Gregory Piatetsky-Shapiro
- Information Systems top 0.1%
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 1%
- Co-authors
- Usama M. FayyadPadhraic SmythChristopher J. MatheusCharles W. ConnellPablo TamayoPhilip K. ChanWilliam FrawleyTom Khabaza
- Topics
- Data Mining Algorithms and Applications (26 papers)Advanced Database Systems and Queries (13 papers)Data Management and Algorithms (12 papers)
- Journals
- Communications of the ACMIEEE Transactions on Knowledge and Data EngineeringACM SIGMOD Record
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Gregory Piatetsky-Shapiro
47 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Information Systems 2.5k
- Artificial Intelligence 2.4k
- Signal Processing 1.1k
- Computational Theory and Mathematics 1.0k
- Computer Networks and Communications 914
Countries citing papers authored by Gregory Piatetsky-Shapiro
This map shows the geographic impact of Gregory Piatetsky-Shapiro'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 Gregory Piatetsky-Shapiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Piatetsky-Shapiro more than expected).
Fields of papers citing papers by Gregory Piatetsky-Shapiro
This network shows the impact of papers produced by Gregory Piatetsky-Shapiro. 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 Gregory Piatetsky-Shapiro. The network helps show where Gregory Piatetsky-Shapiro may publish in the future.
Co-authorship network of co-authors of Gregory Piatetsky-Shapiro
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Piatetsky-Shapiro. A scholar is included among the top collaborators of Gregory Piatetsky-Shapiro 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 Gregory Piatetsky-Shapiro. Gregory Piatetsky-Shapiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 41 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 50 | |
| 7 | Data Mining and Knowledge Discovery: The Third Generation (Extended Abstract) | 2 |
| 8 | 2 | |
| 9 | Selecting and reporting what is interesting | 31 |
| 10 | Information Exploration Shootout. | 2 |
| 11 | From data mining to knowledge discovery: an overviewbreakdown → | 1317 |
| 12 | 13 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | Knowledge discovery in databases : papers from the 1993 AAAI Workshop ; July 11-12, Washington, D.C., Technical Report WS-93-02 | 1 |
| 17 | 147 | |
| 18 | 58 | |
| 19 | 42 | |
| 20 | 19 |
About Gregory Piatetsky-Shapiro
Gregory Piatetsky-Shapiro is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 51 papers that have together received 5.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (26 papers), Advanced Database Systems and Queries (13 papers) and Data Management and Algorithms (12 papers). The work is most often cited by research in Information Systems (2.5k citations), Signal Processing (1.1k citations) and Artificial Intelligence (2.4k citations). Gregory Piatetsky-Shapiro has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Usama M. Fayyad, Padhraic Smyth, Christopher J. Matheus, Charles W. Connell, Pablo Tamayo, Philip K. Chan, William Frawley, Tom Khabaza, Brij Masand and Evangelos Simoudis. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and ACM SIGMOD Record.
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.