Wadha Labda

541 total citations · 1 hit paper
8 papers, 299 citations indexed

About

Wadha Labda is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Wadha Labda has authored 8 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Wadha Labda's work include Cryptography and Data Security (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Wadha Labda is often cited by papers focused on Cryptography and Data Security (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Wadha Labda collaborates with scholars based in Qatar and United Kingdom. Wadha Labda's co-authors include Farida Sabry, Qutaibah Malluhi, Tamer Ahmed Eltaras, Khawla Alzoubi, Aiman Erbad, Nikolay Mehandjiev and Pedro Sampaio and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Wadha Labda

8 papers receiving 283 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning for Healthcare Wearable Devices: The Big Picture

2022 153 citations Farida Sabry, Tamer Ahmed Eltaras et al. Journal of Healthcare Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wadha Labda Qatar	6	81	73	73	30	27	8	299
Farida Sabry Qatar	5	69 0.9×	49 0.7×	73 1.0×	25 0.8×	28 1.0×	8	270
Moon-Il Joo South Korea	9	98 1.2×	129 1.8×	38 0.5×	64 2.1×	27 1.0×	25	370
Ganesh Kumar Malaysia	9	60 0.7×	90 1.2×	51 0.7×	49 1.6×	20 0.7×	18	342
Anayo Chukwu Ikegwu Nigeria	6	49 0.6×	36 0.5×	44 0.6×	24 0.8×	22 0.8×	9	258
Hamdan O. Alanazi Malaysia	8	98 1.2×	60 0.8×	36 0.5×	44 1.5×	60 2.2×	12	310
Tamer Ahmed Eltaras Qatar	4	57 0.7×	25 0.3×	72 1.0×	35 1.2×	23 0.9×	6	244
V. Mahalakshmi India	6	60 0.7×	50 0.7×	28 0.4×	45 1.5×	25 0.9×	25	260
Samir Abdelrazek Egypt	8	133 1.6×	40 0.5×	57 0.8×	70 2.3×	33 1.2×	15	356
Pedro Elkind Velmovitsky Canada	8	37 0.5×	113 1.5×	45 0.6×	87 2.9×	16 0.6×	22	332
Chioma Virginia Anikwe Nigeria	4	41 0.5×	33 0.5×	43 0.6×	23 0.8×	22 0.8×	5	224

Countries citing papers authored by Wadha Labda

Since Specialization

Citations

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

Fields of papers citing papers by Wadha Labda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wadha Labda

This figure shows the co-authorship network connecting the top 25 collaborators of Wadha Labda. A scholar is included among the top collaborators of Wadha Labda 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 Wadha Labda. Wadha Labda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Eltaras, Tamer Ahmed, et al.. (2023). Efficient Verifiable Protocol for Privacy-Preserving Aggregation in Federated Learning. IEEE Transactions on Information Forensics and Security. 18. 2977–2990. 35 indexed citations

2.

Sabry, Farida, et al.. (2023). Privacy-preserving Deep-learning Models for Fingerprint Data using Differential Privacy. Qatar University QSpace (Qatar University). 45–53. 3 indexed citations

3.

Sabry, Farida, et al.. (2023). Wearable Data Generation Using Time-Series Generative Adversarial Networks for Hydration Monitoring. 94–105. 2 indexed citations

4.

Sabry, Farida, et al.. (2022). Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device’s Data. Sensors. 22(5). 1887–1887. 25 indexed citations

5.

Sabry, Farida, Tamer Ahmed Eltaras, Wadha Labda, Khawla Alzoubi, & Qutaibah Malluhi. (2022). Machine Learning for Healthcare Wearable Devices: The Big Picture. Journal of Healthcare Engineering. 2022. 1–25. 153 indexed citations breakdown →

6.

Sabry, Farida, Wadha Labda, Aiman Erbad, & Qutaibah Malluhi. (2020). Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities. IEEE Access. 8. 175840–175858. 40 indexed citations

7.

Sabry, Farida, et al.. (2019). Anonymity and Privacy in Bitcoin Escrow Trades. Qatar University QSpace (Qatar University). 211–220. 9 indexed citations

8.

Labda, Wadha, Nikolay Mehandjiev, & Pedro Sampaio. (2014). Modeling of privacy-aware business processes in BPMN to protect personal data. Research Explorer (The University of Manchester). 1399–1405. 32 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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