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Algeria · Research intelligence

Higher National Veterinary School

Research output, impact, five-year growth, topic strengths and transparent benchmarking from open scholarly metadata.

ITS Research Score56.3
Global research rank#5,960
Country rank#40
Momentum rank#1,099
Impact Score40.4

Research performance overview

Higher National Veterinary School is an education institution in Algeria represented in the ITS Research Intelligence database through OpenAlex and ROR-linked identity data. Over the most recent five-year window available locally, the institution is associated with 1,561 research works and 4,769 citations. Its current h-index is 77, while the five-year trend shows strong expansion in publication activity. It currently places #5,960 in the ITS global research-performance ranking. Within Algeria, its current research-performance position is #40.

Five-year research output and impact

Research works, 5 years1,561
Citations, 5 years4,769
H-index77
i10-index884
Publication growth126.7%
Citation growth-30.9%

Recent citation volume is approximately 3.1 citations per five-year work when the two aggregate windows are divided. This is a descriptive ratio rather than a field-normalized citation indicator, because disciplines have very different citation practices. The h-index and i10-index add longer-run visibility context, while the growth metrics show direction of travel rather than historical accumulation alone.

Research trend by year

YearWorksCitations recordedOpen-access works
2010155265
2011182579
2012254007
2013331,41319
20143753823
20155789234
2016541,12331
20176491239
20181252,90873
20191101,18475
20201291,66189
20211701,685135
2022182968128
20231811,082121
20243751,302227
20255061,326315
202631791200

The yearly series runs from 2010 to 2026 in the current local snapshot. Annual research counts should be read as a pattern rather than as an audited financial-style total: scholarly metadata is continually corrected, affiliations can be re-resolved, and citations continue to accumulate after publication.

Research strengths and leading topics

Animal Diversity and Health StudiesVector-Borne Animal DiseasesEssential Oils and Antimicrobial ActivityParasitic Infections and DiagnosticsViral Infections and VectorsRabbits: Nutrition, Reproduction, HealthVector-borne infectious diseasesAgriculture and Rural Development ResearchInsect Pest Control StrategiesMilk Quality and Mastitis in Dairy Cows

The strongest topic signals currently associated with Higher National Veterinary School include Animal Diversity and Health Studies, Vector-Borne Animal Diseases and Essential Oils and Antimicrobial Activity. Topic lists are useful for understanding where an institution is visibly active, but they are not equivalent to a complete departmental census because OpenAlex topics are inferred from the institution’s works rather than from its administrative structure.

National benchmark

Among the 69 index-ready universities currently available for Algeria, the average five-year output is about 1,830 works and the average five-year citation count is about 7,427. Higher National Veterinary School is currently below that research-output average and below the citation average. Its own growth signal is 126.7%, compared with a country-set average of 23.8%.

Deep research intelligence

Research Impact Score40
Open-access share59.9%
International collaboration48.8%
Research diversity signal99.2/100
Global percentile55.5th
Country percentile42.6th

Deep metrics extend the institution profile with compact work-level aggregates. International collaboration is the share of recent works with authors from more than one country. Open-access share comes from the five-year OpenAlex yearly series. The diversity signal summarizes the distribution of leading topic signals and should not be interpreted as an administrative measure of how many departments the institution operates.

Leading international research partner countries

Algeria · 1,433 works

How to interpret this university profile

ITS Research Solution treats this page as research intelligence rather than a prestige label. The score is designed to summarize measurable research activity using recent output, recent citations, h-index, i10-index and five-year publication growth. Size still matters, so the score should be interpreted together with the trend table and topic profile. A smaller institution with strong momentum can therefore look different from a large institution with a much longer publication history.

Rankings are recalculated from the local analytical database after OpenAlex synchronization. The public page is indexable only when the institution has enough recent research activity, at least five active years in the available trend window, and multiple topic signals. This quality gate prevents empty or minimally populated institution records from becoming search-engine pages.

Data sources and verification

The institution identity is linked to the Research Organization Registry (ROR) through the ROR identifier supplied by OpenAlex. Research counts, citation totals, yearly activity, h-index, i10-index and topic signals come from OpenAlex. OpenAlex institution records are themselves grounded in ROR for canonical institution identity. Data can change as scholarly records, affiliations and citation links are corrected, so the page records the latest local synchronization time rather than presenting the figures as permanent.

  • OpenAlex institution ID: I3133097027
  • ROR ID: 02jk75847
  • Last synchronized: 2026-09-09 18:15:51

Frequently asked questions

What is the research score for Higher National Veterinary School?

The current ITS Research Performance Score is 56.3 out of 100. It combines recent publication output, citations, h-index, i10-index and five-year publication growth.

How many research works are associated with Higher National Veterinary School?

The current local five-year window contains 1,561 works associated with the institution in OpenAlex.

Is this an official university ranking?

No. This is an independent ITS Research Solution research-performance analysis built from open scholarly metadata. It does not represent an official government or accreditation ranking.