Hedda R. Schmidtke
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Signal Processing
- Co-authors
- Woontack WooMichael BeiglXing XieStephan SiggMohammad EshghiJerald D. KralikJee Hang LeeSusan L. Epstein
- Topics
- Semantic Web and Ontologies (8 papers)Context-Aware Activity Recognition Systems (8 papers)Constraint Satisfaction and Optimization (6 papers)
- Journals
- Advanced Engineering MaterialsPersonal and Ubiquitous ComputingPervasive and Mobile Computing
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Hedda R. Schmidtke
23 papers receiving 153 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 75
- Computer Networks and Communications 50
- Computer Vision and Pattern Recognition 37
- Information Systems 27
- Signal Processing 22
Countries citing papers authored by Hedda R. Schmidtke
This map shows the geographic impact of Hedda R. Schmidtke'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 Hedda R. Schmidtke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hedda R. Schmidtke more than expected).
Fields of papers citing papers by Hedda R. Schmidtke
This network shows the impact of papers produced by Hedda R. Schmidtke. 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 Hedda R. Schmidtke. The network helps show where Hedda R. Schmidtke may publish in the future.
Co-authorship network of co-authors of Hedda R. Schmidtke
This figure shows the co-authorship network connecting the top 25 collaborators of Hedda R. Schmidtke. A scholar is included among the top collaborators of Hedda R. Schmidtke 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 Hedda R. Schmidtke. Hedda R. Schmidtke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | Introducing New Sensors for Activity Recognition | 2 |
| 16 | 1 | |
| 17 | 4 | |
| 18 | Sensing Spaces: Light-Weight Monitoring of Industrial Facilities | 1 |
| 19 | 13 | |
| 20 | Linking Context Modelling and Contextual Reasoning | 12 |
About Hedda R. Schmidtke
Hedda R. Schmidtke is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 162 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Context-Aware Activity Recognition Systems (8 papers) and Constraint Satisfaction and Optimization (6 papers). The work is most often cited by research in Artificial Intelligence (75 citations), Computer Networks and Communications (50 citations) and Signal Processing (22 citations). Hedda R. Schmidtke has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Woontack Woo, Michael Beigl, Xing Xie, Stephan Sigg, Mohammad Eshghi, Jerald D. Kralik, Jee Hang Lee, Susan L. Epstein, Dawud Gordon and Paul S. Rosenbloom. Their work appears in journals such as Advanced Engineering Materials, Personal and Ubiquitous Computing and Pervasive and Mobile Computing.
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.