Thomas Everding
Impact in
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- Geographic Information Systems Studies
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Data Management and Algorithms 6
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- Geographic Information Systems Studies 5
- Co-authors
- Christoph Stasch (5 shared papers)Arne Bröring (3 shared papers)Simon Jirka (3 shared papers)Ingo Simonis (1 shared paper)Rob Lemmens (1 shared paper)Steve Liang (1 shared paper)Krzysztof Janowicz (3 shared papers)Sven Schade (2 shared papers)
- Journals
- International Journal of Digital Earth (1 paper)Sensors (1 paper)Data Archiving and Networked Services (DANS) (3 papers)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Thomas Everding
8 papers receiving 368 citations
Thomas Everding's Hit Papers
Peers
Comparison fields: 5 of 64
- Geography, Planning and Development 110
- Signal Processing 122
- Geology 51
- Computer Networks and Communications 158
- Information Systems and Management 36
Countries citing papers authored by Thomas Everding
This map shows the geographic impact of Thomas Everding'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 Thomas Everding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Everding more than expected).
Fields of papers citing papers by Thomas Everding
This network shows the impact of papers produced by Thomas Everding. 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 Thomas Everding. The network helps show where Thomas Everding may publish in the future.
Co-authors
The 11 scholars most cited alongside Thomas Everding, 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 | New Generation Sensor Web Enablement Hit paper breakdown → | 2011 | 307 |
| 2 | 2011 | 57 | |
| 3 | Towards meaningful URIs for linked sensor data | 2010 | 15 |
| 4 | Integrating human observations and sensor observations : the example of a noise mapping community. | 2010 | 6 |
| 5 | An Event Driven Architecture for Decision Support. | 2011 | 5 |
| 6 | GENESIS Employing Web Processing Services and Sensor Web Technology for Environmental Management | 2011 | 3 |
| 7 | 2010 | 1 | |
| 8 | Demonstration: a restful SOS proxy for linked sensor data | 2011 | 1 |
| 9 | Combining Geospatial Data and Real-time Sensor Data for Calculating an Integrated Health Index. | 2010 | 1 |
About Thomas Everding
Thomas Everding is a scholar working on Signal Processing, Geography, Planning and Development, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 9 papers that have together received 396 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Geographic Information Systems Studies (5 papers), Semantic Web and Ontologies (4 papers), Advanced Database Systems and Queries (3 papers), Service-Oriented Architecture and Web Services (2 papers), Energy Efficient Wireless Sensor Networks (1 paper), Distributed systems and fault tolerance (1 paper) and Environmental Monitoring and Data Management (1 paper). The work is most often cited by research in Geography, Planning and Development (110 citations), Signal Processing (122 citations), Geology (51 citations), Computer Networks and Communications (158 citations) and Information Systems and Management (36 citations). Thomas Everding has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Christoph Stasch, Arne Bröring, Simon Jirka, Ingo Simonis, Rob Lemmens, Steve Liang, Krzysztof Janowicz, Sven Schade, Theodor Foerster and Bernd Resch. Their work appears in journals such as International Journal of Digital Earth, Sensors and Data Archiving and Networked Services (DANS).
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.