NLP and human-AI interaction researcher: topic modeling, emotion-aware dialogue, and AI-assisted everyday tasks
2
papers here
1
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
5
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-28) 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—
An output score is not yet available: the snapshot lacks a complete publication record for this name-resolved profile. This axis would measure total works, productivity trajectory, and first-author share, and is left unscored rather than estimated.
Impact—
Impact cannot be scored yet because citation aggregation is incomplete for this profile, even though raw indicators report h-index 5 and i10-index 5. This axis would measure total citations, citation velocity, and influence on follow-up work, and remains unscored.
Focus100/100
Focus scores at the maximum (100), reflecting research concentrated almost entirely in language-centered work. OpenAlex topic counts show topic modeling leading with 12 works, followed by natural language processing techniques, misinformation, and hate speech detection at 5 each, and explainable AI at 4, with the single classified field being human-AI interaction — a tightly clustered, low-scatter research identity.
Collaboration51/100
Collaboration is mid-range (51). The recent record lists 12 distinct coauthors across 15 works in the last three years, and the frequent-coauthor list includes senior NLP researchers such as Kathleen McKeown, Julia Hirschberg, and Ellie Pavlick. The pattern suggests steady participation in group-authored projects rather than a large, independently maintained network.
Activity81/100
Activity scores high (81). Annual counts show 1 work in 2017 and 2020, rising to 4 in 2022, 6 in 2023, and 4 in 2024, before peaking at 7 in 2025 with 4 recorded in 2026 so far — 15 works over the last three years, indicating a clearly accelerating publication cadence.
Reproducibility55/100
Reproducibility is moderate (55), based on a mean readiness score of 55 across 1 assessed paper. Evolve's review of the crisis-counseling study notes a local LLM pipeline but thin validation and mostly descriptive statistics (low readiness), while the ownership survey is rated medium. Broader artifact-sharing practice cannot be assessed from current data.
Research summary
Melanie Subbiah is a researcher profiled from OpenAlex bibliographic data, working where natural language processing meets human-AI interaction. The topic profile is tightly concentrated: topic modeling leads with 12 works, followed by NLP techniques, misinformation, and hate speech detection (5 works each) and explainable AI (4). Recent cataloged work extends into affective computing and mental-health NLP. Empath (2026) traces emotion dynamics at three granularities in crisis counseling dialogues using a local LLM pipeline, which Evolve finds insightful while flagging thin validation and mostly descriptive statistics. A second 2026 study, an exploratory survey of 64 participants, examines psychological ownership in AI-assisted everyday tasks, finding it hinges on process, voice, and comprehension. Publication activity is high (81): 15 works in the last three years, peaking at 7 in 2025, with h-index 5 and i10-index 5. Collaboration is mid-range (51) across 12 distinct recent coauthors, and focus scores at the maximum (100), marking a strongly clustered research identity.
Collaboration pattern
Melanie Subbiah's collaboration footprint is moderate: 12 distinct coauthors across the last three years and a mid-range collaboration score of 51. The recurring coauthor list spans NLP and HCI-adjacent researchers — including Kathleen McKeown, Julia Hirschberg, Ellie Pavlick, Nicholas Deas, and Ziwei Gong — consistent with contributions to group-run projects across topic modeling, dialogue, and mental-health NLP. Both reviewed 2026 papers are middle-authored rather than corresponding-author works.
Research keywords
Highlights
Empath: tracing multi-level emotion dynamics in crisis counseling dialogues
Psychological ownership in AI-assisted everyday tasks
Timeline
- 2017Earliest publication record in the OpenAlex snapshot: 1 work
- 20201 work recorded in the bibliometric record
- 2022Output builds to 4 works
- 20236 works, the strongest year to that point
- 20257 works, the most productive year in the record; 15 works over the last three years
- 20264 works recorded so far, including two Evolve-reviewed papers: Empath on crisis-counseling emotion dynamics, and the survey on ownership in AI-assisted tasks
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.
- Bibliometrics are computed from a single OpenAlex snapshot; no ORCID or institutional affiliation is verified, so this profile is name-resolved from public bibliographic data.
- Output and impact dimensions are unscored because the underlying publication and citation records are incomplete in the snapshot.
- Only two Evolve-reviewed papers (both 2026 arXiv) are available, so the reproducibility axis rests on a single assessed paper.
- Institution and country are not part of the input data and are therefore omitted.