Douglas Burdick

590 total citations
19 papers, 342 citations indexed

About

Douglas Burdick is a scholar working on Management Science and Operations Research, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Douglas Burdick has authored 19 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 8 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Douglas Burdick's work include Data Quality and Management (11 papers), Advanced Database Systems and Queries (7 papers) and Semantic Web and Ontologies (4 papers). Douglas Burdick is often cited by papers focused on Data Quality and Management (11 papers), Advanced Database Systems and Queries (7 papers) and Semantic Web and Ontologies (4 papers). Douglas Burdick collaborates with scholars based in United States, Australia and India. Douglas Burdick's co-authors include Lucian Popa, Shivakumar Vaithyanathan, Berthold Reinwald, Yuanyuan Tian, Prithviraj Sen, Shirish Tatikonda, Matthias Böehm, Warren Shen, Raghu Ramakrishnan and Pedro DeRose and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Computer and System Sciences and ACM Transactions on Database Systems.

In The Last Decade

Douglas Burdick

18 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Douglas Burdick United States 10 169 133 104 96 81 19 342
Florian Schoppmann United States 5 113 0.7× 88 0.7× 141 1.4× 120 1.3× 56 0.7× 6 351
Kee Siong Ng Australia 8 192 1.1× 104 0.8× 43 0.4× 124 1.3× 60 0.7× 16 322
Hannes Mühleisen Netherlands 10 256 1.5× 170 1.3× 134 1.3× 236 2.5× 61 0.8× 34 496
Abdul Quamar United States 12 217 1.3× 204 1.5× 51 0.5× 211 2.2× 118 1.5× 25 440
Zoi Kaoudi Germany 11 141 0.8× 122 0.9× 55 0.5× 214 2.2× 72 0.9× 43 339
Muhammad Saleem Germany 15 312 1.8× 86 0.6× 107 1.0× 133 1.4× 69 0.9× 45 439
Tim Mattson United States 7 99 0.6× 96 0.7× 41 0.4× 169 1.8× 79 1.0× 13 279
Christoph Pinkel Germany 10 297 1.8× 172 1.3× 87 0.8× 256 2.7× 45 0.6× 16 412
Juwei Shi China 6 98 0.6× 195 1.5× 31 0.3× 200 2.1× 53 0.7× 13 292
Jennie Duggan United States 10 119 0.7× 299 2.2× 74 0.7× 451 4.7× 62 0.8× 14 535

Countries citing papers authored by Douglas Burdick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
1.
2.
Burdick, Douglas, Marina Danilevsky, Alexandre Evfimievski, Yannis Katsis, & Nancy Wang. (2020). Table extraction and understanding for scientific and enterprise applications. Proceedings of the VLDB Endowment. 13(12). 3433–3436. 9 indexed citations
3.
Mujumdar, Shashank, Nitin Gupta, Abhinav Jain, & Douglas Burdick. (2019). Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents. 1169–1174. 4 indexed citations
4.
Burdick, Douglas, Rajasekar Krishnamurthy, & Louiqa Raschid. (2019). DSMM'19. 2068–2069. 1 indexed citations
5.
Qian, Kun, Douglas Burdick, Sairam Gurajada, & Lucian Popa. (2019). Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER. 1–6. 4 indexed citations
6.
Burdick, Douglas, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, & Wang-Chiew Tan. (2018). Expressive power of entity-linking frameworks. Journal of Computer and System Sciences. 100. 44–69. 5 indexed citations
7.
Burdick, Douglas, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, & Wang Chiew Tan. (2017). Expressive Power of Entity-Linking Frameworks. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations
8.
Raschid, Louiqa, et al.. (2017). Financial Entity Identification and Information Integration (FEIII) 2017 Challenge. 1–4. 5 indexed citations
9.
Burdick, Douglas, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, & Wang-Chiew Tan. (2016). A Declarative Framework for Linking Entities. ACM Transactions on Database Systems. 41(3). 1–38. 22 indexed citations
10.
Burdick, Douglas, Lucian Popa, & Rajasekar Krishnamurthy. (2016). Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets. 1–4. 1 indexed citations
11.
Burdick, Douglas, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, & Wang Chiew Tan. (2015). A Declarative Framework for Linking Entities. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 5 indexed citations
12.
Schelter, Sebastian, Juan Soto, Volker Markl, et al.. (2015). Efficient sample generation for scalable meta learning. 12. 1191–1202. 11 indexed citations
13.
Burdick, Douglas, Mauricio A. Hernández, Howard Ho, et al.. (2015). Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study. SSRN Electronic Journal. 14 indexed citations
14.
Böhm, Matthias, Douglas Burdick, Alexandre Evfimievski, et al.. (2014). SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.. IEEE Data(base) Engineering Bulletin. 37. 52–62. 28 indexed citations
15.
Burdick, Douglas, Michael Franklin, Rajasekar Krishnamurthy, et al.. (2014). Data Science Challenges in Real Estate Asset and Capital Markets. 1–5. 6 indexed citations
16.
Böehm, Matthias, Shirish Tatikonda, Berthold Reinwald, et al.. (2014). Hybrid parallelization strategies for large-scale machine learning in SystemML. Proceedings of the VLDB Endowment. 7(7). 553–564. 62 indexed citations
17.
Burdick, Douglas, Mauricio A. Hernández, Howard Ho, et al.. (2011). Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study.. IEEE Data(base) Engineering Bulletin. 34. 60–67. 37 indexed citations
18.
DeRose, Pedro, Warren Shen, Fei Chen, et al.. (2007). DBLife: A Community Information Management Platform for the Database Research Community (Demonstration). Conference on Innovative Data Systems Research. 169–172. 54 indexed citations
19.
Burdick, Douglas, et al.. (2003). MAFIA: A Performance Study of Mining Maximal Frequent Itemsets.. 20 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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