Daniela Nicklas

93 papers receiving 1.6k citations

Daniela Nicklas's Hit Papers

A survey of context modelling and reasoning techniques 2009 · 888 citations
8880+5+11Years since publication250500750

Peers

Daniela Nicklas
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Networks and Communications 799
  • Signal Processing 317
  • Transportation 113
  • Information Systems 393
Replace Thomas Strang with:
Thomas Strang Germany
Hung Keng Pung Singapore
Christine Julien United States
Markus Endler Brazil
Panos K. Chrysanthis United States
Martin S. Nicklous Germany
Rodger Lea Canada
Markus Miettinen Germany
Hung Bui Australia
Chatschik C. Bisdikian United States
Daniela Nicklas relative to Thomas Strang Germany Thomas Strang's profile →
Citations per field
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Thomas Strang · 1×
Citations per year

Countries citing papers authored by Daniela Nicklas

Since Specialization
Citations

This map shows the geographic impact of Daniela Nicklas'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 Daniela Nicklas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Nicklas more than expected).

Fields of papers citing papers by Daniela Nicklas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Nicklas. 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 Daniela Nicklas. The network helps show where Daniela Nicklas may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Nicklas, 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 Daniela Nicklas Line = papers co-authored together Daniela Nicklas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of context modelling and reasoning techniques
Hit paper breakdown →
2009888
2 200573
3 200152
4 200548
5 200446
6 200843
7 201042
8 201234
9 202134
10 202131
11 200324
12 201523
13 200822
14 200819
15 200817
16 201513
17 200811
18 201611
19 200810
20
Towards integration of uncertain sensor data into context-aware workflows
200910

About Daniela Nicklas

Daniela Nicklas is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 102 papers that have together received 1.7k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (32 papers), Data Management and Algorithms (27 papers), Advanced Database Systems and Queries (23 papers), Semantic Web and Ontologies (17 papers), Service-Oriented Architecture and Web Services (15 papers), Data Stream Mining Techniques (11 papers), IoT and Edge/Fog Computing (10 papers) and Human Mobility and Location-Based Analysis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computer Networks and Communications (799 citations), Signal Processing (317 citations), Transportation (113 citations) and Information Systems (393 citations). Daniela Nicklas has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Daniele Riboni, Oliver Brdiczka, Anand Ranganathan, Karen Henricksen, Claudio Bettini, Jadwiga Indulska, Bernhard Mitschang, Matthias Josef Wieland, Matthias Großmann and Martin Bauer. Their work appears in journals such as Multimedia Systems, Pervasive and Mobile Computing, IEEE Pervasive Computing, Computer Science - Research and Development and Information Systems.

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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