General information

Organisation type
University
ROR
028g18b61 opens in a new tab

Research metrics

The calculation window differs from metric to metric: some cover the reporting year, others the whole history of the organisation. Which is which is set out in “Where these numbers come from” below. Recalculation is scheduled, once a day at night.

No data for 11 metrics Average KZ-SJR, Publications, Citations, Average Impact Factor, h-index and 6 more Show how they are calculated Collapse the list

These values have not been calculated for this university yet. How each metric is calculated and what data it needs:

  • Average KZ-SJR

    Average KZ-SJR across the university's journals; used in the university ranking.

    Methodology : Average KZ-SJR

  • Publications

    Number of the university's publications in the reporting year — articles with at least one author affiliated with the university in that year. Each article counts once; removed records and articles whose publication year is only estimated are excluded. An absolute count: it is not divided by staff size.

    Methodology : Publications

  • Citations

    Total citations received by all of the university's publications over the period.

    Methodology : Citations

  • Average Impact Factor

    Average Impact Factor across the university's publications.

    Methodology : Average Impact Factor

  • h-index

    The largest number h such that h publications have each been cited at least h times.

    Methodology : h-index

  • Q1 share

    Share of the university's publications that appear in Q1 journals of their subject subfield.

    Methodology : Q1 share

  • International co-authorship

    Share of publications with at least one foreign-affiliated co-author (P_intl ÷ P_total × 100). Source: Crossref/OpenAlex affiliations.

    Methodology : International co-authorship

  • Inter-university collaboration

    Share of the university's publications for the reporting year that have a co-author affiliated that same year with another Kazakhstani university. Advisory indicator: it does not enter the ranking's final score.

    Methodology : Inter-university collaboration

  • Partner universities

    Number of distinct other Kazakhstani universities that co-authored with the institution in the reporting year's publications — the breadth of collaboration. Advisory indicator: it does not enter the ranking's final score.

    Methodology : Partner universities

  • Citations per researcher

    Total citations to the university's articles divided by its staff headcount (citations per researcher). Computed only when the administrator-entered staff count is known; universities without it are not ranked on this lens rather than scored as zero.

    Methodology : Citations per researcher

  • Grant activity

    Composite of grant activity: funding volume (weight 0.5), grants won (0.3), active grants (0.2). Each component is normalised across all organisations; a component left blank is dropped and the remaining weights are renormalised. An entered zero is data and does take part in the calculation.

    Methodology : Grant activity

Grant activity

No data

Methodology

Where these numbers come from

Not a single number on this page was entered by hand at random. Each one is collected from external sources, matched by identifiers, verified and computed by a fixed formula. An organisation brings a difficulty a journal does not: the same affiliation is written a dozen different ways across sources. Below is the whole path, including what we do not know and where we get it wrong.

Sources

A university’s metrics are collected from external databases and from data the university itself submits. Each source is enabled separately and has its own harvesting schedule:

  • OpenAlex — publications, citations, affiliations
  • Crossref — article metadata and reference lists
  • ORCID — researchers and their achievements
  • ROR — the registry of organisations
  • University-supplied data — staff headcount and grants

Some details do not come from harvesting: editorial offices fill in individual fields, administrators enter and correct data, and file upload is supported. Such records go through the same matching and confidence rules, but do not count as an external source.

Calculation window

The h-index covers the organisation’s entire history; publications, citations, the Q1 share, international co-authorship and grant activity cover the calculation year. The scheduled recomputation runs once a day during the night hours, and public values do not change between runs.

Verification

Affiliations are matched by the organisation identifier and, where there is none, by the normalised name; duplicate organisations are merged rather than discarded. Every record gets a confidence score from 0 to 100, and records below the threshold do not enter the metric calculation.

Manual corrections

Staff headcount and grant components are entered by the university’s administrator. The platform’s editors may correct a computed value when the source data is plainly wrong; such a value is always flagged, and the flag is shown next to it.

The data path

Five steps from someone else’s record of an article to the number on this page. Step two is where organisations go wrong most often.

  1. 1

    Harvesting. Records of articles, references, authors and organisations are pulled from external sources on a schedule. The source of every record is stored with it.

  2. 2

    Resolving affiliations. An affiliation string is matched to an organisation by identifier and, where there is none, by the normalised name in three languages. Unresolved strings are queued rather than attributed to a similar organisation.

  3. 3

    Normalisation. Subjects, author names and organisation names are mapped onto the reference lists. The Kazakh, Russian and English forms of a name are linked to one another.

