Laura M. Haas
- Computer Networks and Communications top 0.2%
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Information Systems top 0.5%
- Management Science and Operations Research top 1%
- Co-authors
- Renée J. MillerMauricio A. HernándezEdward L. WimmersHamid PiraheshMichael J. CareyRonald FaginPeter SchwarzMary T. Roth
- Topics
- Advanced Database Systems and Queries (45 papers)Semantic Web and Ontologies (27 papers)Data Management and Algorithms (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMInformation Sciences
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Laura M. Haas
73 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 2.7k
- Artificial Intelligence 1.7k
- Signal Processing 1.1k
- Information Systems 1.1k
- Management Science and Operations Research 559
Countries citing papers authored by Laura M. Haas
This map shows the geographic impact of Laura M. Haas'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 Laura M. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura M. Haas more than expected).
Fields of papers citing papers by Laura M. Haas
This network shows the impact of papers produced by Laura M. Haas. 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 Laura M. Haas. The network helps show where Laura M. Haas may publish in the future.
Co-authorship network of co-authors of Laura M. Haas
This figure shows the co-authorship network connecting the top 25 collaborators of Laura M. Haas. A scholar is included among the top collaborators of Laura M. Haas 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 Laura M. Haas. Laura M. Haas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Explaining Data Integration | 11 |
| 2 | Beauty and the Beast: The Theory and Practice of Information Integration | 1 |
| 3 | Review - Mind Your Vocabulary: Query Mapping Across Heterogeneous Information Sources. | 3 |
| 4 | Panel: Is Generic Metadata Management Feasible? | 14 |
| 5 | Schema Mapping as Query Discovery | 257 |
| 6 | Review - Access Path Selection in a Relational Database Management System. | 1 |
| 7 | Transforming Heterogeneous Data with Database Middleware: Beyond Integration. | 98 |
| 8 | Cost Models DO Matter: Providing Cost Information for Diverse Data Sources in a Federated System | 60 |
| 9 | Loading a Cache with Query Results | 15 |
| 10 | Data Access Interoperability in the IBM Database Family. | 13 |
| 11 | Proceedings of the 1998 ACM SIGMOD international conference on Management of data | 49 |
| 12 | SIGMOD '98 : proceedings of ACM SIGMOD International Conference on Management of Data, June 1-4, 1998, Seattle, Washington, USA | 7 |
| 13 | Optimizing Queries Across Diverse Data Sources | 269 |
| 14 | PESTO: An Integrated Query/Browser for Object Databases | 58 |
| 15 | An Optimizer for Heterogeneous Systems with NonStandard Data and Search Capabilities. | 10 |
| 16 | Optimization of Nested Queries in a Distributed Relational Database | 22 |
| 17 | View Management in Distributed Data Base Systems | 9 |
| 18 | R*: An Overview of the Architecture. | 8 |
| 19 | Research Direction in Query Optimization at the University of Maryland. | 15 |
| 20 | An Introduction to Distributed Query Compilation in R | 48 |
About Laura M. Haas
Laura M. Haas is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems and Management, having authored 77 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (45 papers), Semantic Web and Ontologies (27 papers) and Data Management and Algorithms (21 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Signal Processing (1.1k citations) and Artificial Intelligence (1.7k citations). Laura M. Haas has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Renée J. Miller, Mauricio A. Hernández, Edward L. Wimmers, Hamid Pirahesh, Michael J. Carey, Ronald Fagin, Peter Schwarz, Mary T. Roth, Jayadev Misra and K. Mani Chandy. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Information Sciences.
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.