Qassim Nasir

University of Sharjah · United Arab Emirates

Unclaimed · AI-structured profileORCID OpenAlex

University of Sharjah researcher working across signal processing, blockchain and federated learning systems.

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

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—

No output score is available yet. This axis would measure total publication volume and its growth across a career; the current snapshot does not include the complete works list needed to compute it, so the axis is left unscored.

Impact—

No impact score is available yet. This axis would measure citation-based influence, such as raw and field-normalised citation rates; the snapshot does not include the complete citation record required for scoring, so no estimate is made.

Focus0/100

Focus scores 0/100, the lowest possible, reflecting a very wide spread of work. The topic record splits across five clusters — PLL and VCO technologies (21 works), blockchain applications and security (17), modulation classification (16), radar systems and signal processing (15), and chaos control and synchronisation (13) — and the recent field distribution is evenly split 0.5/0.5 between computer vision for architectural heritage and federated learning, indicating breadth rather than concentration.

Collaboration39/100

Collaboration scores 39/100, a moderate-to-low reading: 47 works over the last three years involved only 6 distinct co-authors, indicating a small, stable circle rather than broad network growth. The recurring names include Manar Wasif Abu Talib, Ahmed Ammar Kubba, Iman Ibrahim, Bassel Soudan, Sohail Abbas and Ahmed Kubba, and both 2026 catalogued papers are last-authored, non-corresponding team outputs.

Activity100/100

Activity scores 100/100, the maximum in the radar. The OpenAlex snapshot records output every year from 2004 to 2026, with a steep recent rise: 16 works in 2019, 17 in 2020, 16 in 2021, 13 in 2024, a peak of 22 in 2025 and 12 already in 2026. The 47 works over the last three years confirm an exceptionally high and sustained publishing pace.

Reproducibility20/100

Reproducibility scores 20/100, the mean over 2 papers reviewed by Evolve. Both carry low repro-readiness: the CLIP+SVM heritage classification study is flagged for a circular evaluation in which labels derive from the same features used for clustering, and the federated-learning framework comparison is flagged for an unverifiable setup and inconsistent statistics.

Research summary

Qassim Nasir is a researcher at the University of Sharjah (United Arab Emirates) whose bibliometric record, resolved from OpenAlex data, spans more than two decades of continuous output. The profile is broad: the largest topic clusters cover PLL and VCO technologies (21 works), blockchain applications and security (17), wireless modulation classification (16), radar systems and signal processing (15), and chaos control and synchronisation (13). The snapshot reports an h-index of 23 and an i10-index of 54, with yearly output accelerating sharply — 16 works in 2019, 17 in 2020, 16 in 2021, a peak of 22 in 2025, and 12 already in 2026, totalling 47 works over the last three years. The two most recent catalogued papers mark a pivot toward machine-learning applications: a CLIP+SVM classifier for UAE residential architectural styles and a comparative evaluation of federated-learning frameworks, both last-authored. Evolve's reviews are cautious on both, citing a circular evaluation design and an unverifiable experimental setup respectively, with low repro-readiness. The overall picture is a prolific, wide-ranging applied researcher whose recent work would benefit from stronger evaluation and documentation practices.

Collaboration pattern

Collaboration scores 39/100: the 47 works from the last three years involve only 6 distinct co-authors, pointing to a small, stable core team rather than an expanding network. The most frequent partners in the record are Manar Wasif Abu Talib, Ahmed Ammar Kubba, Ahmed Kubba, Iman Ibrahim, Bassel Soudan and Sohail Abbas. Both catalogued 2026 papers are last-authored and non-corresponding, consistent with a senior contributor role inside a fixed group.

Research keywords

Phase-locked loops (PLL)Voltage-controlled oscillators (VCO)Blockchain securitySignal modulation classificationRadar signal processingChaos control and synchronizationCLIP embeddingsMultimodal learningArchitectural heritage classificationFederated learningScalability evaluationSupport vector machines (SVM)

Highlights

CLIP+SVM architectural style classification for UAE homes
A 2026 arXiv paper (last author) applies CLIP embeddings with an SVM to classify residential architectural styles in the UAE, claiming 98% state-of-the-art accuracy. Evolve's review cautions that the labels derive from clustering the same features, making the evaluation circular; repro-readiness is rated low.
Comparative scalability evaluation of federated learning frameworks
A 2026 arXiv paper (last author) compares four federated-learning frameworks on MNIST with 2–100 clients and reports OpenFL as the most scalable. Evolve finds the comparison data useful but notes an unverifiable setup and inconsistent statistics; repro-readiness is rated low.
Two decades of uninterrupted, accelerating output
The snapshot records works every year from 2004 through 2026, with the last three years totalling 47 works, a 2025 peak of 22 works, and a reported h-index of 23 and i10-index of 54.

Timeline

2004First year with recorded output in the OpenAlex snapshot (1 work); publishing continues every year through 2026.
2019Output steps up sharply: 16 works in 2019 versus 9 in 2018, starting a sustained high-activity stretch of 16–17 works annually through 2021.
2025Most productive year in the record: 22 works, following 13 in 2024.
2026Two latest catalogued papers appear on arXiv — CLIP+SVM architectural style classification for UAE homes and a federated-learning framework comparison — both last-authored, with 12 works already recorded this year.

Papers in the Evolve catalog

Frequent co-authors

Manar Wasif Abu Talib×2 Ahmed Ammar Kubba×1 Iman Ibrahim×1 Bassel Soudan×1 Sohail Abbas×1 Ahmed Kubba×1

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 indicators are computed from an OpenAlex snapshot; the output and impact axes are flagged as missing there and are not estimated in this profile.
Only two papers have full Evolve reviews, both 2026 arXiv preprints with low repro-readiness; the wider catalog has not been individually assessed.
The profile is name-resolved from public bibliographic data (OpenAlex, ORCID 0000-0002-2837-3402); attribution of individual works should be verified against the ORCID record.
The 0.5/0.5 field distribution reflects only the two recently catalogued fields and may not represent the full topical span shown in the five topic clusters.