  4. 4

    Scoring. Every record gets a confidence score from 0 to 100 based on field completeness, agreement between sources and the age of the record. Below the threshold a record does not enter the calculation.

  5. 5

    Computation. The metrics are normalised across the cohort of universities and combined into a score using the weights in the table below. The result is published together with its calculation window, sources and confidence.

Weights of the final score

The same thing that opens under “How it is calculated” on each metric, gathered into one table. The weights are fixed: recomputing with new weights counts as a new edition of the methodology and is dated. A metric that could not be computed for an organisation is dropped along with its weight and the rest are renormalised — it is not replaced by a zero.

Metrics behind the final score: what exactly is counted and the weight
Metric What exactly is counted Weight
Average KZ-SJR The mean KZ-SJR of the journals the university’s articles appeared in, weighted by the number of articles 22
h-index The largest h for which there are h publications cited at least h times each 18
Q1 share The share of articles published in first-quartile journals of their field in the year of publication 13
Citations References to the organisation’s articles, excluding those coming from retracted works 12
Publications Articles carrying the organisation’s affiliation, after duplicates are removed 8
Average Impact Factor The mean impact factor of the journals the articles appeared in, weighted by the number of articles 8
Citations per researcher Citations divided by the staff headcount; without a headcount it is not computed 8
Grant activity Funding 0.5, grants won 0.3, active grants 0.2, with renormalisation 6
International co-authorship The share of articles whose affiliations include an organisation outside Kazakhstan 5

The data quality behind every number

Confidence is a service score of our data about an object, not an expert judgement of the object itself. A low value means the sources disagree with each other, mandatory fields or identifiers are missing, or the data came from a low-trust source.

The platform reconciles differences between sources regularly: critical fields and the metrics that form the ranking at least once a week, less sensitive reference data at least once a month. A small discrepancy is only logged; a significant one creates a manual review task with an assigned owner.

You can report an error in the data through the feedback form: the request enters the tracking system and is followed through to a reply to the person who sent it.

Full methodology Report a data issue

The methodology changes by versions: each has an effective date, and earlier values are never rewritten retroactively.

Specialization areas

Specialization: Not yet confirmed

Based on 23 classified publications

Engineering

5 publications Confidence: 98 out of 100

Correct the name

Social Sciences

4 publications Confidence: 87 out of 100

Correct the name

Materials Science

3 publications Confidence: 72 out of 100

Correct the name

Business, Management and Accounting

3 publications Confidence: 71 out of 100

Correct the name

Medicine

2 publications Confidence: 79 out of 100

Correct the name

Environmental Science

2 publications Confidence: 68 out of 100

Correct the name

Nursing

1 publication Confidence: 76 out of 100

Correct the name

Health Professions

1 publication Confidence: 88 out of 100

Correct the name

Agricultural and Biological Sciences

1 publication Confidence: 97 out of 100

Correct the name

Decision Sciences

1 publication Confidence: 100 out of 100

Correct the name

Leading researchers

Researchers the organisation’s administrator marked as recommended come first; the rest follow by h-index. Achievements are collected from ORCID and OpenAlex, each with its own confidence score.

  • Peter O’Connor

    h-index: 1 ORCID

    Achievements

    • h-index: 34 OpenAlex Confidence: 60 out of 100
    • i10-index: 73 OpenAlex Confidence: 60 out of 100
    • 2-year mean citedness: 5.71 OpenAlex Confidence: 60 out of 100
    • Total citations: 6,410 OpenAlex Confidence: 60 out of 100
    • Works count: 148 OpenAlex Confidence: 60 out of 100

    Key publications

    • Destination experience and design: impacts on visitor satisfaction, engagement, and revisit intention Confidence: 60 out of 100
    • Determinants of Success in Online Travel: Examining the Effect of a Comprehensive Higher-Order Model on e-Service Quality on Loyalty and Customers’ Citizenship Behavior Confidence: 60 out of 100
    • A Digital Distribution Assessment Framework for Small and Medium Sized Tourism Businesses Confidence: 60 out of 100
    • Embrace, Embed, Exit: Why ICTs Thrive or Die in Small and Medium-Sized Tourism Enterprises (SMTEs) Confidence: 60 out of 100
    • Online Travel Agency Participation: An Empirical Investigation of Its Financial Contribution to U.S. Hotel Profitability Confidence: 60 out of 100
    • Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges Cited 383 times Confidence: 60 out of 100
    • Managing a Hotel's Image on TripAdvisor Cited 526 times Confidence: 60 out of 100
    • Examining the effect of novelty seeking, satisfaction, and destination image on tourists’ return pattern: A two factor, non-linear latent growth model Cited 507 times Confidence: 60 out of 100
    • User-Generated Content and Travel: A Case Study on Tripadvisor.Com Cited 382 times Confidence: 60 out of 100
    • Information Communication Technology Revolutionizing Tourism Cited 454 times Confidence: 60 out of 100

