Contribution of Jadavpur University in S&T as reflected in WoS Database during 2006-2015
Bibliographic record
Abstract
Purpose: The main purpose of this study is to assess the performance, trend and citation impact of research publications of faculty members of Jadavpur University. Design / Methodology / Approach: The present scientometric study analyses the research publications of faculty members and researchers of Jadavpur University in last 10 years from 2006 to 2015 as reflected in Web of Science (WoS) database. Findings: The study has identified 6895 articles including 1452 internationally collaborated articles with an increasing growth rate during the study period. The Polyhedron journal has been found as the most preferred journal. Maximum research articles have been published in Chemistry and allied disciplines. The citation analysis has indicated that the research articles especially with international collaboration have received good citations. The study recommended that the faculty members and researchers should select journals with high impact factor for disseminating research results. The researchers should go for more foreign collaboration for larger readership and international recognition. Originality / Value: The trend and pattern of research output would throw some light to the administrators, planners, policy makers and funding agencies to take decision in fund allocation and in developing research infrastructure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.026 | 0.071 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".