David Simmen
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Peer-to-Peer Network Technologies
Papers in ⓘ
-
- Data Management and Algorithms 8
-
- Advanced Database Systems and Queries 11
- Co-authors
- Volker Markl (3 shared papers)Guy M. Lohman (3 shared papers)Hamid Pirahesh (2 shared papers)Eugene J. Shekita (2 shared papers)Vijayshankar Raman (1 shared paper)Mehmet Altınel (2 shared papers)Sriram Padmanabhan (1 shared paper)Paul Brown (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)IBM Systems Journal (1 paper)Proceedings of the VLDB Endowment (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)BIROn (Birkbeck, University of London) (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
David Simmen
13 papers receiving 405 citations
Peers
Comparison fields: 5 of 28
- Signal Processing 250
- Computer Networks and Communications 381
- Information Systems 187
- Artificial Intelligence 181
- Information Systems and Management 23
Countries citing papers authored by David Simmen
This map shows the geographic impact of David Simmen'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 David Simmen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Simmen more than expected).
Fields of papers citing papers by David Simmen
This network shows the impact of papers produced by David Simmen. 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 David Simmen. The network helps show where David Simmen may publish in the future.
Co-authors
The 25 scholars most cited alongside David Simmen, 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 | 2004 | 156 | |
| 2 | 1996 | 69 | |
| 3 | 2008 | 63 | |
| 4 | Damia: a data mashup fabric for intranet applications | 2007 | 50 |
| 5 | 2006 | 24 | |
| 6 | 2014 | 24 | |
| 7 | 1996 | 19 | |
| 8 | 2002 | 19 | |
| 9 | DB2 Optimization in Support of Full Text Search. | 2001 | 12 |
| 10 | Information Concepts for Cross-device Applications. | 2013 | 7 |
| 11 | 2009 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2016 | 1 |
About David Simmen
David Simmen is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems and Management, Artificial Intelligence and Human-Computer Interaction, having authored 13 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (8 papers), Semantic Web and Ontologies (5 papers), Graph Theory and Algorithms (2 papers), Web Data Mining and Analysis (2 papers), Service-Oriented Architecture and Web Services (2 papers), Cloud Computing and Resource Management (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Signal Processing (250 citations), Computer Networks and Communications (381 citations), Information Systems (187 citations), Artificial Intelligence (181 citations) and Information Systems and Management (23 citations). David Simmen has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Volker Markl, Guy M. Lohman, Hamid Pirahesh, Eugene J. Shekita, Vijayshankar Raman, Mehmet Altınel, Sriram Padmanabhan, Paul Brown, Eric K. Louie and Jun Rao. Their work appears in journals such as ACM SIGMOD Record, IBM Systems Journal, Proceedings of the VLDB Endowment, IEEE Data(base) Engineering Bulletin and BIROn (Birkbeck, University of London).
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.