  • Azmeraw T. Amare

    h-index: 1 ORCID

    Achievements

    • Member — International Society of Psychiatric Genetics (ISPG) (2017) Membership ORCID Confidence: 60 out of 100
    • h-index: 64 OpenAlex Confidence: 60 out of 100
    • i10-index: 100 OpenAlex Confidence: 60 out of 100
    • 2-year mean citedness: 202.09 OpenAlex Confidence: 60 out of 100
    • Total citations: 128,357 OpenAlex Confidence: 60 out of 100
    • Works count: 174 OpenAlex Confidence: 60 out of 100

    Key publications

    • Ten-year analysis of the proportion of public sector mental health service consumers with a diagnosis of borderline personality disorder Confidence: 60 out of 100
    • Associations and interaction effects of socioeconomic, lifestyle, and genetic factors on intrinsic capacity Confidence: 60 out of 100
    • Development of a Multi-Trait Polygenic Score for Intrinsic Capacity Confidence: 60 out of 100
    • Using multi-trait polygenic scores to predict lithium responsiveness in patients with bipolar disorder Confidence: 60 out of 100
    • Associations and Interaction Effects of Socioeconomic, Lifestyle, and Genetic Factors on Intrinsic Capacity Confidence: 60 out of 100
    • Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 Cited 13,863 times Confidence: 60 out of 100
    • Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 Cited 8,597 times Confidence: 60 out of 100
    • Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 Cited 13,221 times Confidence: 60 out of 100
    • Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 Cited 7,699 times Confidence: 60 out of 100
    • Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 Cited 7,252 times Confidence: 60 out of 100

  • Jun Ma

    h-index: 1 ORCID

    Achievements

    • h-index: 0 OpenAlex Confidence: 60 out of 100
    • i10-index: 0 OpenAlex Confidence: 60 out of 100
    • 2-year mean citedness: 0.00 OpenAlex Confidence: 60 out of 100
    • Total citations: 0 OpenAlex Confidence: 60 out of 100
    • Works count: 1 OpenAlex Confidence: 60 out of 100
    • h-index: 70 OpenAlex Confidence: 60 out of 100
    • i10-index: 227 OpenAlex Confidence: 60 out of 100
    • 2-year mean citedness: 8.28 OpenAlex Confidence: 60 out of 100
    • Total citations: 16,034 OpenAlex Confidence: 60 out of 100
    • Works count: 349 OpenAlex Confidence: 60 out of 100

    Key publications

    • Passive radiative cooling for vertical building facades: From fundamental constraints to practical strategies Confidence: 60 out of 100
    • Natural clay nanosheets and nanofibers for flame-retardant polymer composites Confidence: 60 out of 100
    • An Electrospun Purple Fabric for Personal Thermal Management Confidence: 60 out of 100
    • From materials design to real-world performance in passive radiative cooling paints Confidence: 60 out of 100
    • Morphology and interfacial control of micron-scale copper for thermally conductive thermoplastic composites Confidence: 60 out of 100
    • Morphology and interfacial control of micron-scale copper for thermally conductive thermoplastic composites Cited 0 times Confidence: 60 out of 100
    • Highly Sensitive, Wearable, Durable Strain Sensors and Stretchable Conductors Using Graphene/Silicon Rubber Composites Cited 399 times Confidence: 60 out of 100
    • Electrically and thermally conductive elastomer/graphene nanocomposites by solution mixing Cited 274 times Confidence: 60 out of 100
    • A Facile Approach to Chemically Modified Graphene and its Polymer Nanocomposites Cited 282 times Confidence: 60 out of 100
    • Epoxy/graphene platelets nanocomposites with two levels of interface strength Cited 536 times Confidence: 60 out of 100
    • Effect of inorganic nanoparticles on mechanical property, fracture toughness and toughening mechanism of two epoxy systems Cited 276 times Confidence: 60 out of 100

  • Yan Zhuge

    h-index: 0 ORCID

    Achievements

    • h-index: 0 OpenAlex Confidence: 60 out of 100
    • i10-index: 0 OpenAlex Confidence: 60 out of 100
    • 2-year mean citedness: 0.00 OpenAlex Confidence: 60 out of 100
    • Total citations: 0 OpenAlex Confidence: 60 out of 100
    • Works count: 1 OpenAlex Confidence: 60 out of 100

