Marco Stolpe
- Industrial and Manufacturing Engineering top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Mechanical Engineering
- Co-authors
- Katharina MorikJochen DeuseBenedikt KonradDaniel S. LieberNico PiatkowskiThomas LiebigPeter MarwedelA. Stockem
- Topics
- Traffic Prediction and Management Techniques (2 papers)Parallel Computing and Optimization Techniques (2 papers)Fault Detection and Control Systems (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringStatistics, Probability and UncertaintyComputer Networks and Communications
- Partner nations
- Germany
In The Last Decade
Marco Stolpe
9 papers receiving 170 citations
Peers
Comparison fields: 5 of 60
- Industrial and Manufacturing Engineering 61
- Artificial Intelligence 50
- Computer Networks and Communications 40
- Information Systems 27
- Mechanical Engineering 24
Countries citing papers authored by Marco Stolpe
This map shows the geographic impact of Marco Stolpe'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 Marco Stolpe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Stolpe more than expected).
Fields of papers citing papers by Marco Stolpe
This network shows the impact of papers produced by Marco Stolpe. 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 Marco Stolpe. The network helps show where Marco Stolpe may publish in the future.
Co-authorship network of co-authors of Marco Stolpe
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Stolpe. A scholar is included among the top collaborators of Marco Stolpe 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 Marco Stolpe. Marco Stolpe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 57 | |
| 5 | 25 | |
| 6 | Distributed traffic flow prediction with label proportions: from in-network towards high performance computation with MPI | 6 |
| 7 | Automatic Selection of Machine Learning Models for WCET-aware Compiler Heuristic Generation ! | 1 |
| 8 | 83 | |
| 9 | Automatic Selection of Machine Learning Models for Compiler Heuristic Generation | 1 |
| 10 | 2 |
About Marco Stolpe
Marco Stolpe is a scholar working on Hardware and Architecture, Statistics, Probability and Uncertainty and Software, having authored 10 papers that have together received 179 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (61 citations), Statistics, Probability and Uncertainty (18 citations) and Computer Networks and Communications (40 citations). Marco Stolpe has collaborated with scholars based in Germany. Frequent co-authors include Katharina Morik, Jochen Deuse, Benedikt Konrad, Daniel S. Lieber, Nico Piatkowski, Thomas Liebig, Peter Marwedel, A. Stockem and Torsten Bertram. Their work appears in journals such as Lecture notes in computer science, at - Automatisierungstechnik and Physics.
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.