Bernhard Rinner

5.8k total citations · 1 hit paper
213 papers, 4.1k citations indexed

About

Bernhard Rinner is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Bernhard Rinner has authored 213 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Computer Vision and Pattern Recognition, 83 papers in Computer Networks and Communications and 50 papers in Aerospace Engineering. Recurrent topics in Bernhard Rinner's work include Video Surveillance and Tracking Methods (61 papers), Distributed Control Multi-Agent Systems (33 papers) and UAV Applications and Optimization (27 papers). Bernhard Rinner is often cited by papers focused on Video Surveillance and Tracking Methods (61 papers), Distributed Control Multi-Agent Systems (33 papers) and UAV Applications and Optimization (27 papers). Bernhard Rinner collaborates with scholars based in Austria, United States and United Kingdom. Bernhard Rinner's co-authors include Thomas Winkler, Saeed Yahyanejad, Asif Khan, Evşen Yanmaz, Markus Quaritsch, Helmut Schwabach, Hermann Hellwagner, Christian Bettstetter, Michael Bramberger and Jürgen Scherer and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Sensors.

In The Last Decade

Bernhard Rinner

200 papers receiving 3.9k citations

Hit Papers

Drone networks: Communications, coordination, and sensing 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernhard Rinner Austria 31 2.1k 1.7k 1.3k 848 662 213 4.1k
Edison Pignaton de Freitas Brazil 28 497 0.2× 1.4k 0.8× 1.0k 0.8× 653 0.8× 398 0.6× 219 2.9k
Sen Wang China 34 1.3k 0.6× 621 0.4× 1.5k 1.1× 1.5k 1.7× 606 0.9× 167 4.1k
Issa Khalil United States 28 793 0.4× 2.2k 1.3× 1.6k 1.2× 1.1k 1.3× 1.0k 1.5× 106 4.7k
Zhi Liu China 36 1.1k 0.5× 2.3k 1.4× 869 0.7× 2.4k 2.8× 774 1.2× 300 5.1k
Abdallah Khreishah United States 29 901 0.4× 2.0k 1.2× 1.8k 1.4× 2.1k 2.5× 473 0.7× 146 5.1k
Chang Wook Ahn South Korea 30 1.3k 0.6× 1.9k 1.1× 1.1k 0.8× 4.0k 4.7× 935 1.4× 166 6.8k
G. Borriello United States 21 873 0.4× 1.6k 0.9× 437 0.3× 2.2k 2.7× 430 0.6× 54 3.8k
Ruchuan Wang China 30 587 0.3× 2.0k 1.2× 401 0.3× 1.6k 1.9× 760 1.1× 369 4.1k
Daxin Tian China 36 695 0.3× 1.4k 0.8× 507 0.4× 1.4k 1.6× 670 1.0× 195 4.0k
Andy Hopper United Kingdom 14 1.4k 0.7× 2.0k 1.2× 428 0.3× 2.0k 2.4× 352 0.5× 41 4.0k

Countries citing papers authored by Bernhard Rinner

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Rinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Rinner

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Rinner. A scholar is included among the top collaborators of Bernhard Rinner 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 Bernhard Rinner. Bernhard Rinner 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.
Rinner, Bernhard, et al.. (2024). Evaluation of Occupancy Detection with Distributed Environmental Sensors for IoT Applications. 416–423. 2 indexed citations
2.
Maya, Juan Augusto, et al.. (2024). Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey. IEEE Access. 12. 193332–193364. 4 indexed citations
3.
Regazzoni, Carlo S., et al.. (2020). Multisensorial Generative and Descriptive Self-Awareness Models for Autonomous Systems. Proceedings of the IEEE. 108(7). 987–1010. 22 indexed citations
4.
Hellwagner, Hermann, et al.. (2020). Distributed Task Assignment in Multi-Robot Systems based on Information Utility. 734–740. 8 indexed citations
5.
Rinner, Bernhard, et al.. (2016). Towards a Secure Key Generation and Storage Framework on Resource-Constrained Sensor Nodes. 313–318. 4 indexed citations
6.
Winkler, Thomas, et al.. (2013). Serious Fun: Cartooning for Privacy Protection. MediaEval. 10 indexed citations
7.
Yanmaz, Evşen, Markus Quaritsch, Robert Kuschnig, et al.. (2013). Flying High - Autonomous Multi-UAV System for Wide Area Coverage. National Conference on Artificial Intelligence. 1 indexed citations
8.
Dieber, Bernhard, Lukas Esterle, & Bernhard Rinner. (2012). Distributed resource-aware task assignment for complex monitoring scenarios in Visual Sensor Networks. 1–6. 18 indexed citations
9.
Khan, Umair Ali, Martin Godec, Markus Quaritsch, et al.. (2012). MobiTrick – Mobile Traffic Checker. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific. 1 indexed citations
10.
Esterle, Lukas, Bernhard Rinner, Peter R. Lewis, & Xin Yao. (2012). Improved adaptivity and robustness in decentralised multi-camera networks. Aston Publications Explorer (Aston University). 1–6. 7 indexed citations
11.
Khan, Umair Ali, Markus Quaritsch, & Bernhard Rinner. (2011). Design of a heterogeneous, energy-aware, stereo-vision based sensing platform for traffic surveillance. 47–52. 5 indexed citations
12.
Quaritsch, Markus, Robert Kuschnig, Hermann Hellwagner, & Bernhard Rinner. (2011). Fast aerial image acquisition and mosaicking for emergency response operations by collaborative UAVs.. ISCRAM. 30 indexed citations
13.
Rinner, Bernhard, et al.. (2009). Embedded realtime feature fusion based on ANN, SVM and NBC. International Conference on Information Fusion. 482–489. 7 indexed citations
14.
Rinner, Bernhard, et al.. (2006). A Middleware Framework for Dynamic Reconfiguration and Component Composition in Embedded Smart Cameras. WSEAS Transactions on Computers archive. 5(3). 574–581. 6 indexed citations
15.
Rinner, Bernhard, et al.. (2006). A light-weight publisher-subscriber middleware for dynamic reconfiguration in networks of embedded smart cameras. International Conference on Software Engineering. 133–138. 3 indexed citations
16.
Rinner, Bernhard, et al.. (2004). Synthesis of Embedded Image Processing Applications from SIMULINK Models. 10. 13–24. 1 indexed citations
17.
Rinner, Bernhard, Martin Schmid, & Reinhold Weiß. (2003). Rapid Prototyping of Flexible Embedded Systems on Multi-DSP Architectures. Design, Automation, and Test in Europe. 10204–10211.
18.
Bramberger, Michael, et al.. (2003). A Smart Camera for Traffic Surveillance. 29 indexed citations
19.
Bramberger, Michael, et al.. (2003). A Smart Traffic Camera for Stationary Vehicle Detection.. 153–164. 1 indexed citations
20.
Platzner, Marco & Bernhard Rinner. (1995). Improving Performance of the Qualitative Simulator QSIM - Design and Implementation of a Specialized Computer Architecture. 1 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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