Name-resolved profile: Sridhar Iyer, middle-author contributor to generative recommendation with semantic IDs
2
papers here
0
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
0
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-27) 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—
Not yet scored: output measures publication volume and productivity trends across venues. The snapshot shows an h-index of 0 and i10-index of 0 with a single indexed work, too sparse to characterize this researcher's output reliably.
Impact—
Not yet scored: impact tracks citation-based influence such as citation counts and h-index over time. The available snapshot records h-index 0 and i10-index 0, which reflects minimal indexed data rather than a measurable impact profile.
Focus—
Not yet scored: focus measures thematic concentration across a researcher's works. The indexed topics (fungal biology, plant electrophysiology, slime mold research) do not match the reviewed recommender-systems papers, so thematic direction cannot be reliably resolved.
Collaboration41/100
Scores 41. The OpenAlex snapshot records 7 distinct coauthors, and Evolve's catalog lists the same seven recurring names — Mengdan Zhu, Yufan Zhao, Sophie Di, Yao Zhao, Tao Di, Yulan Yan, and Liang Zhao. Both reviewed 2026 arXiv papers place this researcher in a middle author position, suggesting a stable team-based collaboration style rather than solo or corresponding-author leadership.
Activity20/100
Scores 20, reflecting a thin recent record. The OpenAlex snapshot logs only 1 work in 2024 and 1 work over the trailing three years, with no indexed output matching the two 2026 arXiv papers Evolve reviewed. This low count likely reflects incomplete author disambiguation rather than a verified halt in publishing, so the score should be read cautiously.
Reproducibility—
Not yet scored: reproducibility requires code releases, artifact availability, and dataset access, which bibliometric data here does not capture. Evolve's per-paper reviews rate both 2026 works at medium repro readiness, but no axis-level evidence exists.
Research summary
Sridhar Iyer is profiled here from public bibliographic data only; no institution, country, or ORCID is attached to this record, and the name is common enough that identity resolution should be treated as provisional. What can be said with confidence comes from two Evolve-reviewed 2026 arXiv papers in generative recommendation and information retrieval. Both place Iyer in a middle author position — neither first nor corresponding — within a stable seven-person co-author group (Mengdan Zhu, Yufan Zhao, Sophie Di, Yao Zhao, Tao Di, Yulan Yan, and Liang Zhao), and both target semantic-ID (SID) generative recommenders trained with reinforcement learning. One introduces retrieval-grounded credit assignment; the other, Evo-Rec, pairs best-of-N chain-of-thought SFT with NDCG-reward GRPO. Evolve judged both technically solid on ablations, at medium reproducibility readiness, with untested reward leakage and missing seed variance flagged. The OpenAlex snapshot behind the radar scores is thin: h-index 0, i10-index 0, one indexed work in 2024, one work in the trailing three years, and topic labels in fungal biology, plant electrophysiology, and slime-mold research that do not match the reviewed computer-science papers — a mismatch suggesting conflation or incomplete disambiguation. Collaboration scores 41 and activity 20; output, impact, focus, and reproducibility lack sufficient data to score.
Collaboration pattern
The snapshot records 7 distinct coauthors, and the same seven names recur across both reviewed 2026 papers: Mengdan Zhu, Yufan Zhao, Sophie Di, Yao Zhao, Tao Di, Yulan Yan, and Liang Zhao. Iyer sits in a middle author position on each paper, neither leading nor corresponding, consistent with a contributing member of a compact, stable recommendation-systems team rather than an independent group lead.
Research keywords
Highlights
Evo-Rec: reasoning-boosted generative recommendation
Retrieval-grounded credit assignment for semantic IDs
Timeline
- 2024OpenAlex indexes a single work for this year; the snapshot provides no further detail, and it does not correspond to either reviewed paper.
- 2026Co-authored (middle position) the arXiv preprint "Learning Better Reasoning for Generative Recommendation with Semantic IDs" (Evo-Rec), reviewed by Evolve at medium reproducibility readiness.
- 2026Co-authored (middle position) the arXiv preprint "From Interests to Semantic IDs: Retrieval-Grounded Credit Assignment for Generative Recommendation", reviewed by Evolve at medium reproducibility readiness.
Papers in the Evolve catalog
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 scores and raw counts come from an OpenAlex snapshot only (identity: openalex); no institutional or ORCID verification is attached.
- The OpenAlex record's topic labels (fungal biology, plant electrophysiology, slime mold research) conflict with the reviewed recommender-systems papers, so the record may conflate different people named Sridhar Iyer.
- Qualitative claims rest on only two papers, both 2026 arXiv preprints reviewed by Evolve; venue publication and citation history are absent.
- Collaboration and activity scores rest on very few indexed works (1 work in 2024; 1 in the trailing three years) and should be read as provisional.