Investigation of Iran Universities' Scientific Publications During 2002-2006 According to Web of Science Database
Bibliographic record
Abstract
Purpose: Because of nature university is defined as one of the most important scientific centers in each country. One of the basic criteria for evaluating universities is the number of scientific publications of each university. Methodology: In this paper; first 113 universities of Iran were investigated during 2002-2006 according to the scientific publications indexed in the web of Science database. Then 30 prior universities which had the most number of publications in this database were selected for other analyses. Findings: the results of this research showed that during this period of time, (Tehran University) has had the highest number of publications among the other universities in Iran. "PHOSPHORUS SULFUR AND SILICON AND THE RELATED ELEMENTS" journal has published the most number of Iran Universities' publications. The highest numbers of Iranian publications during 2002-2006, are related to the chemistry subject category. "Articles" are the most published types of documents in ISI journals (88.23%) and English is the language goes the highest number of documents (99.91%). Iran universities have had the highest collaboration with the United States and then Canada on producing Scientific Publications.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.037 | 0.054 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".