Research Solutions Launches Scite Rankings: A New Standard For Measuring Research Veracity & Influence
Research Solutions (NASDAQ: RSSS) on Oct 8, 2025 launched Scite Rankings, an AI-driven global research ranking system that scores institutions, journals, and disciplines by citation context (supporting, contrasting, neutral) rather than citation volume alone.
Scite Rankings is built on Scite's Smart Citations database, which has processed more than 1.4 billion citation statements, and produces a Scite Index blending contextual citation analysis with traditional bibliometrics. Early results show notable reordering versus conventional lists (e.g., University of Michigan ranks 8th in Scite vs 47th in Times Higher Education).
Research Solutions (NASDAQ: RSSS) il 8 ottobre 2025 ha lanciato Scite Rankings, un sistema di ranking globale della ricerca guidato dall'IA che assegna punteggi a istituzioni, riviste e discipline in base al contesto delle citazioni (supporto, contrasto, neutro) invece che al solo volume di citazioni.
Scite Rankings è costruito sul database Smart Citations di Scite, che ha elaborato più di 1,4 miliardi di dichiarazioni di citazione, e produce uno Scite Index che combina l'analisi contestuale delle citazioni con la bibliometria tradizionale. I primi risultati mostrano una notevole riorganizzazione rispetto alle liste convenzionali (ad es. l'Università del Michigan è 8° in Scite contro 47° nella Times Higher Education).
Research Solutions (NASDAQ: RSSS) el 8 de octubre de 2025 lanzó Scite Rankings, un sistema global de clasificación de investigación impulsado por IA que puntúa instituciones, revistas y disciplinas por el contexto de las citas (apoyo, contraste, neutral) en lugar del volumen de citas.
Scite Rankings se basa en la base de datos Smart Citations de Scite, que ha procesado más de 1,4 mil millones de declaraciones de citación, y produce un Scite Index que combina el análisis contextual de citaciones con bibliometría tradicional. Los primeros resultados muestran un notable reordenamiento respecto a las listas convencionales (p. ej., la Universidad de Michigan ocupa el 8.º lugar en Scite frente al 47.º en Times Higher Education).
Research Solutions (NASDAQ: RSSS)가 2025년 10월 8일에 Scite Rankings를 출시했습니다. 이는 인용 맥락(지지, 대조, 중립)에 따라 기관, 저널, 분야를 점수화하는 AI 기반 글로벌 연구 순위 시스템으로, 인용 수치만으로 평가하지 않습니다.
Scite Rankings는 Scite의 Smart Citations 데이터베이스에 구축되었으며, 14억 개가 넘는 인용 진술을 처리해 왔고, 맥락적 인용 분석과 전통적 생애계측을 결합한 Scite Index를 제공합니다. 초기 결과는 기존 목록에 비해 상당한 재정렬을 보여줍니다(예: University of Michigan은 Scite에서 8위, Times Higher Education에서 47위).
Research Solutions (NASDAQ: RSSS) le 8 octobre 2025 a lancé Scite Rankings, un système de classement global de la recherche propulsé par l'IA qui évalue les institutions, les revues et les disciplines selon le contexte des citations (soutien, contraste, neutre) plutôt que le volume de citations.
Scite Rankings est basé sur la base de données Smart Citations de Scite, qui a traité plus de 1,4 milliard de déclarations de citation, et produit un Scite Index qui mêle l'analyse contextuelle des citations à la bibliométrie traditionnelle. Les premiers résultats montrent un rééquilibrage notable par rapport aux listes conventionnelles (par exemple, l'Université du Michigan est classée 8e selon Scite et 47e selon Times Higher Education).
Research Solutions (NASDAQ: RSSS) hat am 8. Oktober 2025 Scite Rankings eingeführt, ein KI-gesteuertes globales Forschungsranking-System, das Institutionen, Zeitschriften und Disziplinen nach dem Zitierkontext bewertet (unterstützend, kontrastierend, neutral) statt nur nach Zitierumfang.
Scite Rankings basiert auf Scites Smart Citations-Datenbank, die mehr als 1,4 Milliarden Zitierangaben verarbeitet hat, und erzeugt einen Scite Index, der kontextuelle Zitieranalysen mit traditioneller Bibliometrie verbindet. Erste Ergebnisse zeigen eine bemerkenswerte Neuordnung gegenüber herkömmlichen Listen (z. B. die University of Michigan rangiert auf 8. in Scite vs 47. in Times Higher Education).
Research Solutions (NASDAQ: RSSS) في 8 أكتوبر 2025 أطلق Scite Rankings، وهو نظام تصنيف بحثي عالمي مدعوم بالذكاء الاصطناعي يقيس المؤسسات والمجلات والتخصصات وفق سياق الاقتباس (داعم، متعارض، محايد) بدل الاعتماد على حجم الاقتباس فقط.
