George Lapis
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Peer-to-Peer Network Technologies
Papers in
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- Advanced Database Systems and Queries 7
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- Data Management and Algorithms 7
- Co-authors
- Hamid Pirahesh (7 shared papers)Roberta Cochrane (5 shared papers)Markos Zaharioudakis (2 shared papers)Bruce G. Lindsay (3 shared papers)John McPherson (3 shared papers)Guy M. Lohman (4 shared papers)Michael J. Carey (2 shared papers)Eugene J. Shekita (2 shared papers)
- Journals
- IBM Systems Journal (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM SIGMOD Record (1 paper)Morgan Kaufmann Publishers Inc. eBooks (1 paper)Minds at UW (University of Wisconsin) (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
George Lapis
9 papers receiving 503 citations
Peers
Comparison fields: 5 of 22
- Signal Processing 387
- Computer Networks and Communications 536
- Artificial Intelligence 241
- Information Systems 140
- Hardware and Architecture 18
Countries citing papers authored by George Lapis
This map shows the geographic impact of George Lapis'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 George Lapis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Lapis more than expected).
Fields of papers citing papers by George Lapis
This network shows the impact of papers produced by George Lapis. 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 George Lapis. The network helps show where George Lapis may publish in the future.
Co-authors
The 25 scholars most cited alongside George Lapis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 221 | |
| 2 | 2000 | 103 | |
| 3 | 2005 | 99 | |
| 4 | 2000 | 56 | |
| 5 | An Incremental Join Attachment for Starburst | 1990 | 38 |
| 6 | 2006 | 20 | |
| 7 | 1999 | 19 | |
| 8 | R*: An Overview of the Architecture. | 1982 | 12 |
| 9 | 1991 | 1 |
About George Lapis
George Lapis is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Management Science and Operations Research and Infectious Diseases, having authored 9 papers that have together received 569 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers), Semantic Web and Ontologies (5 papers), Algorithms and Data Compression (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Signal Processing (387 citations), Computer Networks and Communications (536 citations), Artificial Intelligence (241 citations), Information Systems (140 citations) and Hardware and Architecture (18 citations). George Lapis has collaborated with scholars based in United States and Canada. Frequent co-authors include Hamid Pirahesh, Roberta Cochrane, Markos Zaharioudakis, Bruce G. Lindsay, John McPherson, Guy M. Lohman, Michael J. Carey, Eugene J. Shekita, Laura M. Haas and Paul F. Wilms. Their work appears in journals such as IBM Systems Journal, IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, Morgan Kaufmann Publishers Inc. eBooks and Minds at UW (University of Wisconsin).
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.