Institutional positions in the ranking are determined by aggregating the D-indexes (Discipline H-index) of all ranking scholars whose principal publication area is Computer Science and who are affiliated with each institution. The D-index is a metric that incorporates only publications and citation data strictly relevant to the Computer Science discipline, thereby providing an accurate, discipline-specific indicator of scholarly impact.
Scope and Criteria of the Research
For this edition, Research.com examined a total of 279,971 scientist profiles sourced from a variety of reputable bibliometric databases. From this broader dataset, 40,471 scientists whose principal research contributions are in Computer Science were identified and analyzed. To ensure the highest standard of selectivity, the minimum qualifying D-index for inclusion was set at 30, with the majority of the researcher’s publications required to be in Computer Science.
Additional factors considered included the researcher’s awards and achievements in the field of Computer Science. To maintain the selective nature of this process, the D-index threshold for recognizing top researchers is raised in increments of 10 depending on the overall pool size within the discipline, with the aim of including the top 1% of leading scholars. Moreover, only researchers whose general H-index is within 30% proximity to their D-index are considered, ensuring that recognized impact is predominantly within Computer Science. Recognition of a scientist’s awards and significant achievements further informs the assessment process.
Verification and Validation Practices
Research.com places strong emphasis on the integrity and precision of the ranking process. Understanding the limitations of raw bibliometric data, every scientist profile included in the ranking has undergone manual verification as well as cross-correlation with publication records in a wide array of verified, trustworthy sources.
While not a direct factor in the Research.com ranking position, the number of papers published in prominent journals and leading conference proceedings provides additional valuable insight into a scientist's contribution to their field. The researcher’s position in the ranking is established based on H-index values as reported by OpenAlex and CrossRef – currently the most widely recognized bibliometric databases supporting the global research community.
To further understand the details and intricacies of our ranking methodology, we encourage readers to consult our methodology page.
Research.com Agenda and Mission
The research and editorial agenda behind the Research.com university ranking initiative is guided by a clear mission: to motivate scientists, business leaders, and policymakers worldwide to explore where the top minds are concentrating their research efforts. Our rankings are designed as a resource for the entire research community, making it possible to identify leading experts in specific disciplines, countries, and institutions. This transparency aims to stimulate collaboration, drive excellence, and inform strategic academic and institutional decisions.
Key Results of the 11th Edition Ranking
- Top three Hungarian institutions by number of leading Computer Science scholars:
- Óbuda University (2 scientists)
- University of Szeged (2 scientists)
- Budapest University of Technology and Economics (1 scientist)
- Most prominent global institutions represented by top Computer Science scholars:
- University of Montreal
- Michigan State University
- University of Oxford
- University of California, Berkeley
- University of Illinois at Urbana-Champaign
- University of Illinois at Chicago
- Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
- RWTH Aachen University
- University of Granada
- Princeton University
- World's leading Computer Science scholars featured in our ranking:
- Professor Yoshua Bengio (University of Montreal) – D-index: 223 (#1 in world)
- Anil K. Jain (Michigan State University) – D-index: 214 (#2 in world)
- Andrew Zisserman (University of Oxford) – D-index: 197 (#3 in world)
- Key average metrics in the ranking:
- Average total D-index for the top 5% universities: 3383
Against an average of 425 across all 1257 institutions ranked
- Average number of published Computer Science articles by top 5% institutions: 15,594
Versus an average of 2,216 across all universities
- Average number of citations for researchers at top 1% universities: 2,279,971
Compared to an average of 279,971 across all 1257 institutions
The 11th edition of the Research.com Computer Science Universities in Hungary Ranking underscores the prominence of Hungarian institutions in the field while positioning their achievements within the broader, competitive landscape of top institutions and scholars worldwide. The methodology combines rigorous data collection, meticulous verification, and field-specific relevance, ensuring that the ranking provides a credible, authoritative view for scientists, academic leaders, and policymakers alike.
