Gabriel M. Kuper
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Co-authors
- Péter RévészParis C. KanellakisMoshe Y. VardiWenfei FanMichael BenediktJeffrey D. UllmanFabio MassacciHenry F. Korth
- Topics
- Advanced Database Systems and Queries (29 papers)Data Management and Algorithms (21 papers)Semantic Web and Ontologies (14 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Gabriel M. Kuper
37 papers receiving 910 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 823
- Artificial Intelligence 694
- Signal Processing 596
- Computational Theory and Mathematics 123
- Information Systems 105
Countries citing papers authored by Gabriel M. Kuper
This map shows the geographic impact of Gabriel M. Kuper'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 Gabriel M. Kuper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel M. Kuper more than expected).
Fields of papers citing papers by Gabriel M. Kuper
This network shows the impact of papers produced by Gabriel M. Kuper. 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 Gabriel M. Kuper. The network helps show where Gabriel M. Kuper may publish in the future.
Co-authorship network of co-authors of Gabriel M. Kuper
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel M. Kuper. A scholar is included among the top collaborators of Gabriel M. Kuper 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 Gabriel M. Kuper. Gabriel M. Kuper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Query Answering over Contextualized RDF Knowledge with Forall-Existential Bridge Rules: Attaining Decidability Using Acyclicity. | 1 |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | Asking and answering queries semantically | 6 |
| 6 | 29 | |
| 7 | THE CODB ROBUST PEER-TO-PEER DATABASE SYSTEM | 11 |
| 8 | 68 | |
| 9 | 5 | |
| 10 | Tractable Recursion over Geometric Data. | 1 |
| 11 | 313 | |
| 12 | 10 | |
| 13 | 23 | |
| 14 | 1 | |
| 15 | 47 | |
| 16 | 1 | |
| 17 | Logic Programming with Sets. | 4 |
| 18 | The logical data model: a new approach to database logic | 18 |
| 19 | 8 | |
| 20 | 66 |
About Gabriel M. Kuper
Gabriel M. Kuper is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (21 papers) and Semantic Web and Ontologies (14 papers). The work is most often cited by research in Signal Processing (596 citations), Computer Networks and Communications (823 citations) and Artificial Intelligence (694 citations). Gabriel M. Kuper has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Péter Révész, Paris C. Kanellakis, Moshe Y. Vardi, Wenfei Fan, Michael Benedikt, Jeffrey D. Ullman, Fabio Massacci, Henry F. Korth, Allen Van Gelder and Joan Feigenbaum. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Knowledge and Data Engineering and Risk Analysis.
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.