Maryam Abbasi

730 total citations
55 papers, 299 citations indexed

About

Maryam Abbasi is a scholar working on Molecular Biology, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Maryam Abbasi has authored 55 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Computer Networks and Communications and 13 papers in Computational Theory and Mathematics. Recurrent topics in Maryam Abbasi's work include Computational Drug Discovery Methods (13 papers), Cloud Computing and Resource Management (7 papers) and Advanced Database Systems and Queries (7 papers). Maryam Abbasi is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Cloud Computing and Resource Management (7 papers) and Advanced Database Systems and Queries (7 papers). Maryam Abbasi collaborates with scholars based in Portugal, United States and France. Maryam Abbasi's co-authors include Joel P. Arrais, Bernardete Ribeiro, José Luís Oliveira, Filipe Sá, Rui M. M. Brito, Pedro Martins, Filipe Caldeira, Ricardo Martins, Arnaud Liefooghe and Luís Paquete and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Maryam Abbasi

40 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maryam Abbasi Portugal 9 131 106 66 34 25 55 299
Gunnar Mathiason Sweden 7 128 1.0× 86 0.8× 84 1.3× 29 0.9× 16 0.6× 22 303
Heba Askr Egypt 9 136 1.0× 99 0.9× 31 0.5× 98 2.9× 25 1.0× 16 339
Hanqun Cao Hong Kong 4 103 0.8× 103 1.0× 48 0.7× 48 1.4× 13 0.5× 5 330
Shufang Xie China 14 121 0.9× 119 1.1× 107 1.6× 108 3.2× 29 1.2× 39 368
Brian Belgodere United States 5 144 1.1× 105 1.0× 126 1.9× 52 1.5× 7 0.3× 7 289
Taimoor Muzaffar Gondal Pakistan 6 58 0.4× 68 0.6× 28 0.4× 34 1.0× 47 1.9× 9 263
Xiangyi Li China 10 88 0.7× 87 0.8× 66 1.0× 51 1.5× 8 0.3× 22 326
Mahmood A. Rashid Australia 11 49 0.4× 214 2.0× 36 0.5× 38 1.1× 7 0.3× 29 330
Farzan Soleymani Canada 9 64 0.5× 108 1.0× 17 0.3× 63 1.9× 7 0.3× 17 368

Countries citing papers authored by Maryam Abbasi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Abbasi, Maryam, et al.. (2025). ABIET: An explainable transformer for identifying functional groups in biological active molecules. Computers in Biology and Medicine. 187. 109740–109740.
2.
Abbasi, Maryam, et al.. (2025). Head-to-Head Evaluation of FDM and SLA in Additive Manufacturing: Performance, Cost, and Environmental Perspectives. Applied Sciences. 15(4). 2245–2245. 13 indexed citations
3.
Costa, Cecília, et al.. (2025). Self-efficacy in computational thinking: Preliminary analysis of pre-service teachers’ perception through a Portuguese tool. Eurasia Journal of Mathematics Science and Technology Education. 21(6). em2647–em2647.
4.
Hu, Zixuan, Manas Sajjan, Maryam Abbasi, et al.. (2025). Quantum Algorithms and Applications for Open Quantum Systems. Chemical Reviews. 125(4). 1823–1839. 5 indexed citations
5.
Marques, Pedro Carmona, et al.. (2025). Real-Time Gesture-Based Hand Landmark Detection for Optimized Mobile Photo Capture and Synchronization. Electronics. 14(4). 704–704. 1 indexed citations
6.
Martins, Pedro, et al.. (2024). Intelligent Control System for Wood Drying: Scalable Architecture, Predictive Analytics, and Future Enhancements. Procedia Computer Science. 238. 602–609.
7.
Abbasi, Maryam, et al.. (2024). Exploratory teaching: Integrating applet to teach arithmetic multiplication operation. Eurasia Journal of Mathematics Science and Technology Education. 20(12). em2546–em2546.
8.
Abbasi, Maryam, et al.. (2024). Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking. Eurasia Journal of Mathematics Science and Technology Education. 20(11). em2528–em2528. 1 indexed citations
9.
Abbasi, Maryam, et al.. (2024). Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions. SHILAP Revista de lepidopterología. 12(11). 216–216. 1 indexed citations
10.
Martins, Pedro, et al.. (2024). Smart Building Control: An Android Application for Enhanced Monitoring and Management in the Internet of Things Era. Procedia Computer Science. 238. 594–601. 3 indexed citations
11.
Abbasi, Maryam, et al.. (2023). Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information. Journal of Computer-Aided Molecular Design. 37(12). 791–806. 2 indexed citations
12.
Abbasi, Maryam, et al.. (2023). Enhancing reinforcement learning for de novo molecular design applying self-attention mechanisms. Briefings in Bioinformatics. 24(6). 3 indexed citations
13.
Abbasi, Maryam, et al.. (2022). Designing optimized drug candidates with Generative Adversarial Network. Journal of Cheminformatics. 14(1). 40–40. 60 indexed citations
14.
Abbasi, Maryam, et al.. (2022). Explainable deep drug–target representations for binding affinity prediction. BMC Bioinformatics. 23(1). 237–237. 8 indexed citations
15.
16.
Abbasi, Maryam, et al.. (2021). Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. 172–177. 4 indexed citations
17.
Abbasi, Maryam, et al.. (2021). Portuguese Local E-government: A Study on the Most Adopted Databases in 2019. Estudo Geral (Universidade de Coimbra). 1–12.
18.
Abbasi, Maryam, et al.. (2020). End-to-end Deep Reinforcement Learning for Targeted Drug Generation. 7–13. 2 indexed citations
19.
Sultan, Babar, Javed Ahmed, Abdul Jalil, et al.. (2017). Translation and rotation invariant video stabilization for real time applications. 2 indexed citations
20.
Abbasi, Maryam, Luís Paquete, & Francisco B. Pereira. (2016). Heuristics for multiobjective multiple sequence alignment. BioMedical Engineering OnLine. 15(S1). 70–70. 1 indexed citations

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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