Daniela Nicklas

75 papers receiving 1.1k citations

Daniela Nicklas's Hit Papers

A survey of context modelling and reasoning techniques 2009 · 679 citations
6790+5+11Years since publication200400600

Peers

Daniela Nicklas
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 706
  • Computer Networks and Communications 566
  • Signal Processing 215
  • Computer Science Applications 71
  • Information Systems 288
Replace Karen Henricksen with:
Karen Henricksen Australia
Thomas Strang Germany
Hung Keng Pung Singapore
Paddy Nixon Ireland
Axel Küpper Germany
Vinny Cahill Ireland
Markus Endler Brazil
Khalil El‐Khatib Canada
Michèle Ruta Italy
Rodger Lea Canada
Daniela Nicklas relative to Karen Henricksen Australia Karen Henricksen's profile →
Citations per field
00.5×5.6×
Karen Henricksen · 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 85 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 →
2009679
2 200560
3 200836
4 200434
5 200533
6 201229
7 201027
8 202127
9 202126
10 200320
11 200820
12 201518
13 200813
14 201513
15 200811
16
Towards integration of uncertain sensor data into context-aware workflows
20098
17 20068
18 20168
19 20097
20 20167

About Daniela Nicklas

Daniela Nicklas is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (25 papers), Data Management and Algorithms (22 papers), Advanced Database Systems and Queries (16 papers), Semantic Web and Ontologies (15 papers), Service-Oriented Architecture and Web Services (12 papers), Data Stream Mining Techniques (8 papers), IoT and Edge/Fog Computing (7 papers) and Data Quality and Management (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (706 citations), Computer Networks and Communications (566 citations), Signal Processing (215 citations), Computer Science Applications (71 citations) and Information Systems (288 citations). Daniela Nicklas has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Karen Henricksen, Daniele Riboni, Anand Ranganathan, Oliver Brdiczka, Cláudio Bettini, Jadwiga Indulska, Bernhard Mitschang, Matthias Wieland, Martin Bauer and T.J.E. Schwarz. Their work appears in journals such as Pervasive and Mobile Computing, Multimedia Systems, Software & Systems Modeling, IEEE Pervasive Computing and Computer Science - Research and Development.

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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