Roberto J. Bayardo
- Artificial Intelligence top 0.5%
- Information Systems top 0.1%
- Computational Theory and Mathematics top 0.2%
- Signal Processing top 0.5%
- Computer Networks and Communications top 1%
- Co-authors
- Rakesh AgrawalRobert SchragRamakrishnan SrikantYiming MaDimitrios GunopulosR. K. AgrawalSugato BasuDaniel P. Miranker
- Topics
- Data Mining Algorithms and Applications (11 papers)Rough Sets and Fuzzy Logic (7 papers)Data Management and Algorithms (7 papers)
- Partner nations
- United States
In The Last Decade
Roberto J. Bayardo
35 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 2.6k
- Information Systems 2.3k
- Computational Theory and Mathematics 1.4k
- Signal Processing 1.1k
- Computer Networks and Communications 1.1k
Countries citing papers authored by Roberto J. Bayardo
This map shows the geographic impact of Roberto J. Bayardo'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 Roberto J. Bayardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto J. Bayardo more than expected).
Fields of papers citing papers by Roberto J. Bayardo
This network shows the impact of papers produced by Roberto J. Bayardo. 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 Roberto J. Bayardo. The network helps show where Roberto J. Bayardo may publish in the future.
Co-authorship network of co-authors of Roberto J. Bayardo
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto J. Bayardo. A scholar is included among the top collaborators of Roberto J. Bayardo 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 Roberto J. Bayardo. Roberto J. Bayardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Allocation of Advertisement Extensions & Formats | 1 |
| 2 | 7 | |
| 3 | 27 | |
| 4 | 81 | |
| 5 | 2 | |
| 6 | Data Privacy through Optimal k-Anonymizationbreakdown → | 687 |
| 7 | Peer-to-Peer Sharing of Web Applications | 4 |
| 8 | 16 | |
| 9 | 2 | |
| 10 | Counting Models Using Connected Components | 99 |
| 11 | Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining | 8 |
| 12 | Regular Paper Constraint-Based Rule Mining in Large, Dense Databases | 3 |
| 13 | 144 | |
| 14 | 212 | |
| 15 | 409 | |
| 16 | 253 | |
| 17 | Using CSP look-back techniques to solve real-world SAT instances | 320 |
| 18 | 30 | |
| 19 | A complexity analysis of space-bounded learning algorithms for the constraint satisfaction problem | 52 |
| 20 | On the space-time trade-off in solving constraint satisfaction problems | 27 |
About Roberto J. Bayardo
Roberto J. Bayardo is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing, having authored 35 papers that have together received 4.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Signal Processing (1.1k citations), Information Systems (2.3k citations) and Computational Theory and Mathematics (1.4k citations). Roberto J. Bayardo has collaborated with scholars based in United States. Frequent co-authors include Rakesh Agrawal, Robert Schrag, Ramakrishnan Srikant, Yiming Ma, Dimitrios Gunopulos, R. K. Agrawal, Sugato Basu, Daniel P. Miranker, Robert L. Grossman and Biswanath Panda. Their work appears in journals such as Artificial Intelligence, Computer and Computer Networks.
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.