Ronald Fagin

26.4k citations
164 papers · 14.0k indexed · 5 hit papers · h-index 58

Ronald Fagin

160 papers receiving 12.7k citations

Hit Papers

Data exchange: semantics and query answering63219952026200520152505007501000

Peers

Ronald Fagin
Comparison fields: 5 of 144
  • Signal Processing 4.9k
  • Computer Networks and Communications 7.1k
  • Artificial Intelligence 8.7k
  • Computational Theory and Mathematics 2.8k
  • Management Science and Operations Research 1.8k
Replace Jeffrey D. Ullman with:
Jeffrey D. Ullman United States
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Moni Naor Israel
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Citations per field
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Citations per year

Countries citing papers authored by Ronald Fagin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ronald Fagin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ronald Fagin Line = papers co-authored together Ronald Fagin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 201622
3
Efficient implementation of large-scale multi-structural databases
200511
4
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
20050
5
Comparing top k listsbreakdown →
2003487
6
Allowing users to weight search terms
20006
7 200057
8 200018
9 199919
10
An operational semantics for knowledge bases
19941
11 199366
12
The expressive power of the hierarchical approach to modeling knowledge and common knowledge
19929
13
Belief, awareness, and limited reasoning: preliminary report
198544
14
An Internal Semantics for Modal Logic: Preliminary Report
19858
15 198253
16 198210
17
The decomposition versus synthetic approach to relational database design
197729
18 197779
19 197720
20 1976145

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), Data Management and Algorithms (47 papers), Logic, Reasoning, and Knowledge (40 papers), Advanced Algebra and Logic (18 papers), Distributed systems and fault tolerance (17 papers), Data Quality and Management (16 papers) and Complexity and Algorithms in Graphs (13 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.

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.

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