    Key publications

    • Axial cyclic compression behavior of concrete columns with novel FRP confined GFRP bars: Experimental investigation and theoretical analysis Confidence: 60 out of 100
    • Effects of fully recycled molybdenum tailings waste and steel fibers on the mechanical behavior and post-cracking performance of UHPC Confidence: 60 out of 100
    • Environmental and carbon footprint performance of biochar-augmented concrete: A cradle-to-gate life cycle assessment Confidence: 60 out of 100
    • Mix design and numerical modeling of cement-based self-insulating masonry blocks Confidence: 60 out of 100
    • Reaction and microstructural insights into UHPC with carbonated steel slag at different substitution ratios Confidence: 60 out of 100
    • Fatigue performance of hybrid DSTBs with GFRP reinforcement under variable-amplitude loading Cited 1 time Confidence: 60 out of 100

  • Srécko Joksimovíc

    h-index: 0 ORCID

    Achievements

    • h-index: 41 OpenAlex Confidence: 60 out of 100
    • i10-index: 84 OpenAlex Confidence: 60 out of 100
    • 2-year mean citedness: 4.60 OpenAlex Confidence: 60 out of 100
    • Total citations: 5,769 OpenAlex Confidence: 60 out of 100
    • Works count: 139 OpenAlex Confidence: 60 out of 100

    Key publications

    • Linguistic characteristics of reflective states in video annotations under different instructional conditions Confidence: 60 out of 100
    • A data-driven method for the detection of close submitters in online learning environments Confidence: 60 out of 100
    • Comprehensive analysis of discussion forum participation: from speech acts to discussion dynamics and course outcomes Confidence: 60 out of 100
    • Counting clicks is not enough: Validating a theorized model of engagement in learning analytics Confidence: 60 out of 100
    • Examining communities of inquiry in Massive Open Online Courses: The role of study strategies Confidence: 60 out of 100
    • SENS: Network analytics to combine social and cognitive perspectives of collaborative learning Cited 224 times Confidence: 60 out of 100
    • Social presence in online discussions as a process predictor of academic performance Cited 279 times Confidence: 60 out of 100
    • Analytics of communities of inquiry: Effects of learning technology use on cognitive presence in asynchronous online discussions Cited 201 times Confidence: 60 out of 100
    • Current state and future trends Cited 328 times Confidence: 60 out of 100
    • Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative Cited 298 times Confidence: 60 out of 100

  • Amanpreet Kaur

    h-index: 0 ORCID

    Achievements

    • h-index: 13 OpenAlex Confidence: 60 out of 100
    • i10-index: 13 OpenAlex Confidence: 60 out of 100
    • 2-year mean citedness: 4.33 OpenAlex Confidence: 60 out of 100
    • Total citations: 858 OpenAlex Confidence: 60 out of 100
    • Works count: 60 OpenAlex Confidence: 60 out of 100

    Key publications

    • "Everything, everywhere, all at once": the role of accounting and reporting in achieving sustainable development goals Confidence: 60 out of 100
    • “Everything, everywhere, all at once”: the role of accounting and reporting in achieving sustainable development goals Confidence: 60 out of 100
    • Being left behind: disclosure strategies to manage the Juukan Gorge cave blast Confidence: 60 out of 100
    • Public value and public sector accountability in New Zealand Confidence: 60 out of 100
    • Social media usage for sustainability reporting: a study of the Top 50 Australian companies Confidence: 60 out of 100
    • The disclosure of sustainable development goals (SDGs) by the top 50 Australian companies: substantive or symbolic legitimation? Cited 79 times Confidence: 60 out of 100
    • The use of social media as a legitimation tool for sustainability reporting Cited 90 times Confidence: 60 out of 100
    • Socially responsible investing: performance evaluation of BRICS nations Cited 71 times Confidence: 60 out of 100
    • Sustainability accounting, accountability and reporting in the public sector Cited 106 times Confidence: 60 out of 100
    • Stakeholder engagement in sustainability accounting and reporting Cited 184 times Confidence: 60 out of 100

Partners for international projects

Universities with a similar research profile, ranked with a bonus for cross-border collaboration. Advisory only.

Loading partners…

Loading recommendations…

International ranking crosswalk

This is RankScience data arranged in the structure of the international ranking — not official ranking scores.

Loading…