Gregory Piatetsky-Shapiro

9.0k total citations · 3 hit papers
51 papers, 5.0k citations indexed

About

Gregory Piatetsky-Shapiro is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Gregory Piatetsky-Shapiro has authored 51 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 19 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Gregory Piatetsky-Shapiro's work include Data Mining Algorithms and Applications (26 papers), Advanced Database Systems and Queries (13 papers) and Data Management and Algorithms (12 papers). Gregory Piatetsky-Shapiro is often cited by papers focused on Data Mining Algorithms and Applications (26 papers), Advanced Database Systems and Queries (13 papers) and Data Management and Algorithms (12 papers). Gregory Piatetsky-Shapiro collaborates with scholars based in United States, Ireland and United Kingdom. Gregory Piatetsky-Shapiro's 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 and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and ACM SIGMOD Record.

In The Last Decade

Gregory Piatetsky-Shapiro

47 papers receiving 4.2k citations

Hit Papers

From data mining to knowledge discovery: an overview 1991 2026 2002 2014 1996 1996 1991 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. From data mining to knowledge discovery: an overview
    1996 1.3k citations Usama M. Fayyad, Gregory Piatetsky-Shapiro et al. Knowledge Discovery and Data Mining profile →
  2. The KDD process for extracting useful knowledge from volumes of data
    1996 1.1k citations Usama M. Fayyad, Gregory Piatetsky-Shapiro et al. Communications of the ACM profile →
  3. Discovery, Analysis, and Presentation of Strong Rules
    1991 579 citations Gregory Piatetsky-Shapiro profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory Piatetsky-Shapiro United States 23 2.5k 2.4k 1.1k 1.0k 914 51 5.0k
Meichun Hsu United States 27 2.9k 1.2× 2.2k 0.9× 1.1k 0.9× 1.0k 1.0× 1.3k 1.4× 93 4.6k
Petra Perner Germany 19 1.6k 0.6× 2.0k 0.9× 663 0.6× 620 0.6× 416 0.5× 105 4.2k
Vincenzo Loia Italy 41 1.7k 0.7× 2.9k 1.2× 713 0.6× 1.0k 1.0× 1.3k 1.5× 347 7.3k
Longbing Cao Australia 45 3.5k 1.4× 4.4k 1.8× 893 0.8× 815 0.8× 947 1.0× 361 7.8k
Tharam S. Dillon Australia 46 2.1k 0.9× 2.4k 1.0× 464 0.4× 407 0.4× 2.0k 2.2× 430 8.2k
Jaideep Srivastava United States 37 5.2k 2.1× 3.5k 1.5× 1.8k 1.6× 791 0.8× 2.8k 3.1× 319 10.3k
Shamkant B. Navathe United States 31 3.4k 1.4× 3.6k 1.5× 2.4k 2.1× 1.0k 1.0× 4.1k 4.5× 173 7.4k
Carson K. Leung Canada 39 2.0k 0.8× 2.1k 0.9× 1.2k 1.0× 614 0.6× 508 0.6× 295 4.4k
Tzung‐Pei Hong Taiwan 47 5.6k 2.3× 4.8k 2.0× 1.8k 1.6× 4.3k 4.2× 650 0.7× 538 8.5k
Philippe Fournier‐Viger China 43 4.7k 1.9× 3.5k 1.5× 1.7k 1.5× 3.1k 3.0× 677 0.7× 285 6.4k

Countries citing papers authored by Gregory Piatetsky-Shapiro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Piatetsky-Shapiro, Gregory. (2013). Comment on “A Revolution That Will Transform How We Live, Work, and Think: An Interview with the Authors of Big Data ”. Big Data. 1(4). 193–193. 1 indexed citations
2.
Piatetsky-Shapiro, Gregory. (2011). A Self-Organizing Database System: A Different Approach to Query Optimization. Arthroscopy Techniques. 5(3). e589–94. 1 indexed citations
3.
Piatetsky-Shapiro, Gregory, Tom Khabaza, & Sridhar Ramaswamy. (2003). Capturing best practice for microarray gene expression data analysis. 407–415. 19 indexed citations
4.
Fayyad, Usama M., Gregory Piatetsky-Shapiro, & Ramasamy Uthurusamy. (2003). Summary from the KDD-03 panel. ACM SIGKDD Explorations Newsletter. 5(2). 191–196. 41 indexed citations
5.
Piatetsky-Shapiro, Gregory, Tom Khabaza, & Sridhar Ramaswamy. (2003). Capturing best practice for microarray gene expression data analysis. 1 indexed citations
6.
Piatetsky-Shapiro, Gregory. (1999). The data-mining industry coming of age. IEEE Intelligent Systems and their Applications. 14(6). 32–34. 37 indexed citations
7.
Piatetsky-Shapiro, Gregory. (1997). Data Mining and Knowledge Discovery: The Third Generation (Extended Abstract). 48–49. 2 indexed citations
8.
Matheus, Christopher J., et al.. (1996). Selecting and reporting what is interesting. Knowledge Discovery and Data Mining. 495–515. 31 indexed citations
9.
Piatetsky-Shapiro, Gregory & Graham Wills. (1996). Information Exploration Shootout.. IEEE Visualization. 449–450. 2 indexed citations
10.
Fayyad, Usama M., Gregory Piatetsky-Shapiro, & Padhraic Smyth. (1996). From data mining to knowledge discovery: an overview. Knowledge Discovery and Data Mining. 1–34. 1317 indexed citations breakdown →
11.
Grinstein, Georges, et al.. (1996). Information exploration shootout or “benchmarks for information exploration” (panel). IEEE Visualization. 449–450. 2 indexed citations
12.
Fayyad, Usama M., Gregory Piatetsky-Shapiro, & Padhraic Smyth. (1996). The KDD process for extracting useful knowledge from volumes of data. Communications of the ACM. 39(11). 27–34. 1054 indexed citations breakdown →
13.
Piatetsky-Shapiro, Gregory. (1995). Knowledge Discovery in Personal Data vs. Privacy: A mini-symposium. IEEE Intelligent Systems. 10(2). 46–47. 13 indexed citations
14.
Leake, David, Wei‐Min Shen, John S. Gero, et al.. (1994). AAAI-93 Workshops: Summary Reports. AI Magazine. 15(1). 63–63. 1 indexed citations
15.
Piatetsky-Shapiro, Gregory, Christopher J. Matheus, Padhraic Smyth, & Ramasamy Uthurusamy. (1994). KDD–93: progress and challenges in knowledge discovery in databases. AI Magazine. 15(3). 77–82. 16 indexed citations
16.
Matheus, Christopher J., et al.. (1994). An application of KEFIR to the analysis of healthcare information. 441–452. 11 indexed citations
17.
Piatetsky-Shapiro, Gregory. (1994). Knowledge discovery in databases: Progress report. The Knowledge Engineering Review. 9(1). 57–60. 6 indexed citations
18.
Piatetsky-Shapiro, Gregory. (1993). Knowledge discovery in databases : papers from the 1993 AAAI Workshop ; July 11-12, Washington, D.C., Technical Report WS-93-02. 1 indexed citations
19.
Piatetsky-Shapiro, Gregory. (1991). Knowledge discovery in real databases: A report on the IJCAI-89 Workshop. AI Magazine. 11(5). 68–70. 58 indexed citations
20.
Piatetsky-Shapiro, Gregory. (1983). The optimal selection of secondary indices is NP-complete. ACM SIGMOD Record. 13(2). 72–75. 19 indexed citations

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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