Scite Rankings مبني على قاعدة بيانات Smart Citations الخاصة بـ Scite، التي عالجت أكثر من 1.4 مليار عبارة اقتباس، ويُنتج مؤشر Scite الذي يمزج تحليل الاقتباسات في السياق مع الببليومتري التقليدي. النتائج الأولية تُظهر إعادة ترتيب ملحوظة مقارنة بالقوائم التقليدية (مثال: جامعة ميشيغان تحتل المرتبة 8 في Scite مقابل 47 في Times Higher Education).
Research Solutions (NASDAQ: RSSS) 于 2025年10月8日 启动了 Scite Rankings,这是一个由人工智能驱动的全球研究排名系统,根据引文上下文(支持、对比、中性)对机构、期刊和学科进行评分,而不仅仅是引文数量。
Scite Rankings 构建在 Scite 的 Smart Citations 数据库之上,已处理 超过14亿条引文陈述,并生成一个 Scite Index,将上下文引文分析与传统计量学相结合。初步结果显示相对于传统名单有显著的重新排序(例如,密歇根大学在 Scite 中排名第8,在 Times Higher Education 中排名第47)。
- 1.4 billion citation statements processed by Smart Citations
- Scite Index reorders institutions; University of Michigan ranks 8th in Scite
- Citation-context classification into supporting, contrasting, neutral for quality insight
- None.
Insights
Scite Rankings introduces context-aware citation metrics that could change institutional research assessment but requires method validation and adoption.
Research Solutions launches Scite Rankings, an AI-driven system that classifies citations as supporting, contrasting, or neutral and aggregates that signal into a Scite Index. The product claims a database of over 1.4 billion citation statements and positions its methodology as a corrective to volume-only measures like Impact Factor and h-index. The release links to a methodology paper on
The core business mechanism is clearer measurement of citation context to reweight influence toward reproducibility and support. This creates potential utility for universities, funders, and managers who need finer-grained assessment of research reliability. The system’s value depends on acceptance by credentialing bodies and on independent validation of the algorithmic classifications and index construction; the company points users to a methodology paper but widespread adoption is not demonstrated in the text.
Watch for independent validation studies, uptake by major ranking organizations or funders, and any disclosed metrics on coverage or classification accuracy in the near term; the methodology paper linked provides the first concrete milestone to review. Timing: initial signals of relevance should appear within months after publication of validation data and any pilot adoptions reported after
New Rankings Method Addresses Longstanding Limitation In Traditional Academic Evaluation Methods, Providing New Insight Into Research Impact & Veracity
Unlike traditional rankings that reward citation volume alone, Scite Rankings evaluates how research is cited, whether work is supported, contrasted, or simply mentioned, offering a more accurate and trustworthy measure of scientific influence across institutions, journals, and disciplines.
"For decades, research evaluation has been shaped by blunt instruments like Impact Factor and h-Index, which treat all citations equally," said Dr. Josh Nicholson, Chief Strategy Officer at Research Solutions. "Scite Rankings signals a turning point. By assessing not just how often work is cited but the quality and context of those citations, we enable universities, investors, and policymakers to make evidence-based decisions about where to direct resources and build partnerships."
At the heart of the system is Scite's Smart Citations technology, which has processed more than 1.4 billion citation statements, creating the world's largest database of contextualized citation intelligence. This sophisticated AI categorizes citations as supporting, contrasting, or neutral, revealing a detailed picture of how research is received and validated by the scientific community.
The result is the Scite Index, a next-generation metric that blends traditional bibliometrics with citation context. Early results show dramatic differences from conventional rankings. For example, while the University of
"This is more than a new ranking. It is a new lens on the reliability of science," said Sean Rife, Head of Academic Relations for Scite. "By emphasizing replicability and research reliability, we provide funders, governments, and investors with a clear line of sight into which institutions are delivering dependable research outcomes."
For researchers, Scite Rankings delivers recognition for producing high-quality, reproducible work. For investors and research managers, it creates actionable intelligence for allocating capital, shaping collaborations, and reducing risk in a market where research quality directly impacts funding and innovation pipelines.
Full details of the methodology, including validation studies, are available here: https://arxiv.org/abs/2504.05206.
Review the complete Scite Rankings database at https://scite.ai/rankings.
About Research Solutions
Research Solutions (NASDAQ: RSSS) is a vertical SaaS and AI company that simplifies research workflow for academic institutions, life science companies, and research organizations worldwide. As one of the only publisher-independent marketplaces for scientific, technical, and medical (STM) content, the company uniquely combines AI-powered tools—including an intelligent research assistant and full-text search capabilities—with seamless access to both open access and paywalled research. The platform enables organizations to discover, access, manage, and analyze scientific literature more efficiently, accelerating the pace of scientific discovery.
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For more information, visit https://www.researchsolutions.com.
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