Dave Kolas
Impact in
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- Geographic Information Systems Studies
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
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- Semantic Web and Ontologies 12
- Advanced Computational Techniques and Applications 2
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- Data Management and Algorithms 12
- Co-authors
- Mike Dean (6 shared papers)Krzysztof Janowicz (2 shared papers)Pascal Hitzler (2 shared papers)Benjamin Adams (1 shared paper)Charles Vardeman (1 shared paper)Michael Lutz (1 shared paper)Simon Scheider (1 shared paper)David Carral (1 shared paper)
- Journals
- Transactions in GIS (4 papers)Semantic Web (2 papers)Lecture notes in computer science (4 papers)Frontiers in artificial intelligence and applications (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Dave Kolas
15 papers receiving 565 citations
Peers
Comparison fields: 5 of 71
- Geography, Planning and Development 238
- Signal Processing 305
- Artificial Intelligence 445
- Computer Networks and Communications 139
- Information Systems 135
Countries citing papers authored by Dave Kolas
This map shows the geographic impact of Dave Kolas'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 Dave Kolas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Kolas more than expected).
Fields of papers citing papers by Dave Kolas
This network shows the impact of papers produced by Dave Kolas. 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 Dave Kolas. The network helps show where Dave Kolas may publish in the future.
Co-authors
The 17 scholars most cited alongside Dave Kolas, 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 | 2012 | 261 | |
| 2 | 2014 | 97 | |
| 3 | 2013 | 86 | |
| 4 | 2005 | 50 | |
| 5 | 2007 | 34 | |
| 6 | Efficient Linked-List RDF Indexing in Parliament | 2009 | 25 |
| 7 | 2007 | 19 | |
| 8 | 2014 | 18 | |
| 9 | 2008 | 12 | |
| 10 | 2010 | 5 | |
| 11 | Geospatial Ontology Trade Study | 2010 | 5 |
| 12 | 2014 | 2 | |
| 13 | 2010 | 1 | |
| 14 | Ontology-Driven Imagery Analysis | 2010 | 1 |
| 15 | 2008 | 1 |
About Dave Kolas
Dave Kolas is a scholar working on Artificial Intelligence, Signal Processing, Geography, Planning and Development, Information Systems and Computer Networks and Communications, having authored 15 papers that have together received 617 indexed citations. Recurring topics across this work include Data Management and Algorithms (12 papers), Semantic Web and Ontologies (12 papers), Geographic Information Systems Studies (10 papers), Advanced Database Systems and Queries (2 papers), Advanced Computational Techniques and Applications (2 papers), Service-Oriented Architecture and Web Services (2 papers), Research Data Management Practices (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Geography, Planning and Development (238 citations), Signal Processing (305 citations), Artificial Intelligence (445 citations), Computer Networks and Communications (139 citations) and Information Systems (135 citations). Dave Kolas has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Mike Dean, Krzysztof Janowicz, Pascal Hitzler, Benjamin Adams, Charles Vardeman, Michael Lutz, Simon Scheider, David Carral, Yingjie Hu and W. Kühn. Their work appears in journals such as Transactions in GIS, Semantic Web, Lecture notes in computer science and Frontiers in artificial intelligence and applications.
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.