D. Stampfer

13 papers receiving 99 citations

Peers

D. Stampfer
Comparison fields: 5 of 37
  • Software 23
  • Hardware and Architecture 11
  • Artificial Intelligence 47
  • Industrial and Manufacturing Engineering 14
  • Computer Vision and Pattern Recognition 24
Replace Johannes Hölzl with:
Johannes Hölzl Germany
Bohua Zhan China
Khalil Ghorbal United States
Diego Manzanas Lopez United States
Tetsuo Ida Japan
Manuel A. Martins Portugal
J. Howard Frank Germany
Thayne T. Walker United States
Sigal Ar United States
Patrick Musau United States
D. Stampfer relative to Johannes Hölzl Germany Johannes Hölzl's profile →
Citations per field
00.5×4.8×
Johannes Hölzl · 1×
Citations per year

Countries citing papers authored by D. Stampfer

Since Specialization
Citations

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

Fields of papers citing papers by D. Stampfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside D. Stampfer, 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 D. Stampfer Line = papers co-authored together D. Stampfer links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201627
2 201519
3 199410
4 20149
5 20129
6
A Component-Based and Model-Driven Approach to Deal with Non-Functional Properties through Global QoS Metrics.
20185
7 19934
8 20164
9 20134
10
Service Robot Control Architectures for Flexible and Robust Real-World Task Execution: Best Practices and Patterns.
20143
11 20143
12 20123
13 20131

About D. Stampfer

D. Stampfer is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 101 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (5 papers), Advanced Software Engineering Methodologies (5 papers), Software System Performance and Reliability (3 papers), AI-based Problem Solving and Planning (3 papers), Robot Manipulation and Learning (2 papers), Modular Robots and Swarm Intelligence (2 papers), Robotics and Sensor-Based Localization (2 papers) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Software (23 citations), Hardware and Architecture (11 citations), Artificial Intelligence (47 citations), Industrial and Manufacturing Engineering (14 citations) and Computer Vision and Pattern Recognition (24 citations). D. Stampfer has collaborated with scholars based in Germany, Austria and Spain. Frequent co-authors include Christian Schlegel, Matthias Lutz, Cristina Vicente-Chicote, R. Frühwirth, M. Regler, Christian Heinzemann, Ralph Lange, Jan Staschulat and Arne Hamann. Their work appears in journals such as Computer Physics Communications, Intelligent Service Robotics, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, International Journal of Information System Modeling and Design and it - Information Technology.

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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