Zahraa S. Abdallah

653 total citations
20 papers, 361 citations indexed

About

Zahraa S. Abdallah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zahraa S. Abdallah has authored 20 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Zahraa S. Abdallah's work include Context-Aware Activity Recognition Systems (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Gene Regulatory Network Analysis (3 papers). Zahraa S. Abdallah is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Gene Regulatory Network Analysis (3 papers). Zahraa S. Abdallah collaborates with scholars based in United Kingdom, Australia and Singapore. Zahraa S. Abdallah's co-authors include Shonali Krishnaswamy, Mohamed Medhat Gaber, Bala Srinivasan, B. Srinivasan, Arkady Zaslavsky, Hai-Long Nguyen, Prem Prakash Jayaraman, João Bártolo Gomes, Claire Grierson and Wei Pang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and PLoS Computational Biology.

In The Last Decade

Zahraa S. Abdallah

18 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zahraa S. Abdallah United Kingdom 8 162 155 87 56 48 20 361
Manhyung Han South Korea 9 201 1.2× 98 0.6× 121 1.4× 46 0.8× 11 0.2× 14 350
Sarah Masud Preum United States 11 87 0.5× 144 0.9× 78 0.9× 30 0.5× 21 0.4× 40 335
Labiba Gillani Fahad Pakistan 12 258 1.6× 126 0.8× 144 1.7× 30 0.5× 8 0.2× 28 479
Ahmed Kattan Saudi Arabia 12 147 0.9× 188 1.2× 67 0.8× 24 0.4× 7 0.1× 30 444
Claudio Martella Netherlands 10 171 1.1× 88 0.6× 76 0.9× 61 1.1× 32 0.7× 14 335
Ozgur Yurur United States 8 179 1.1× 50 0.3× 117 1.3× 52 0.9× 57 1.2× 10 286
Xiaomin Ouyang Hong Kong 9 134 0.8× 277 1.8× 94 1.1× 13 0.2× 45 0.9× 19 425
Fei Yi China 12 80 0.5× 94 0.6× 43 0.5× 139 2.5× 50 1.0× 23 334

Countries citing papers authored by Zahraa S. Abdallah

Since Specialization
Citations

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

Fields of papers citing papers by Zahraa S. Abdallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zahraa S. Abdallah. 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 Zahraa S. Abdallah. The network helps show where Zahraa S. Abdallah may publish in the future.

Co-authorship network of co-authors of Zahraa S. Abdallah

This figure shows the co-authorship network connecting the top 25 collaborators of Zahraa S. Abdallah. A scholar is included among the top collaborators of Zahraa S. Abdallah 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 Zahraa S. Abdallah. Zahraa S. Abdallah 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.
Armstrong, Miranda Elaine Glynis, et al.. (2025). Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches. Bristol Research (University of Bristol). 1–20. 1 indexed citations
2.
Pang, Wei, et al.. (2025). Accelerated design of Escherichia coli reduced genomes using a whole-cell model and machine learning. Cell Systems. 16(10). 101392–101392.
3.
Abdallah, Zahraa S., et al.. (2025). Stratify: unifying multi-step forecasting strategies. Data Mining and Knowledge Discovery. 39(5). 2 indexed citations
4.
Parmeggiani, Fabio, et al.. (2024). Data hazards in synthetic biology. PubMed. 9(1). ysae010–ysae010. 6 indexed citations
5.
Brown, Kate Robson, et al.. (2024). Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data. SHILAP Revista de lepidopterología. 5. e44384–e44384. 3 indexed citations
6.
Abdallah, Zahraa S., et al.. (2024). Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification. Explore Bristol Research. 1–6.
7.
Abdallah, Zahraa S., et al.. (2023). Stability for an Interface Transmission Problem of Wave-Plate Equations with Dynamical Boundary Controls. Acta Applicandae Mathematicae. 188(1). 2 indexed citations
8.
Abdallah, Zahraa S., et al.. (2023). Bridging the gap between mechanistic biological models and machine learning surrogates. PLoS Computational Biology. 19(4). e1010988–e1010988. 33 indexed citations
9.
Abdallah, Zahraa S., et al.. (2023). IMG-NILM: A Deep learning NILM approach using energy heatmaps. 1151–1153. 7 indexed citations
10.
Armstrong, Miranda Elaine Glynis, et al.. (2023). Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University. Bristol Research (University of Bristol). 1–16. 16 indexed citations
11.
Abdallah, Zahraa S., et al.. (2023). A robust class decomposition-based approach for detecting Alzheimer’s progression. Experimental Biology and Medicine. 248(24). 2514–2525. 2 indexed citations
12.
Abdallah, Zahraa S. & Mohamed Medhat Gaber. (2020). Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series. Machine Learning. 109(11). 2029–2061. 1 indexed citations
13.
Abdallah, Zahraa S., et al.. (2018). Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. RMIT Research Repository (RMIT University Library). 342–351. 14 indexed citations
14.
Abdallah, Zahraa S., Mohamed Medhat Gaber, Bala Srinivasan, & Shonali Krishnaswamy. (2018). Activity Recognition with Evolving Data Streams. ACM Computing Surveys. 51(4). 1–36. 59 indexed citations
15.
Abdallah, Zahraa S., Mohamed Medhat Gaber, Bala Srinivasan, & Shonali Krishnaswamy. (2016). AnyNovel: detection of novel concepts in evolving data streams. Evolving Systems. 7(2). 73–93. 41 indexed citations
16.
Abdallah, Zahraa S., Mark Carman, & Gholamreza Haffari. (2016). Multi-domain evaluation framework for named entity recognition tools. Computer Speech & Language. 43. 34–55. 7 indexed citations
17.
Jayaraman, Prem Prakash, João Bártolo Gomes, Hai-Long Nguyen, et al.. (2015). Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments. IEEE Transactions on Computational Social Systems. 2(3). 109–123. 44 indexed citations
18.
Abdallah, Zahraa S., Mohamed Medhat Gaber, Bala Srinivasan, & Shonali Krishnaswamy. (2014). Adaptive mobile activity recognition system with evolving data streams. Neurocomputing. 150. 304–317. 80 indexed citations
19.
Abdallah, Zahraa S., Mohamed Medhat Gaber, B. Srinivasan, & Shonali Krishnaswamy. (2012). StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition. Bristol Research (University of Bristol). 1163–1170. 36 indexed citations
20.
Abdallah, Zahraa S. & Mohamed Medhat Gaber. (2011). KB-CB-N classification: Towards unsupervised approach for supervised learning. Portsmouth Research Portal (University of Portsmouth). 283–290. 7 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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