Research performance overview
Novosibirsk State University is an education institution in Russia 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 11,406 research works and 72,156 citations. Its current h-index is 375, while the five-year trend shows a contraction in recent publication activity. It currently places #1,744 in the ITS global research-performance ranking. Within Russia, its current research-performance position is #11.
Five-year research output and impact
Recent citation volume is approximately 6.3 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
| Year | Works | Citations to that year’s papers | Open-access works |
|---|---|---|---|
| 2010 | 730 | 12,945 | 157 |
| 2011 | 898 | 14,645 | 182 |
| 2012 | 1,037 | 38,368 | 344 |
| 2013 | 1,256 | 31,863 | 426 |
| 2014 | 1,877 | 42,942 | 653 |
| 2015 | 2,309 | 50,753 | 743 |
| 2016 | 2,793 | 56,639 | 1,017 |
| 2017 | 2,942 | 54,331 | 1,206 |
| 2018 | 3,013 | 62,623 | 1,285 |
| 2019 | 3,587 | 54,497 | 1,797 |
| 2020 | 3,410 | 50,255 | 1,814 |
| 2021 | 2,929 | 29,373 | 1,706 |
| 2022 | 2,269 | 24,382 | 1,329 |
| 2023 | 2,321 | 10,114 | 1,261 |
| 2024 | 2,111 | 6,321 | 1,093 |
| 2025 | 1,776 | 1,966 | 932 |
| 2026 | 1,086 | 151 | 636 |
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, so recent years always show fewer citations than older ones.
Research strengths and leading topics
The strongest topic signals currently associated with Novosibirsk State University include Particle physics theoretical and experimental studies, Quantum Chromodynamics and Particle Interactions and High-Energy Particle Collisions Research. 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 538 index-ready universities currently available for Russia, the average five-year output is about 1,743 works and the average five-year citation count is about 6,391. Novosibirsk State University is currently above that research-output average and above the citation average. Its own growth signal is -25.2%, compared with a country-set average of -0.5%.
Deep research intelligence
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
How to interpret this university profile
ITS Research Solution treats this page as research intelligence rather than a prestige label. The score (ITS Research Score v3) summarizes measurable research activity over the five most recent complete calendar years: research output, citations, h-index and i10-index, citation impact per work, publication growth and international collaboration. Size still matters, so the score should be interpreted together with the trend table and topic profile. The citation impact trend compares citations per paper with the world average for papers of the same years, 2024-2025 vs 2021-2022; +10% means the newer papers are cited 10% more, relative to the world, than the older ones, and it is shown only when each period has at least 50 papers. 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: I188973947
- ROR ID: 04t2ss102
- Last synchronized: 2026-09-09 23:11:22
Frequently asked questions
What is the research score for Novosibirsk State University?
The current ITS Research Performance Score is 67.3 out of 100 (ITS Research Score v3). It combines five complete years of research output and citations, h-index, i10-index, citation impact per work, publication growth and international collaboration.
How many research works are associated with Novosibirsk State University?
The current local five-year window contains 11,406 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.