Roberto J. Bayardo

47 total papers · 7.5k total citations
35 papers, 4.4k citations indexed

About

Roberto J. Bayardo is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Roberto J. Bayardo has authored 35 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 18 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Roberto J. Bayardo's work include Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (7 papers) and Data Management and Algorithms (7 papers). Roberto J. Bayardo is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (7 papers) and Data Management and Algorithms (7 papers). Roberto J. Bayardo collaborates with scholars based in United States. Roberto J. Bayardo's 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 and has published in prestigious journals such as Artificial Intelligence, Computer and Computer Networks.

In The Last Decade

Roberto J. Bayardo

35 papers receiving 4.0k citations

Hit Papers

Efficiently mining long p... 1998 2026 2007 2016 1998 2005 2007 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roberto J. Bayardo 2.6k 2.3k 1.4k 1.1k 1.1k 35 4.4k
Gregory Piatetsky-Shapiro 2.4k 0.9× 2.5k 1.1× 1.0k 0.7× 1.1k 1.0× 914 0.9× 52 5.0k
D. Sivakumar 2.3k 0.9× 1.4k 0.6× 1.1k 0.8× 968 0.9× 1.2k 1.1× 75 5.1k
Meichun Hsu 2.2k 0.9× 2.9k 1.3× 1.0k 0.7× 1.0k 0.9× 1.3k 1.2× 93 4.6k
Ravi Kumar 1.5k 0.6× 1.5k 0.7× 489 0.3× 642 0.6× 921 0.9× 42 3.7k
Benny Pinkas 4.7k 1.8× 2.2k 1.0× 867 0.6× 500 0.4× 1.2k 1.2× 71 5.8k
Sridhar Rajagopalan 1.8k 0.7× 2.1k 0.9× 371 0.3× 722 0.6× 1.5k 1.4× 39 4.9k
Jianyong Wang 3.7k 1.4× 3.3k 1.4× 1.3k 0.9× 1.8k 1.5× 1.3k 1.2× 143 6.2k
Gerd Stumme 2.2k 0.9× 2.1k 0.9× 897 0.6× 616 0.5× 567 0.5× 135 3.8k
Ravi Kumar 3.5k 1.4× 1.6k 0.7× 1.1k 0.8× 1.2k 1.1× 1.5k 1.4× 147 6.6k
David W. Cheung 1.7k 0.7× 1.6k 0.7× 747 0.5× 1.1k 0.9× 680 0.6× 85 3.7k

Countries citing papers authored by Roberto J. Bayardo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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