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Algeria · Research intelligence

Université Larbi Tébessi

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

ITS Research Score55.0
Global research rank#6,463
Country rank#44
Momentum rank#2,518
Impact Score41.9

Research performance overview

Université Larbi Tébessi 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 2,207 research works and 7,778 citations. Its current h-index is 79, while the five-year trend shows strong expansion in publication activity. It currently places #6,463 in the ITS global research-performance ranking. Within Algeria, its current research-performance position is #44.

Five-year research output and impact

Research works, 5 years2,207
Citations, 5 years7,778
H-index79
i10-index1,534
Publication growth63.6%
Citation growth-58.5%

Recent citation volume is approximately 3.5 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
20103844910
20114959516
20127075426
20138194525
2014831,28233
20151101,53653
20161492,69545
20172153,84186
20182554,23396
20192444,307108
20203095,316169
20213502,920153
20222862,034155
20233671,899248
20244862,211278
20255121,508293
2026556126398

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

Chaos control and synchronizationFractional Differential Equations SolutionsNonlinear Dynamics and Pattern FormationStability and Controllability of Differential EquationsLepidoptera: Biology and TaxonomyNonlinear Differential Equations AnalysisQuantum chaos and dynamical systemsQuantum Mechanics and Non-Hermitian PhysicsGeological and Geophysical Studies WorldwideBlack Holes and Theoretical Physics

The strongest topic signals currently associated with Université Larbi Tébessi include Chaos control and synchronization, Fractional Differential Equations Solutions and Nonlinear Dynamics and Pattern Formation. 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. Université Larbi Tébessi is currently above that research-output average and above the citation average. Its own growth signal is 63.6%, compared with a country-set average of 23.8%.

Deep research intelligence

Research Impact Score42
Open-access share61.6%
International collaboration53.4%
Research diversity signal99.0/100
Global percentile51.8th
Country percentile36.8th

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 · 2,158 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: I4210095290
  • ROR ID: 00tnac320
  • Last synchronized: 2026-09-09 18:15:54

Frequently asked questions

What is the research score for Université Larbi Tébessi?

The current ITS Research Performance Score is 55.0 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 Université Larbi Tébessi?

The current local five-year window contains 2,207 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.