Paul G. Plöger

926 total citations
42 papers, 344 citations indexed

About

Paul G. Plöger is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul G. Plöger has authored 42 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 19 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul G. Plöger's work include Robot Manipulation and Learning (13 papers), AI-based Problem Solving and Planning (7 papers) and Robotics and Sensor-Based Localization (6 papers). Paul G. Plöger is often cited by papers focused on Robot Manipulation and Learning (13 papers), AI-based Problem Solving and Planning (7 papers) and Robotics and Sensor-Based Localization (6 papers). Paul G. Plöger collaborates with scholars based in Germany, Japan and United States. Paul G. Plöger's co-authors include Tijn van der Zant, Gerhard Lakemeyer, André Hinkenjann, Jens Maiero, Nico Hochgeschwender, Gerhard K. Kraetzschmar, Marco Flores-Calero, Thomas Breuer, Christian Müller and Kazuo Ishii and has published in prestigious journals such as Bioinformatics, The International Journal of Robotics Research and Journal of Neuroscience Methods.

In The Last Decade

Paul G. Plöger

40 papers receiving 329 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul G. Plöger Germany 10 178 145 67 64 39 42 344
Miao Chen China 8 232 1.3× 89 0.6× 69 1.0× 35 0.5× 29 0.7× 33 484
Edoardo Ragusa Italy 11 234 1.3× 96 0.7× 34 0.5× 91 1.4× 21 0.5× 52 426
Tijn van der Zant Netherlands 11 183 1.0× 57 0.4× 103 1.5× 197 3.1× 29 0.7× 19 386
Kerstin Eder United Kingdom 12 123 0.7× 123 0.8× 73 1.1× 48 0.8× 22 0.6× 64 469
Paul Watta United States 13 217 1.2× 103 0.7× 40 0.6× 189 3.0× 21 0.5× 51 483
Timothée Lesort France 5 313 1.8× 36 0.2× 76 1.1× 136 2.1× 41 1.1× 7 459
Mrinal Bachute India 7 93 0.5× 41 0.3× 40 0.6× 69 1.1× 26 0.7× 30 320
Sakyasingha Dasgupta Germany 11 154 0.9× 138 1.0× 30 0.4× 123 1.9× 85 2.2× 21 408
Tohid Alizadeh Kazakhstan 11 141 0.8× 106 0.7× 274 4.1× 84 1.3× 43 1.1× 32 484
Mohd Nizam Husen Malaysia 10 91 0.5× 86 0.6× 27 0.4× 90 1.4× 11 0.3× 38 348

Countries citing papers authored by Paul G. Plöger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Valdenegro-Toro, Matías, et al.. (2024). A neuromorphic approach to obstacle avoidance in robot manipulation. The International Journal of Robotics Research. 44(5). 768–804.
2.
Hochgeschwender, Nico, et al.. (2024). A Multimodal Handover Failure Detection Dataset and Baselines. 17013–17019. 1 indexed citations
3.
Plöger, Paul G., et al.. (2024). Learning-based personalisation of robot behaviour for robot-assisted therapy. Frontiers in Robotics and AI. 11. 1352152–1352152. 2 indexed citations
5.
Hoyt, Charles Tapley, Colin Birkenbihl, Benjamin M. Gyori, et al.. (2022). STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs. Bioinformatics. 38(6). 1648–1656. 17 indexed citations
6.
Plöger, Paul G., et al.. (2022). Quantitative Analysis of Object Detectors for Autonomous Driving and Autonomous Parking. 2022 26th International Conference on Pattern Recognition (ICPR). 3652–3659. 1 indexed citations
7.
Plöger, Paul G., et al.. (2021). Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty. OCEANS 2021: San Diego – Porto. 1–7. 2 indexed citations
8.
Gall, Jüergen, et al.. (2021). Using Visual Anomaly Detection for Task Execution Monitoring. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4604–4610. 3 indexed citations
9.
Plöger, Paul G., et al.. (2019). Virtual reality for animal navigation with camera-based optical flow tracking. Journal of Neuroscience Methods. 327. 108403–108403. 8 indexed citations
10.
Schneider, Sven, et al.. (2016). Context-Based Adaptation of In-Hand Slip Detection for Service Robots. IFAC-PapersOnLine. 49(15). 266–271. 4 indexed citations
11.
Kirchner, Nathan, et al.. (2014). A robust people detection, tracking, and counting system. UTS ePRESS (University of Technology Sydney). 9 indexed citations
12.
Hinkenjann, André, et al.. (2013). Robust indoor localization using optimal fusion filter for sensors and map layout information. 1–8. 11 indexed citations
13.
Plöger, Paul G., et al.. (2012). Categorization of External Unknown Faults in Robotics. Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences). 1 indexed citations
14.
Mueller, Christian A., et al.. (2012). Towards Scalable 3D Object Shape Categorization. Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences). 2 indexed citations
15.
Plöger, Paul G., et al.. (2006). Echo State Networks used for Motor Control. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1953–1958. 53 indexed citations
16.
Plöger, Paul G., et al.. (2004). Echo state networks for mobile robot modeling and control. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2 indexed citations
17.
Ishii, Kazuo, et al.. (2004). Optimization of parameters of echo state network and its application to underwater robot. Society of Instrument and Control Engineers of Japan. 3. 2800–2805. 8 indexed citations
18.
Zant, Tijn van der, et al.. (2004). Identification of motion with echo state network. 1205–1210 Vol.3. 43 indexed citations
19.
Plöger, Paul G., et al.. (2003). Reactive robot control using optical analog VLSI sensors. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2. 1223–1228. 3 indexed citations
20.
Plöger, Paul G., et al.. (1995). WWW based structuring of codesigns. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 138–143. 6 indexed citations

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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