Renée J. Miller

126 papers receiving 4.3k citations

Hit Papers

Data exchange: semantics and query answering20042026201120182004200400600

Peers

Renée J. Miller
Comparison fields: 5 of 107
  • Artificial Intelligence 3.3k
  • Computer Networks and Communications 2.8k
  • Management Science and Operations Research 1.8k
  • Information Systems 1.7k
  • Signal Processing 1.2k
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Tova Milo Israel
Sunita Sarawagi India
Marcelo Arenas Chile
Laura M. Haas United States
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Nan Tang China
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Xin Luna Dong United States
Wenfei Fan United Kingdom
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Citations per year

Countries citing papers authored by Renée J. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Renée J. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renée J. Miller. 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 Renée J. Miller. The network helps show where Renée J. Miller may publish in the future.

Co-authorship network of co-authors of Renée J. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Renée J. Miller. A scholar is included among the top collaborators of Renée J. Miller 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 Renée J. Miller. Renée J. Miller 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
#WorkIndexed citations
1 1
2 1
3 10
4
Towards a Benchmark for Knowledge Base Exchange.
1
5
Optimizing Organizations for Navigating Data Lakes.
1
6
Making Open Data Transparent: Data Discovery on Open Data.
22
7
Benchmarking Data Curation Systems
9
8
Active repair of data quality rules.
8
9
Linking Semistructured Data on the Web
17
10
Information Integration: a Vision for Integration Independence and Linking Open Data.
0
11
Management of Inconsistent and Uncertain Data.
0
12
Accuracy of Approximate String Joins Using Grams
10
13
Retrospective on Clio: Schema Mapping and Data Exchange in Practice.
3
14
ConQuer: a system for efficient querying over inconsistent databases
5
15
Data sharing in the Hyperion peer database system
36
16
Schema Mapping as Query Discovery
257
17 1
18
Transforming Heterogeneous Data with Database Middleware: Beyond Integration.
98
19
Desktop Experiment Management
15
20
The Use of Information Capacity in Schema Integration and Translation
120

About Renée J. Miller

Renée J. Miller is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Signal Processing, having authored 132 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (77 papers), Semantic Web and Ontologies (67 papers) and Data Quality and Management (62 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Computer Networks and Communications (2.8k citations) and Signal Processing (1.2k citations). Renée J. Miller has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Ronald Fagin, Laura M. Haas, Lucian Popa, Phokion G. Kolaitis, Fei Chiang, Ariel Fuxman, Mauricio A. Hernández, Erkang Zhu, Fatemeh Nargesian and Ken Q. Pu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Theoretical Computer Science.

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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