Coronavirus Research Publications: A Scientometric Study of 12,612 Papers

12,612 coronavirus research publications were analyzed from the Web of Science database up to February 26, 2020. The dataset, created by Mallikarjun Kappi of Kuvempu University, includes metrics such as publication year, type, international collaboration patterns, research institutions, journals, impact factor, h-index, language, and citation counts. The United States was the largest contributor with 4,524 articles, and the total citations for the corpus reached 8,015.

Use Cases

• Analyzing international research collaboration patterns based on country-level collaboration data.
• Tracking the growth of coronavirus literature over time based on publication year data.
• Evaluating the impact of research outputs based on citation counts and h-index metrics.
• Identifying leading institutions and journals in coronavirus research based on publication counts.

Strengths

• Includes 12,612 publications with detailed scientometric analysis.
• Provides citation metrics, including a total of 8,015 citations and an h-index of 48.
• Covers publications from 25 countries/territories, indicating international scope.

Limitations

• Data collection ended on February 26, 2020, missing the vast majority of pandemic-era publications.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.

Provenance

Source

Web of Science database.

Collection Method

Search performed on February 26, 2020 for publications from 1997 to 2020; all publication types except errata were considered.

Time Range

Publications from 1997 to February 26, 2020.

Geography

Global, with publications originating from 25 countries/territories.