Eshwar Chandrasekharan

University of Illinois Urbana-Champaign · United States

Unclaimed · AI-structured profileORCID OpenAlex

HCI & social computing researcher at UIUC: trust in AI, harmful content, and human-AI decision making

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

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—

Unscored: the snapshot lacks the venue-normalized output totals this axis requires, offering only per-year work counts (47 works in the trailing three years). Output would measure publication volume and productivity relative to field and career-stage norms.

Impact—

Unscored: this snapshot provides only h-index (14) and i10-index (18), not the citation aggregates the axis needs. Impact would measure field-normalized citation influence — citations per work and percentile against peers — which cannot be estimated from current data.

Focus0/100

Focus scores 0 because the record splits evenly — 0.5 human-AI decision making versus 0.5 HCI/social computing — rather than concentrating in one labeled field. Topic counts still cohere around harmful-content and AI-ethics themes: hate speech detection (36), misinformation (27), ethics of AI (21).

Collaboration50/100

Collaboration scores 50 on the 0-100 scale. The snapshot lists 11 distinct co-authors in the recent window, and all three cataloged 2026 papers are middle-author, non-corresponding contributions. Recurring partners span social computing and human-AI interaction, including Koustuv Saha, Yian Wang, Hari Sundaram, and Dong Whi Yoo — active co-authorship without a dominant first-author signal.

Activity100/100

Activity is the strongest axis at 100. Recorded works per year climb from 1 (2015) and 3 (2017) through 7 (2019) and a steady 2-4 band (2020-2023), then jump to 11 (2024), 9 (2025), and 27 already recorded in 2026 — 47 works in the trailing three years, an unusually steep recent ramp.

Reproducibility20/100

Reproducibility scores 20 (reproMean 20) from two assessed papers, both rated low readiness. The preregistered financial-advice experiment (N=285) is judged rigorous but flagged for same-task overlap that may inflate pathway R²; the PeerPen interview study (n=15) is solid but relies on a self-selected sample.

Research summary

Eshwar Chandrasekharan is a researcher at the University of Illinois Urbana-Champaign working at the intersection of human-computer interaction, social computing, and human-AI decision making. The OpenAlex-derived snapshot (h-index 14, i10-index 18) shows a steep productivity ramp: recorded works rise from 1 in 2015 and 7 in 2019 to 11 in 2024, 9 in 2025, and 27 already in 2026, totaling 47 works over the trailing three years. Topic concentrations include hate speech and cyberbullying detection (36 works), misinformation and its impacts (27), ethics and social impacts of AI (21), expert finding and Q&A systems (11), and topic modeling (10). Evolve's catalog lists three 2026 papers, all middle-author: a preregistered experiment (N=285) showing advice style outweighs source labels in judging AI-mediated financial advice; PeerPen, an interview study (n=15) of AI-assisted writing in online mental health peer support; and a study of boundary metadata collapse in multi-agent LLM handoffs, not yet reviewed. Frequent co-authors include Koustuv Saha, Hari Sundaram, Yian Wang, and Dong Whi Yoo. Both reviewed papers carry low reproducibility readiness, and the output and impact axes remain unscored pending richer citation data.

Collaboration pattern

Collaboration is steady rather than dominant: the record lists 11 distinct recent co-authors, and all three cataloged 2026 papers are middle-author, non-corresponding contributions. Recurring partners include Koustuv Saha, Yian Wang, Agam Goyal, Hari Sundaram, Jiwon Kim, and Dong Whi Yoo, spanning social computing and human-AI interaction projects. The radar's collaboration score of 50 reflects active co-authorship without a strong first/corresponding-author signal in the cataloged sample.

Research keywords

human-AI decision makinghuman-computer interaction (HCI)social computinghate speech detectioncyberbullying detectionmisinformationethics and social impacts of AItrust in AI-mediated adviceonline mental health peer supportAI-assisted writingmulti-agent LLM systemstopic modeling

Highlights

Advice style outweighs source labels in judging AI financial advice
A preregistered experiment (N=285) finds that how AI-mediated financial advice is phrased matters more than its source label when people judge it. Evolve rates the study rigorous but cautions that same-task overlap may inflate the reported pathway R².
AI-assisted writing eases effort — and strains trust — in mental health peer support
Interviews with 15 members of online mental health communities show AI-assisted writing lowers the effort of writing peer-support posts but raises concerns about authorship and community trust; Evolve calls it a solid HCI study with a self-selected sample.
Boundary metadata collapse in multi-agent LLM handoffs
A 2026 arXiv paper examining how boundary metadata collapses during handoffs between LLM-based agents. It is a middle-author contribution that Evolve has not yet reviewed, so no verdict or reproducibility assessment is available.

Timeline

2015First work recorded in the OpenAlex snapshot (1 publication); recorded output stays sparse through 2018 (3 in 2017, 1 in 2018).
2019Recorded output rises to 7 works — the highest annual count in the record before 2024.
2022A steady mid-period band: 2 works in each of 2020 and 2021, then 4 works in each of 2022 and 2023.
2024Output accelerates to 11 recorded works, the start of a steep climb (9 in 2025).
202627 works already recorded by the October 2026 snapshot (47 in the trailing three years), including three cataloged papers on AI financial advice trust, PeerPen, and multi-agent LLM handoffs.

Papers in the Evolve catalog

Frequent co-authors

Koustuv Saha×2 Yian Wang×1 Agam Goyal×1 Hari Sundaram×1 Aryan Ramchandra Kapadia×1 Jiwon Kim×1 Sherry Gong×1 Maya Ajit×1 Soorya Ram Shimgekar×1 Yunhao Yuan×1 Dong Whi Yoo×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.

Bibliometrics are derived from the OpenAlex record only (identity: openalex), matched to ORCID 0000-0002-7473-1418; the profile is name-resolved from public bibliographic data.
The output and impact radar axes are unscored because the snapshot lacks citation aggregates beyond h-index 14 and i10-index 18.
The reproducibility score (mean 20) rests on only two assessed papers, both arXiv preprints; one further 2026 paper has no Evolve verdict yet.
2026 counts are partial-year (snapshot dated October 2026) and arXiv preprints may inflate recent output relative to peer-reviewed venue counts.