Michael Grossniklaus

2.2k citations
62 papers · 981 indexed · h-index 14

Michael Grossniklaus

59 papers receiving 899 citations

Peers

Michael Grossniklaus
Comparison fields: 5 of 91
  • Signal Processing 292
  • Computer Networks and Communications 445
  • Computer Vision and Pattern Recognition 301
  • Artificial Intelligence 438
  • Information Systems 249
Replace Heiko Schuldt with:
Heiko Schuldt Switzerland
John R. Goodall United States
Shobha Venkataraman United States
Markus Miettinen Germany
Wolfgang Klas Austria
Antonio Corral Spain
Bob Price United States
Jai E. Jung South Korea
Bolun Wang United States
Giuseppe Polese Italy
Michael Grossniklaus relative to Heiko Schuldt Switzerland Heiko Schuldt's profile →
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Citations per year

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Michael Grossniklaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Grossniklaus Line = papers co-authored together Michael Grossniklaus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20213
3 20191
4 20191
5 20198
6 201813
7
On the Performance of Analytical and Pattern Matching Graph Queries in Neo4j and a Relational Database.
20177
8
An Algebra and Equivalences to Transform Graph Patterns in Neo4j
201614
9 20161
10
Bridging Java Annotations and UML Profiles with JUMP
20141
11
Event Identification and Tracking in Social Media Streaming Data
201413
12
SiCi Explorer : situation monitoring of cities in social media streaming data
20141
13
On-line Clustering for Real-Time Topic Detection in Social Media Streaming Data
20148
14 2010141
15 2009126
16
Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL
200914
17
Semantic Data Management for db4o
20082
18 200812
19 20072
20
Putting location-based services on the map
20061

About Michael Grossniklaus

Michael Grossniklaus is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 62 papers that have together received 981 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (24 papers), Data Management and Algorithms (21 papers), Semantic Web and Ontologies (10 papers), Data Visualization and Analytics (9 papers), Web Applications and Data Management (8 papers), Complex Network Analysis Techniques (7 papers), Multimedia Communication and Technology (7 papers) and Web Data Mining and Analysis (6 papers). The work is most often cited by research in Signal Processing (292 citations), Computer Networks and Communications (445 citations) and Computer Vision and Pattern Recognition (301 citations). Michael Grossniklaus has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Stefano Ceri, Daniele Braga, Davide Barbieri, Emanuele Della Valle, Moira C. Norrie, Daniel A. Keim, Manuel Stein, Halldór Janetzko, Tobias Schreck and Marc H. Scholl. Their work appears in journals such as Journal of Sports Sciences, IEEE Transactions on Visualization and Computer Graphics and Proceedings of the VLDB Endowment.

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.

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