Paul G. Plöger
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Tijn van der ZantGerhard LakemeyerAndré HinkenjannJens MaieroGerhard K. KraetzschmarNico HochgeschwenderMarco Flores-CaleroKazuo Ishii
- Topics
- Robot Manipulation and Learning (13 papers)AI-based Problem Solving and Planning (7 papers)Robotics and Sensor-Based Localization (6 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- BioinformaticsThe International Journal of Robotics ResearchJournal of Neuroscience Methods
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Paul G. Plöger
40 papers receiving 329 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 178
- Electrical and Electronic Engineering 145
- Control and Systems Engineering 67
- Computer Vision and Pattern Recognition 64
- Cognitive Neuroscience 39
Countries citing papers authored by Paul G. Plöger
This map shows the geographic impact of Paul G. Plöger'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 Paul G. Plöger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul G. Plöger more than expected).
Fields of papers citing papers by Paul G. Plöger
This network shows the impact of papers produced by Paul G. Plöger. 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 Paul G. Plöger. The network helps show where Paul G. Plöger may publish in the future.
Co-authorship network of co-authors of Paul G. Plöger
This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Plöger. A scholar is included among the top collaborators of Paul G. Plöger 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 Paul G. Plöger. Paul G. Plöger 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 28 | |
| 12 | A robust people detection, tracking, and counting system | 9 |
| 13 | 11 | |
| 14 | Categorization of External Unknown Faults in Robotics | 1 |
| 15 | Towards Scalable 3D Object Shape Categorization | 2 |
| 16 | 53 | |
| 17 | Echo state networks for mobile robot modeling and control | 2 |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 6 |
About Paul G. Plöger
Paul G. Plöger is a scholar working on Software, Control and Systems Engineering and Architecture, having authored 42 papers that have together received 344 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), AI-based Problem Solving and Planning (7 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Artificial Intelligence (178 citations), Computer Vision and Pattern Recognition (64 citations) and Control and Systems Engineering (67 citations). Paul G. Plöger has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Tijn van der Zant, Gerhard Lakemeyer, André Hinkenjann, Jens Maiero, Gerhard K. Kraetzschmar, Nico Hochgeschwender, Marco Flores-Calero, Kazuo Ishii, Thomas Breuer and Naveed Akhtar. Their work appears in journals such as Bioinformatics, The International Journal of Robotics Research and Journal of Neuroscience Methods.
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.