Douglas Burdick
Impact in
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- Data Quality and Management
Papers in
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- Data Quality and Management 11
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- Data Mining Algorithms and Applications 4
- Web Data Mining and Analysis 2
- Cloud Computing and Resource Management 2
- Co-authors
- Lucian Popa (6 shared papers)Shivakumar Vaithyanathan (3 shared papers)Berthold Reinwald (3 shared papers)Prithviraj Sen (2 shared papers)Yuanyuan Tian (2 shared papers)Shirish Tatikonda (2 shared papers)Matthias Böehm (1 shared paper)Warren Shen (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)ACM Transactions on Database Systems (1 paper)Journal of Computer and System Sciences (1 paper)Conference on Innovative Data Systems Research (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Douglas Burdick
18 papers receiving 318 citations
Peers
Comparison fields: 5 of 48
- Management Science and Operations Research 106
- Computational Mathematics 4
- Information Systems 134
- Artificial Intelligence 169
- Information Systems and Management 33
Countries citing papers authored by Douglas Burdick
This map shows the geographic impact of Douglas 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 Douglas Burdick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Burdick more than expected).
Fields of papers citing papers by Douglas Burdick
This network shows the impact of papers produced by Douglas 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 Douglas Burdick. The network helps show where Douglas Burdick may publish in the future.
Co-authors
The 25 scholars most cited alongside Douglas Burdick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 61 | |
| 2 | 2021 | 56 | |
| 3 | DBLife: A Community Information Management Platform for the Database Research Community (Demonstration) | 2007 | 54 |
| 4 | Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study. | 2011 | 37 |
| 5 | SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. | 2014 | 28 |
| 6 | 2016 | 22 | |
| 7 | MAFIA: A Performance Study of Mining Maximal Frequent Itemsets. | 2003 | 20 |
| 8 | 2015 | 14 | |
| 9 | 2015 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2014 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2017 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2019 | 1 |
About Douglas Burdick
Douglas Burdick is a scholar working on Management Science and Operations Research, Information Systems, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 345 indexed citations. Recurring topics across this work include Data Quality and Management (11 papers), Advanced Database Systems and Queries (7 papers), Data Mining Algorithms and Applications (4 papers), Semantic Web and Ontologies (4 papers), Web Data Mining and Analysis (2 papers), Cloud Computing and Resource Management (2 papers), Graph Theory and Algorithms (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Management Science and Operations Research (106 citations), Computational Mathematics (4 citations), Information Systems (134 citations), Artificial Intelligence (169 citations) and Information Systems and Management (33 citations). Douglas Burdick has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Lucian Popa, Shivakumar Vaithyanathan, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Shirish Tatikonda, Matthias Böehm, Warren Shen, Pedro DeRose and Fei Chen. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, Journal of Computer and System Sciences, Conference on Innovative Data Systems Research and SSRN Electronic Journal.
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.