Douglas Burdick
- Artificial Intelligence top 10%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Lucian PopaShivakumar VaithyanathanBerthold ReinwaldYuanyuan TianPrithviraj SenShirish TatikondaMatthias BöehmWarren Shen
- Topics
- Data Quality and Management (11 papers)Advanced Database Systems and Queries (7 papers)Semantic Web and Ontologies (4 papers)
- Journals
- Proceedings of the VLDB EndowmentJournal of Computer and System SciencesACM Transactions on Database Systems
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Douglas Burdick
18 papers receiving 314 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 169
- Information Systems 133
- Management Science and Operations Research 104
- Computer Networks and Communications 96
- Computer Vision and Pattern Recognition 81
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-authorship network of co-authors of Douglas Burdick
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas Burdick. A scholar is included among the top collaborators of Douglas 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 Douglas Burdick. Douglas Burdick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 22 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. | 28 |
| 15 | 6 | |
| 16 | 62 | |
| 17 | Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study. | 37 |
| 18 | DBLife: A Community Information Management Platform for the Database Research Community (Demonstration) | 54 |
| 19 | MAFIA: A Performance Study of Mining Maximal Frequent Itemsets. | 20 |
About Douglas Burdick
Douglas Burdick is a scholar working on Management Science and Operations Research, Information Systems and Computer Networks and Communications, having authored 19 papers that have together received 342 indexed citations. Recurring topics across this work include Data Quality and Management (11 papers), Advanced Database Systems and Queries (7 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Management Science and Operations Research (104 citations), Computational Mathematics (4 citations) and Information Systems (133 citations). Douglas Burdick has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Lucian Popa, Shivakumar Vaithyanathan, Berthold Reinwald, Yuanyuan Tian, Prithviraj Sen, Shirish Tatikonda, Matthias Böehm, Warren Shen, Raghu Ramakrishnan and Pedro DeRose. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Computer and System Sciences and ACM Transactions on Database Systems.
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.