Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
New Generation Sensor Web Enablement
2011307 citationsArne Bröring, Simon Jirka et al.Sensorsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Simon Jirka'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 Simon Jirka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Jirka more than expected).
This network shows the impact of papers produced by Simon Jirka. 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 Simon Jirka. The network helps show where Simon Jirka may publish in the future.
Co-authorship network of co-authors of Simon Jirka
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Jirka.
A scholar is included among the top collaborators of Simon Jirka 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 Simon Jirka. Simon Jirka is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jirka, Simon, Joaquín del Río Fernández, Daniel Mihai Toma, et al.. (2017). SWE-based Observation Data Delivery from the Instrument to the User - Sensor Web Technology in the NeXOS Project. EGUGA. 7769.1 indexed citations
Delory, Eric, et al.. (2016). Efficient Sensor Integration on Platforms (NeXOS). AGU Fall Meeting Abstracts. 2016.1 indexed citations
9.
Jirka, Simon. (2016). Marine Profiles for OGC Sensor Web Enablement Standards. EGU General Assembly Conference Abstracts.1 indexed citations
10.
Mueller, Matthias, et al.. (2016). A Scientific Data Management Infrastructure for Environmental Monitoring and Modelling. ScholarsArchive (Brigham Young University).
Jirka, Simon, et al.. (2013). Sensor web and web processing standards for crisis management.. ISCRAM.1 indexed citations
16.
Jirka, Simon, et al.. (2010). Crowdsourcing sensor tasks to a socio-geographic network. University of Twente Research Information.3 indexed citations
17.
Jirka, Simon, et al.. (2010). Sensor web in practice : building productive systems. University of Twente Research Information. 13(6). 42–45.2 indexed citations
Foerster, Theodor, et al.. (2009). Integrating web-based sensor information into geospatial mass-market applications through OGC web processing services. University of Twente Research Information. 2. 278–287.4 indexed citations
20.
Foerster, Theodor, Arne Bröring, Simon Jirka, & Jörg Müller. (2009). Sensor web and geoprocessing services for pervasive advertising. University of Twente Research Information. 3954–3965.4 indexed citations
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.