Ronald Fagin
- Artificial Intelligence top 0.05%
- Computer Networks and Communications top 0.05%
- Signal Processing top 0.05%
- Computational Theory and Mathematics top 0.05%
- Information Systems top 0.1%
- Co-authors
- Joseph Y. HalpernMoshe Y. VardiMoni NaorAmnon LotemD. SivakumarRavi KumarPhokion G. KolaitisLucian Popa
- Topics
- Advanced Database Systems and Queries (71 papers)Semantic Web and Ontologies (52 papers)Data Management and Algorithms (47 papers)
- Journals
- Proceedings of the National Academy of SciencesCommunications of the ACMInternational Journal of Computer Vision
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Ronald Fagin
160 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 8.7k
- Computer Networks and Communications 7.1k
- Signal Processing 4.9k
- Computational Theory and Mathematics 2.8k
- Information Systems 2.5k
Countries citing papers authored by Ronald Fagin
This map shows the geographic impact of Ronald Fagin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ronald Fagin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald Fagin more than expected).
Fields of papers citing papers by Ronald Fagin
This network shows the impact of papers produced by Ronald Fagin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ronald Fagin. The network helps show where Ronald Fagin may publish in the future.
Co-authorship network of co-authors of Ronald Fagin
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald Fagin. A scholar is included among the top collaborators of Ronald Fagin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ronald Fagin. Ronald Fagin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | Efficient implementation of large-scale multi-structural databases | 11 |
| 4 | Proceedings of the thirty-seventh annual ACM symposium on Theory of computing | 0 |
| 5 | Comparing top k listsbreakdown → | 487 |
| 6 | Allowing users to weight search terms | 6 |
| 7 | 57 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | An operational semantics for knowledge bases | 1 |
| 11 | 66 | |
| 12 | The expressive power of the hierarchical approach to modeling knowledge and common knowledge | 9 |
| 13 | Belief, awareness, and limited reasoning: preliminary report | 44 |
| 14 | An Internal Semantics for Modal Logic: Preliminary Report | 8 |
| 15 | 53 | |
| 16 | 10 | |
| 17 | The decomposition versus synthetic approach to relational database design | 29 |
| 18 | 79 | |
| 19 | 20 | |
| 20 | 145 |
About Ronald Fagin
Ronald Fagin is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 164 papers that have together received 14.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (71 papers), Semantic Web and Ontologies (52 papers) and Data Management and Algorithms (47 papers). The work is most often cited by research in Signal Processing (4.9k citations), Computer Networks and Communications (7.1k citations) and Artificial Intelligence (8.7k citations). Ronald Fagin has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Joseph Y. Halpern, Moshe Y. Vardi, Moni Naor, Amnon Lotem, D. Sivakumar, Ravi Kumar, Phokion G. Kolaitis, Lucian Popa, Yoram Moses and Catriel Beeri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and International Journal of Computer Vision.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.