Maryam Abbasi
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Materials Chemistry
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Joel P. ArraisBernardete RibeiroJosé Luís OliveiraFilipe SáPedro MartinsRui M. M. BritoFilipe CaldeiraRicardo Martins
- Topics
- Computational Drug Discovery Methods (13 papers)Cloud Computing and Resource Management (7 papers)Advanced Database Systems and Queries (7 papers)
- Journals
- Chemical ReviewsSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- PortugalUnited StatesAustralia
In The Last Decade
Maryam Abbasi
40 papers receiving 289 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 131
- Molecular Biology 106
- Materials Chemistry 66
- Artificial Intelligence 34
- Biomedical Engineering 25
Countries citing papers authored by Maryam Abbasi
This map shows the geographic impact of Maryam Abbasi'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 Maryam Abbasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Abbasi more than expected).
Fields of papers citing papers by Maryam Abbasi
This network shows the impact of papers produced by Maryam Abbasi. 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 Maryam Abbasi. The network helps show where Maryam Abbasi may publish in the future.
Co-authorship network of co-authors of Maryam Abbasi
This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Abbasi. A scholar is included among the top collaborators of Maryam Abbasi 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 Maryam Abbasi. Maryam Abbasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 60 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 54 | |
| 20 | 1 |
About Maryam Abbasi
Maryam Abbasi is a scholar working on Computer Science Applications, Computational Theory and Mathematics and Computer Networks and Communications, having authored 55 papers that have together received 299 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Cloud Computing and Resource Management (7 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Health Informatics (7 citations) and Software (6 citations). Maryam Abbasi has collaborated with scholars based in Portugal, United States and Australia. Frequent co-authors include Joel P. Arrais, Bernardete Ribeiro, José Luís Oliveira, Filipe Sá, Pedro Martins, Rui M. M. Brito, Filipe Caldeira, Ricardo Martins, Miguel Pinheiro and Luís Paquete. Their work appears in journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Bioinformatics.
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.