UNSW Sydney blockchain security and privacy researcher (h-index 68) expanding into LLM evaluation for clinical triage
2
papers here
1
reviewed by Evolve
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first-author
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corresponding
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works · OpenAlex
68
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—
This axis measures publication volume and productivity over time. Although raw per-year counts exist in the source snapshot, Evolve has not computed an output score for this profile yet, so none is reported here and no estimate is substituted.
Impact—
This axis would measure citation-based influence, such as aggregate citations, citing works and field-weighted impact. The composite score is missing from this snapshot, so it is reported as unscored rather than estimated from the h-index alone.
Focus100/100
A perfect focus score reflects an unusually concentrated topic profile: the OpenAlex topic model assigns 142 works to Blockchain Technology Applications and Security, then Privacy-Preserving Technologies in Data (71), Blockchain Technology in Education and Learning (67), IoT and Edge/Fog Computing (57) and Mobile Crowdsensing and Crowdsourcing (50) — five clusters all within trustworthy networked systems. The two 2026 catalog papers extend rather than break this privacy-and-security arc.
Collaboration51/100
The mid-range collaboration score (51) matches a compact recent network: 12 distinct coauthors against 108 works in the last three years indicate a stable recurring pool rather than a wide rotating one. Twelve frequent coauthors — including Ruiyi Yang, Gayathri Lihinikaduarachchi, Aditya Joshi, Rahat Masood and Flora D. Salim — anchor ongoing lines, and both 2026 catalog papers are multi-authored, with this researcher in middle and last positions.
Activity100/100
A maximal activity score is grounded in raw volume: 108 works in the most recent three-year window, with per-year OpenAlex counts peaking at 54 in 2021 and 53 in 2020 and staying high at 52 (2024), 39 (2025) and 17 in the partially complete 2026. Continuous output since 2002 sustains this trajectory.
Reproducibility55/100
The reproducibility score of 55 is a provisional mean over one assessed paper (reproPapers = 1). The reviewed triage study was rated medium repro readiness: its protocol — six LLMs scored with quadratic weighted kappa against Emergency Severity Index labels — is rigorous, but it relies mainly on LLM-generated dialogue rather than recorded clinical encounters.
Research summary
Salil S. Kanhere is a researcher at UNSW Sydney whose bibliometric record, resolved from OpenAlex under ORCID 0000-0002-1835-3475, spans continuous output from 2002 to 2026. The snapshot reports an h-index of 68 and an i10-index of 246, with 108 works in the most recent three-year window and 17 works already recorded in 2026. Topic concentration is extreme: 142 works sit in Blockchain Technology Applications and Security, followed by Privacy-Preserving Technologies in Data (71), Blockchain Technology in Education and Learning (67), IoT and Edge/Fog Computing (57) and Mobile Crowdsensing and Crowdsourcing (50). This yields perfect radar scores for activity and focus, a mid-range collaboration score (51) over 12 distinct recent coauthors, and a provisional reproducibility score (55) computed from a single assessed paper. The two Evolve-catalog papers from 2026 show a current expansion beyond the core clusters: a sequential clinical triage evaluation of six LLMs (middle author), which Evolve found methodologically rigorous while noting reliance on LLM-generated dialogue, and GuardianAgent, a policy-conditioned risk-adaptive anonymization framework (last author). Output and impact radar axes remain unscored in this snapshot and are reported as missing rather than estimated.
Collaboration pattern
The collaboration pattern is compact and stable: 12 distinct coauthors across 108 works in the last three years produce the mid-range score of 51. Twelve frequent coauthors — including Ruiyi Yang, Gayathri Lihinikaduarachchi, Aditya Joshi, Rahat Masood and Flora D. Salim — recur across research lines. Both 2026 catalog papers are multi-authored, with this researcher in middle and last positions rather than solo or corresponding roles.
Research keywords
Highlights
Six LLMs anchor on chief complaint in sequential clinical triage
GuardianAgent: policy-conditioned anonymization under adversarial escalation
A 2026 arXiv preprint with the researcher in the last author position proposes GuardianAgent, a policy-conditioned, risk-adaptive anonymization framework with verified adversarial escalation. It continues the privacy-preserving line that dominates the bibliometric topic profile. Evolve has not yet published a verdict, keywords or reproducibility assessment for this paper.
Two-decade corpus concentrated in blockchain security and privacy
The OpenAlex snapshot attributes 142 works to Blockchain Technology Applications and Security, 71 to Privacy-Preserving Technologies in Data and 67 to Blockchain Technology in Education and Learning, alongside an h-index of 68 and an i10-index of 246. This long-running, tightly clustered corpus underpins the perfect focus and activity scores in the radar.
Timeline
- 2002Earliest year in the OpenAlex counts-by-year series: 5 works recorded, starting a publication record now spanning more than two decades.
- 2018Output accelerates sharply: the annual count jumps from 17 works in 2017 to 41, opening a sustained high-volume phase.
- 2021Annual count peaks at 54 works (53 in 2020), the highest single-year figure in the series.
- 2024Output rebounds to 52 works after 45 in 2022 and 36 in 2023, remaining at a high level into 2025 (39).
- 202617 works recorded so far this year; two arXiv preprints enter the Evolve catalog — the six-LLM sequential triage evaluation (middle author) and GuardianAgent on risk-adaptive anonymization (last author).
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 figures are computed from a single OpenAlex snapshot (identity: openalex); citation and count figures may lag publication dates.
- Output and impact radar axes are unscored in this snapshot; no estimates were substituted for the missing values.
- The reproducibility score of 55 is a mean over only one assessed paper (reproPapers = 1) and should be read as provisional.
- The profile is name-resolved from public bibliographic data via ORCID 0000-0002-1835-3475; the source record lists country code BD, which conflicts with the UNSW Sydney affiliation that this profile follows.