Jafar Razmara

36 papers and 510 indexed citations i.

About

Jafar Razmara is a scholar working on Molecular Biology, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Jafar Razmara has authored 36 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Jafar Razmara’s work include Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (5 papers) and Enzyme Structure and Function (5 papers). Jafar Razmara is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (5 papers) and Enzyme Structure and Function (5 papers). Jafar Razmara collaborates with scholars based in Iran, Malaysia and United States. Jafar Razmara's co-authors include Sepideh Parvizpour, Yadollah Omidi, Mohammad M. Pourseif, Mohammad A. Rafi, Hamed Tabrizchi, Mohd Shahir Shamsir, Shahriar Lotfi, Mohsen Amini Salehi, Rosli Md Illias and Safaai Deris and has published in prestigious journals such as Applied Microbiology and Biotechnology, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Jafar Razmara i

Fields of papers citing papers by Jafar Razmara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jafar Razmara

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025