Majid Mohammad Beigi

13 papers and 815 indexed citations i.

About

Majid Mohammad Beigi is a scholar working on Molecular Biology, Signal Processing and Microbiology. According to data from OpenAlex, Majid Mohammad Beigi has authored 13 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Signal Processing and 4 papers in Microbiology. Recurrent topics in Majid Mohammad Beigi’s work include Machine Learning in Bioinformatics (6 papers), Antimicrobial Peptides and Activities (4 papers) and Music and Audio Processing (4 papers). Majid Mohammad Beigi is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Antimicrobial Peptides and Activities (4 papers) and Music and Audio Processing (4 papers). Majid Mohammad Beigi collaborates with scholars based in Iran and Germany. Majid Mohammad Beigi's co-authors include Hassan Mohabatkar, Mandana Behbahani, Abolghasem Esmaeili, Sasan Mohsenzadeh, Mohaddeseh Behjati, Andreas Zell, Mandana Behbahani and Azar Shahpiri and has published in prestigious journals such as Journal of Theoretical Biology, International Journal of Biological Macromolecules and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Majid Mohammad Beigi i

Fields of papers citing papers by Majid Mohammad Beigi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Majid Mohammad Beigi. 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 Majid Mohammad Beigi. The network helps show where Majid Mohammad Beigi may publish in the future.

Countries citing papers authored by Majid Mohammad Beigi

Since Specialization
Citations

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

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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