahreen Kasim, Dzulkifli Mohamad, Puteh Saad and Zalmiyah Zakaria. Their work appears in journals such as Computers in Biology and Medicine, Information Sciences, Expert Systems with Applications, Journal of Biomedical Informatics and Knowledge-Based Systems.

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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