Citations per year, relative to Michael Grossniklaus Michael Grossniklaus (= 1×)
peers
Heiko Schuldt
Countries citing papers authored by Michael Grossniklaus
Since
Specialization
Citations
This map shows the geographic impact of Michael Grossniklaus'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 Michael Grossniklaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Grossniklaus more than expected).
Fields of papers citing papers by Michael Grossniklaus
This network shows the impact of papers produced by Michael Grossniklaus. 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 Michael Grossniklaus. The network helps show where Michael Grossniklaus may publish in the future.
Co-authorship network of co-authors of Michael Grossniklaus
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Grossniklaus.
A scholar is included among the top collaborators of Michael Grossniklaus 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 Michael Grossniklaus. Michael Grossniklaus is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Grossniklaus, Michael, et al.. (2017). On the Performance of Analytical and Pattern Matching Graph Queries in Neo4j and a Relational Database.. KOPS (University of Konstanz).7 indexed citations
8.
Grossniklaus, Michael, et al.. (2016). An Algebra and Equivalences to Transform Graph Patterns in Neo4j. KOPS (University of Konstanz).14 indexed citations
Grossniklaus, Michael, et al.. (2014). Bridging Java Annotations and UML Profiles with JUMP. KOPS (University of Konstanz).1 indexed citations
11.
Weiler, Andreas, Michael Grossniklaus, & Marc H. Scholl. (2014). Event Identification and Tracking in Social Media Streaming Data. KOPS (University of Konstanz). 282–287.13 indexed citations
12.
Weiler, Andreas, Michael Grossniklaus, & Marc H. Scholl. (2014). SiCi Explorer : situation monitoring of cities in social media streaming data. KOPS (University of Konstanz). 369–370.1 indexed citations
13.
Weiler, Andreas, et al.. (2014). On-line Clustering for Real-Time Topic Detection in Social Media Streaming Data. KOPS (University of Konstanz). 57–63.8 indexed citations
14.
Barbieri, Davide, Daniele Braga, Stefano Ceri, Emanuele Della Valle, & Michael Grossniklaus. (2010). C-SPARQL: A CONTINUOUS QUERY LANGUAGE FOR RDF DATA STREAMS. International Journal of Semantic Computing. 4(1). 3–25.141 indexed citations
15.
Barbieri, Davide, Daniele Braga, Stefano Ceri, Emanuele Della Valle, & Michael Grossniklaus. (2009). C-SPARQL. KOPS (University of Konstanz). 1061–1062.126 indexed citations
16.
Barbieri, Davide, Daniele Braga, Stefano Ceri, Emanuele Della Valle, & Michael Grossniklaus. (2009). Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL. KOPS (University of Konstanz).14 indexed citations
17.
Norrie, Moira C., et al.. (2008). Semantic Data Management for db4o. KOPS (University of Konstanz). 21–38.2 indexed citations
18.
Grossniklaus, Michael, et al.. (2008). Database-Driven Web Mashups. KOPS (University of Konstanz). 162–174.12 indexed citations
Grossniklaus, Michael, Moira C. Norrie, Beat Signer, & Nadir Weibel. (2006). Putting location-based services on the map.1 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.