Jafar Razmara
- Molecular Biology
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Immunology
- Oncology
- Co-authors
- Sepideh ParvizpourYadollah OmidiMohammad M. PourseifMohammad A. RafiHamed TabrizchiMohd Shahir ShamsirShahriar LotfiMohsen Amini Salehi
- Topics
- Machine Learning in Bioinformatics (9 papers)Protein Structure and Dynamics (7 papers)Enzyme Structure and Function (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsApplied Microbiology and Biotechnology
In The Last Decade
Jafar Razmara
43 papers receiving 627 citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 331
- Artificial Intelligence 128
- Radiology, Nuclear Medicine and Imaging 91
- Immunology 88
- Oncology 84
Countries citing papers authored by Jafar Razmara
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).
Fields of papers citing papers by Jafar Razmara
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.
Co-authorship network of co-authors of Jafar Razmara
This figure shows the co-authorship network connecting the top 25 collaborators of Jafar Razmara. A scholar is included among the top collaborators of Jafar Razmara 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 Jafar Razmara. Jafar Razmara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | Profiling Haters on Twitter using Statistical and Contextualized Embeddings. | 1 |
| 9 | 16 | |
| 10 | LSACoNet: A Combination of Lexical and Conceptual Features for Analysis of Fake News Spreaders on Twitter. | 3 |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 16 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | A novel text modeling approach for structural comparison and alignment of biomolecules | 2 |
About Jafar Razmara
Jafar Razmara is a scholar working on Health Informatics, Artificial Intelligence and Molecular Biology, having authored 46 papers that have together received 640 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Molecular Biology (331 citations), Biotechnology (38 citations) and Immunology (88 citations). Jafar Razmara has collaborated with scholars based in Iran, Malaysia and Hungary. Frequent 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 Ayaz Isazadeh. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Microbiology and Biotechnology.
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.