Prolific applied-ML researcher at University of Sharjah spanning heritage vision, AI oncology, and federated learning
4
papers here
4
reviewed by Evolve
0
first-author
1
corresponding
—
works · OpenAlex
27
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-15) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
The output axis is not scored yet: a verified total publication count and complete venue record are unavailable in this snapshot. It would measure cumulative works, yearly production volume, and the distribution of outputs across journals, conferences, and preprint servers.
Impact—
The impact axis is not scored yet: citation totals and per-paper citation distributions are missing from the current data. It would measure accumulated citations, citation trajectories over time, and the field-normalized influence of individual publications.
Focus0/100
The focus score of 0 reflects maximal breadth rather than depth in the current snapshot: the recent field distribution splits evenly at 0.25 across computer vision for architectural heritage, AI for oncology, bioinformatics, and federated learning, while the historical topic profile spans five areas led by blockchain applications (23 works), neural networks (21), and software engineering (21). No single domain yet dominates the recent record.
Collaboration51/100
With a mid-range collaboration score of 51, the profile records 12 distinct co-authors over the last three years. The four cataloged 2026 preprints are all multi-author efforts, with Abu Talib in the middle author position on three and corresponding author on the federated-learning comparison, alongside recurring University of Sharjah collaborators such as Qassim Nasir, Ali Bou Nassif, and Bassel Soudan.
Activity100/100
Activity earns the maximum score of 100: the snapshot records 86 works in the most recent three years, and yearly counts show a steep climb from 11 works in 2020 to 21 in 2021, 27 in 2024, and 34 in 2025, with 25 works already registered for 2026. This sustained acceleration marks the most productive phase of the indexed career.
Reproducibility20/100
Reproducibility is the weakest axis at 20/100, computed from four reviewed papers (reproMean 20). Evolve rated all four 2026 preprints low on reproducibility readiness, citing circular evaluation in the CLIP+SVM and hepatocellular carcinoma dataset studies, data leakage and missing per-class metrics in the biomarker work, and an unverifiable setup in the federated-learning comparison.
Research summary
Manar Wasif Abu Talib is a researcher at the University of Sharjah (UAE) whose OpenAlex-indexed profile shows an h-index of 27, an i10-index of 52, and 86 works in the most recent three years — a maximum activity score backed by yearly output that climbed from 11 works in 2020 to 21 in 2021, 27 in 2024, and 34 in 2025, with 25 already registered for 2026. The historical topic profile spans blockchain applications and security (23 works), advanced neural network applications (21), software engineering techniques (21), open source software (14), and blockchain in education (12), while the recent field distribution splits evenly at 0.25 across computer vision for architectural heritage, AI for oncology, bioinformatics, and federated learning. Four 2026 arXiv preprints in the Evolve catalog illustrate this range: CLIP+SVM style classification of UAE residential buildings, a 770-sample five-stage hepatocellular carcinoma gene-expression dataset, an AI biomarker study for early-stage liver cancer with in-vitro DNAJB14 validation, and a corresponding-author comparison of federated learning frameworks. Evolve's reviews credit translational ambition but rate all four low on reproducibility readiness (profile mean 20/100), citing circular evaluation, data leakage, and unverifiable setups. Collaboration is mid-range (51/100) with 12 distinct recent co-authors; output and impact axes remain unscored for lack of citation-level data.
Collaboration pattern
Collaboration is mid-range (51/100) with 12 distinct co-authors in the last three years. The pattern is small, Sharjah-centered teams: computing-side partners such as Qassim Nasir, Ali Bou Nassif, and Bassel Soudan, plus a hepatology and oncology cluster including Jibran Sualeh Muhammad, Jens U. Marquardt, and Darko Castven. On the cataloged preprints Abu Talib sits in the middle author position on three and is corresponding author on the federated-learning framework comparison.
Research keywords
Highlights
CLIP+SVM architectural style classification for UAE homes
Semi-supervised gene-expression dataset for five-stage hepatocellular carcinoma
Comparative scalability evaluation of federated learning frameworks (corresponding author)
AI-driven biomarker discovery for early-stage liver cancer
Timeline
- 2026Released an arXiv preprint on CLIP+SVM multimodal classification of residential architectural styles in the UAE.
- 2026Released an arXiv preprint introducing a 770-sample, five-stage hepatocellular carcinoma gene-expression dataset built with XGBoost self-training.
- 2026Released, as corresponding author, an arXiv preprint comparing the scalability of four federated learning frameworks on MNIST.
- 2026Released an arXiv preprint on AI identification of diagnostic and prognostic biomarkers for early-stage liver cancer, with in-vitro DNAJB14 validation.
Papers in the Evolve catalog
Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM
Semi-Supervised Learning-Based Genetic Biomarkers Dataset for Multiple-Stage Hepatocellular Carcinoma Prediction
- corresponding
Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric figures are drawn from an OpenAlex snapshot only; citation-level data is insufficient to score the output and impact axes.
- h-index (27) and i10-index (52) are quoted verbatim from the snapshot; no per-year citation distribution was provided for deeper impact analysis.
- Evolve's quality verdicts cover only the four 2026 arXiv preprints listed; their peer-review status is unknown.
- This profile is name-resolved from public bibliographic data (ORCID 0000-0003-3001-0077); no biographical, award, or funding information was available.