Prior work has focused on individual-level collaboration
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
Prior work has focused on individual-level collaboration and higher levels of collaboration, but the relationship between institutional type composition and scientific performance is not well understood. The study aims to fill this gap by e
Evidence profile
Sourced from the stated research gap and stated challenges of the source papers, classified as general, all from Scientometrics.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 4 representative gaps
- A framework for measuring scientific innovation integrating LLM-driven semantic reasoning and bibliometric analysis (2026) · Scientometrics · doi
Existing bibliometric indicators are effective in reflecting impact but struggle to capture intrinsic textual innovation. Prior work has relied primarily on citation analysis as a proxy for impact, but impact and novelty are fundamentally distinct. There is a need for a comprehensive and quantitative approach to identifying the degree of innovation of an individual academic paper.
generalstated research gapevidence 5/5Keywords: existing bibliometric indicators effective reflecting impact struggle capture - Crossing boundaries: institutional collaboration and its impact on scientific performance (2026) · Scientometrics · doi
The study identifies the challenge of effectively capturing the influence and recognition of a paper within a reasonable time frame. The analysis reveals that the diversity of institutional types involved in collaboration has a positive effect on citation impact, but this effect weakens as the number of institutions increases. The study highlights the need to consider the diversity of institutional types involved in collaboration.
generalstated challengesevidence 5/5Keywords: study identifies challenge effectively capturing influence recognition paper - Is field-weighted citation impact fit for purpose? Sensitivity, structural bias, and implications for global university rankings (2026) · Scientometrics · doi
The paper identifies the challenge of evaluating the behavior of FWCI at the institutional level. It highlights the challenge of isolating one specific structural factor influencing FWCI while holding all remaining sources of variation constant. The study also discusses the challenge of dealing with publications assigned to multiple subject areas, which can lead to cross-disciplinary citation norm variation.
generalstated challengesevidence 5/5Keywords: paper identifies challenge evaluating behavior fwci institutional level - Crossing boundaries: institutional collaboration and its impact on scientific performance (2026) · Scientometrics · doi
Prior work has focused on individual-level collaboration and higher levels of collaboration, but the relationship between institutional type composition and scientific performance is not well understood. The study aims to fill this gap by exploring the relationship between institutional type composition and scientific performance.
generalstated research gapevidence 4/5Keywords: prior work has focused individual-level collaboration higher levels
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