MD

Merouane Debbah

Zhejiang University of Science and Technology · United States

Unclaimed · AI-structured profileORCID OpenAlex

Wireless communications and MIMO veteran pivoting to telecom-domain LLMs, with 506 works in the last three years

2

papers here

1

reviewed by Evolve

0

first-author

0

corresponding

—

works · OpenAlex

120

h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-17) 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: 100/100FocusCollaboration: 51/100CollaborationActivity: 100/100ActivityReproducibility: 55/100Reproducibility

Output—

Not yet scored: the verified per-year publication record needed for a production-volume axis is incomplete in the current snapshot. Once reconciled, this dimension would measure total output volume and its distribution across the career timeline.

Impact—

Not yet scored: per-paper citation verification is insufficient for this axis, despite reported headline figures (h-index 120, i10 index 616). Once complete, this dimension would measure citation accumulation and influence on subsequent research.

Focus100/100

Focus scores 100. The top five topic clusters — Advanced MIMO Systems Optimization (579), Advanced Wireless Communication Technologies (448), Millimeter-Wave Propagation and Modeling (351), Advanced Wireless Communication Techniques (334), and Wireless Communication Networks Research (328) — all sit within wireless communications. The one field-tagged catalog paper falls in natural language processing / large language models, marking a deliberate, narrow pivot toward telecom-domain LLMs rather than scattered diversification.

Collaboration51/100

The collaboration axis scores 51. The snapshot captures 12 distinct coauthors, and Evolve lists a recurring circle including Hatim Chergui, Mehdi Bennis, Chongwen Huang, and Zhaoyang Zhang. Both reviewed 2026 papers are large-team efforts with Debbah in the last author position rather than corresponding author, consistent with a senior supervisory role. The mid-range score likely reflects limited co-author coverage in the current record rather than an absence of partners.

Activity100/100

Activity is scored at the maximum, 100, and the raw counts justify it: 506 works in the last three years, with yearly output rising from 51 (2020) and 93 (2023) to 136 (2024), 183 (2025), and 187 already in 2026 — the strongest recent stretch in a record reaching back to 1981. Both Evolve-reviewed papers appeared in 2026, confirming this is a live, accelerating pace rather than a backlog effect.

Reproducibility55/100

Reproducibility averages 55 across the one paper scored so far. TelecomGPT-R1 is rated medium — its post-training pipeline (RLVR, DAPO, chain-of-thought distillation) is described with solid ablations, though contamination and evaluation-setting caveats persist. Agents That Model Agents is rated low, its cellular-sheaf theory-of-mind framework offering compelling mathematics but thin, single-cell empirical evidence. With only one scored paper, treat this as a provisional signal.

Research summary

Merouane Debbah, listed at Zhejiang University of Science and Technology, is profiled here from public OpenAlex bibliographic data. The record shows a career-long concentration in wireless communications: the five largest topic clusters are Advanced MIMO Systems Optimization (579), Advanced Wireless Communication Technologies (448), Millimeter-Wave Propagation and Modeling (351), Advanced Wireless Communication Techniques (334), and Wireless Communication Networks Research (328). Reported indicators are unusually high — an h-index of 120 and an i10 index of 616 — while yearly output climbs steeply in the recent window: 51 works in 2020, 93 in 2023, 136 in 2024, 183 in 2025, and 187 already in 2026, for 506 works over the last three years. Evolve has reviewed two 2026 arXiv papers with Debbah as last author: TelecomGPT-R1, a unified post-training pipeline for telecom reasoning reporting 89.6% mean on GSMA Open Telco, and Agents That Model Agents, a sheaf- and theory-of-mind framework for LLM agent societies in 6G RAN. Both signal a pivot from classical MIMO theory toward telecom-domain large language models and multi-agent AI. The output and impact axes remain unscored pending verified per-paper citation data; the reproducibility mean of 55 rests on a single assessed paper.

Collaboration pattern

Within the snapshot Debbah shows 12 distinct coauthors, and Evolve's frequent-coauthor list is anchored by long-standing wireless collaborators — Hatim Chergui, Carolina Fernández-Martínez, Mehdi Bennis, Chongwen Huang, and Zhaoyang Zhang — alongside newer LLM-era names such as Yongliang Shen. On both 2026 catalog papers he is the last author, not corresponding, consistent with senior supervision of large joint teams spanning wireless and AI groups. The collaboration score of 51 reflects the limited 12-coauthor coverage in the current record.

Research keywords

MIMO systems optimizationMillimeter-wave propagation and modelingWireless communication networks6G networksO-RANLLM post-trainingReinforcement learning with verifiable rewardsDomain-specific telecom LLMsLLM agentsTheory of mindChain-of-thought distillationTrust calibration

Highlights

Timeline

  1. 1981Earliest works in the OpenAlex record appear this year (2 works recorded); the bibliographic trail reaches back to this date.
  2. 2010An earlier peak of the record: 116 works recorded in a single year.
  3. 2023Output climbs to 93 works, beginning the recent acceleration.
  4. 2024136 works recorded, up from 93 the year before.
  5. 2025183 works recorded, the highest full-year total in the record.
  6. 2026187 works already recorded this year; both Evolve-reviewed papers — TelecomGPT-R1 and Agents That Model Agents — appear on arXiv.

Papers in the Evolve catalog

Frequent co-authors

Is this you? Claim this profile

Enter the email you published with. We'll send a one-time claim link; after claiming you can edit the introduction or hide this page. Requests from a mismatched address go to manual review.

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 (h-index 120, i10 index 616, per-year counts, topics) come from an OpenAlex-derived snapshot; per-paper citation records are incomplete, so the output and impact axes are unscored.
  • Profile is name-resolved from public bibliographic data (identity: openalex); the record's long span back to 1981 may include name-collision entries, and the listed country reads 'US' while the affiliation is Zhejiang University of Science and Technology.
  • The reproducibility mean of 55 is based on a single scored paper; both reviewed works are 2026 arXiv preprints and were not peer-reviewed at review time.
  • The collaboration score reflects only the 12 distinct coauthors captured in the snapshot, not the full co-author network.
Merouane Debbah — Researcher Profile | Evolve.Pub