Dallan Quass
- Computer Networks and Communications top 0.5%
- Signal Processing top 0.5%
- Artificial Intelligence top 1%
- Information Systems top 1%
- Management Science and Operations Research top 5%
- Co-authors
- Jennifer WidomPatrick E. O׳NeilJason McHughJanet L. WienerSerge AbiteboulAshish GuptaVenky HarinarayanInderpal Singh Mumick
- Topics
- Advanced Database Systems and Queries (19 papers)Data Management and Algorithms (12 papers)Semantic Web and Ontologies (9 papers)
- Journals
- ACM SIGMOD RecordJournal of Intelligent Information SystemsDistributed and Parallel Databases
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Dallan Quass
22 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 1.9k
- Signal Processing 1.3k
- Artificial Intelligence 1.2k
- Information Systems 710
- Management Science and Operations Research 205
Countries citing papers authored by Dallan Quass
This map shows the geographic impact of Dallan Quass'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 Dallan Quass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dallan Quass more than expected).
Fields of papers citing papers by Dallan Quass
This network shows the impact of papers produced by Dallan Quass. 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 Dallan Quass. The network helps show where Dallan Quass may publish in the future.
Co-authorship network of co-authors of Dallan Quass
This figure shows the co-authorship network connecting the top 25 collaborators of Dallan Quass. A scholar is included among the top collaborators of Dallan Quass 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 Dallan Quass. Dallan Quass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 42 | |
| 4 | An Interoperable Multimedia Catalog System for Electronic Commerce. | 14 |
| 5 | Ten Features Necessary for an XML Query Language. | 4 |
| 6 | Materialized views in data warehouses | 2 |
| 7 | 75 | |
| 8 | 307 | |
| 9 | 14 | |
| 10 | The Lorel query language for semistructured databreakdown → | 587 |
| 11 | 26 | |
| 12 | 8 | |
| 13 | 117 | |
| 14 | 482 | |
| 15 | 33 | |
| 16 | 5 | |
| 17 | On-Line Warehouse View Maintenance for Batch Updates | 10 |
| 18 | Maintenance Expressions for Views with Aggregation | 51 |
| 19 | Aggregate-Query Processing in Data Warehousing Environments | 211 |
| 20 | Generalized Projections: A Powerful Approach To Aggregation | 20 |
About Dallan Quass
Dallan Quass is a scholar working on Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (19 papers), Data Management and Algorithms (12 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Networks and Communications (1.9k citations) and Artificial Intelligence (1.2k citations). Dallan Quass has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Jennifer Widom, Patrick E. O׳Neil, Jason McHugh, Janet L. Wiener, Serge Abiteboul, Ashish Gupta, Venky Harinarayan, Inderpal Singh Mumick, Anand Rajaraman and Yehoshua Sagiv. Their work appears in journals such as ACM SIGMOD Record, Journal of Intelligent Information Systems and Distributed and Parallel Databases.
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.