Doug Burdick

1.2k citations
11 papers · 768 indexed · 1 hit paper · h-index 6
Topics
Advanced Database Systems and Queries (5 papers)Semantic Web and Ontologies (4 papers)Data Management and Algorithms (4 papers)
Partner nations
United StatesSpain

In The Last Decade

Doug Burdick

11 papers receiving 723 citations

Hit Papers

MAFIA: a maximal frequent itemset algorithm for transacti...20022026201020182002100200300

Peers

Doug Burdick
Comparison fields: 5 of 58
  • Information Systems 561
  • Computational Theory and Mathematics 373
  • Artificial Intelligence 357
  • Signal Processing 316
  • Computer Networks and Communications 221
Replace John Shafer with:
John Shafer United States
Loan T. T. Nguyen Vietnam
Jeff Ullman United States
Rokia Missaoui Canada
Jiefeng Cheng Hong Kong
Lotfi Lakhal France
Manuel Calimlim United States
X. Sean Wang United States
P. Bosc France
Michel Adiba France
Doug Burdick relative to John Shafer United States John Shafer's profile →
Citations per field
00.5×
John Shafer · 1×
Citations per year

Countries citing papers authored by Doug Burdick

Since Specialization
Citations

This map shows the geographic impact of Doug Burdick'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 Doug Burdick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doug Burdick more than expected).

Fields of papers citing papers by Doug Burdick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doug Burdick. 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 Doug Burdick. The network helps show where Doug Burdick may publish in the future.

Co-authorship network of co-authors of Doug Burdick

This figure shows the co-authorship network connecting the top 25 collaborators of Doug Burdick. A scholar is included among the top collaborators of Doug Burdick 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 Doug Burdick. Doug Burdick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 2
3 3
4 2
5 5
6 40
7
OLAP over imprecise data with domain constraints
23
8 115
9 172
10
MAFIA: a maximal frequent itemset algorithm for transactional databasesbreakdown →
398
11
Vesicular transport: implications for cell polarity.
6

About Doug Burdick

Doug Burdick is a scholar working on Signal Processing, Management Science and Operations Research and Management Information Systems, having authored 11 papers that have together received 768 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Semantic Web and Ontologies (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Signal Processing (316 citations), Information Systems (561 citations) and Computational Theory and Mathematics (373 citations). Doug Burdick has collaborated with scholars based in United States and Spain. Frequent co-authors include Manuel Calimlim, Johannes Gehrke, Jason Flannick, Shivakumar Vaithyanathan, Raghu Ramakrishnan, T. S. Jayram, Prasad Deshpande, AnHai Doan, Raghu Ramakrishnan and Peter Mork. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal and PubMed.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026