D. Stampfer

16 papers receiving 135 citations

Peers

D. Stampfer
Comparison fields: 5 of 40
  • Software 30
  • Industrial and Manufacturing Engineering 22
  • Hardware and Architecture 14
  • Artificial Intelligence 66
  • Computer Vision and Pattern Recognition 31
Replace Vitchyr H. Pong with:
Vitchyr H. Pong Germany
Anthony Corso United States
Miao Cheng China
Sajad Khatiri Switzerland
Zengjie Zhang China
Praveen Tammana India
Yucheng Zhou China
Boris D Gnedenko Russia
Paweł Kaczmarek Poland
David Kaslow United States
D. Stampfer relative to Vitchyr H. Pong Germany Vitchyr H. Pong's profile →
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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 10 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

16 of 16 papers shown
#Work
1 201633
2 201524
3 201411
4
A Component-Based and Model-Driven Approach to Deal with Non-Functional Properties through Global QoS Metrics.
201811
5 199410
6 20139
7 20128
8 20167
9 20184
10 19934
11 20144
12 20123
13
Service Robot Control Architectures for Flexible and Robust Real-World Task Execution: Best Practices and Patterns.
20143
14 20203
15 20092
16 20131

About D. Stampfer

D. Stampfer is a scholar working on Artificial Intelligence, Information Systems, Industrial and Manufacturing Engineering, Computer Networks and Communications and Radiation, having authored 16 papers that have together received 137 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (7 papers), Service-Oriented Architecture and Web Services (7 papers), AI-based Problem Solving and Planning (3 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers), Software System Performance and Reliability (3 papers), Modular Robots and Swarm Intelligence (2 papers), Robotics and Sensor-Based Localization (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Software (30 citations), Industrial and Manufacturing Engineering (22 citations), Hardware and Architecture (14 citations), Artificial Intelligence (66 citations) and Computer Vision and Pattern Recognition (31 citations). D. Stampfer has collaborated with scholars based in Germany, Spain and Austria. Frequent co-authors include Christian Schlegel, Matthias Lutz, Cristina Vicente-Chicote, M. Regler, Rudolf Konrad Fruhwirth, Jan Staschulat, Arne Hamann, Andreas Johann Steck, Christian Heinzemann and Ralph Lange. 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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