MS

Mohammed Q. Shormani

Ibb University · Yemen

Unclaimed · AI-structured profileOpenAlex

Arabic NLP and computational sociolinguistics researcher at Ibb University: diglossia and code-switching.

2

papers here

2

reviewed by Evolve

0

first-author

0

corresponding

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works · OpenAlex

1

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: insufficient dataOutputImpact: insufficient dataImpactFocus: 0/100FocusCollaboration: 41/100CollaborationActivity: 100/100ActivityReproducibility: 20/100Reproducibility

Output—

Not yet scored: the underlying record lacks a reliable total-output count for this researcher. This axis would measure cumulative and per-year publication volume across venues and document types, and it will be computed once the work list is complete.

Impact—

Not yet scored: citation evidence is too thin — the record shows only an h-index of 1 and an i10-index of 0. This axis would measure citation counts, citing works, and field-normalized influence once sufficient citations accumulate.

Focus0/100

The focus score is 0, reflecting a wide spread: the OpenAlex field distribution splits exactly 50/50 between computational linguistics/NLP and computational sociolinguistics of Arabic digital discourse, and top topics span NLP techniques (17), EFL/ESL teaching and learning (11), translation studies and practices (10), topic modeling (9), and syntax, semantics and linguistic variation (9). Output bridges two fields rather than converging on a single specialization.

Collaboration41/100

Collaboration scores 41, a modest level. The recent three-year window that produced 30 works lists only 7 distinct coauthors, implying mostly small teams; frequent-coauthor entries include the name Fahad Al Hussen alongside affiliation strings for King Saud University (Saudi Arabia) and Ibb University (Yemen), suggesting metadata mixed into the co-author field. In the two reviewed papers he signs as last author and as a middle author, neither time as corresponding author.

Activity100/100

Activity scores 100, the maximum. Year-by-year counts climb from 1 work in 2015 and 2 in 2023 to 6 in 2025 and 24 in 2026, with 30 works in the most recent three-year window. This steep, recent ramp indicates a currently very intensive publishing phase, with the reviewed outputs released as 2026 arXiv preprints in Arabic NLP and digital sociolinguistics.

Reproducibility20/100

Reproducibility scores 20, the mean across 2 assessed papers, both rated low repro-readiness. The review of the X-versus-Facebook diglossia study cites solid statistics but timeline contradictions and table errors; the MARBERT/XLM-R pretraining comparison (macro F1 0.85 vs 0.52) is judged plausible but marred by table inconsistencies, so key numbers need source verification before reuse.

Research summary

Mohammed Q. Shormani is a researcher at Ibb University, Yemen, whose recorded work sits at the intersection of computational linguistics/NLP and the computational sociolinguistics of Arabic digital discourse — the OpenAlex field distribution splits exactly 50/50 between the two. His most frequent topics are natural language processing techniques (17 records), EFL/ESL teaching and learning (11), translation studies and practices (10), topic modeling (9), and syntax, semantics and linguistic variation (9). Activity is strongly front-loaded: counts by year show 1 work in 2015, 2 in 2023, 6 in 2025, and 24 in 2026, with 30 works in the most recent three-year window, yielding a maximum activity score of 100. Collaboration is modest (score 41) with 7 distinct coauthors; records include Fahad Al Hussen and affiliation strings for King Saud University (Saudi Arabia) and Ibb University (Yemen). Citation evidence is thin (h-index 1, i10-index 0), so impact is not scored. Evolve's reviews cover two 2026 arXiv preprints: a digital-diglossia study of Arabic on X versus Facebook, and a MARBERT-versus-XLM-R study of domain-specific pretraining on Arabic-English code-switched emoji pragmatics (macro F1 0.85 vs 0.52). Both are rated low reproducibility (mean 20), with verdicts citing timeline contradictions, table errors, and inconsistencies.

Collaboration pattern

Collaboration is modest (score 41): 7 distinct coauthors across the recent three-year window that produced 30 works, implying mostly small teams. The frequent-coauthor list contains the person name Fahad Al Hussen alongside affiliation strings for King Saud University (Riyadh, Saudi Arabia) and Ibb University (Ibb, Yemen), which suggests affiliation metadata mixed into the co-author field. In the two reviewed 2026 papers he signs as last author and as a middle author, neither time as corresponding author.

Research keywords

Arabic natural language processingComputational sociolinguisticsArabic diglossiaDigital discourse on social mediaDomain-specific pretrainingPretrained transformers (MARBERT, XLM-R)Arabic-English code-switchingEmoji and digital pragmaticsTopic modelingCorpus linguisticsEFL/ESL teaching and learningTranslation studies and practices

Highlights

Timeline

  1. 2015Earliest recorded output in the OpenAlex counts-by-year series: 1 work, followed by a long quiet stretch in the available record.
  2. 2023Recorded output resumes with 2 works, marking the start of the recent publishing ramp visible in the counts-by-year data.
  3. 2025Output accelerates to 6 works as the record shifts toward Arabic NLP and computational sociolinguistics topics.
  4. 2026Peak year so far with 24 recorded works; two arXiv preprints enter the Evolve catalog — the X/Facebook diglossia study and the MARBERT/XLM-R pretraining comparison.

Papers in the Evolve catalog

Frequent co-authors

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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 signals are computed from OpenAlex records only (identity: openalex); no ORCID is available, so this profile is name-resolved from public bibliographic data.
  • Citation evidence is minimal (h-index 1, i10-index 0), so the output and impact dimensions are left unscored rather than estimated.
  • Both catalog papers are 2026 arXiv preprints; peer-review status and final publication venues are not reflected in the data.
  • The frequent-coauthor list mixes affiliation strings (King Saud University, Ibb University) with person names, so the coauthor count of 7 may be noisy.
Mohammed Q. Shormani — Researcher Profile | Evolve.Pub