Tobias Senst

969 total citations
25 papers, 550 citations indexed

About

Tobias Senst is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tobias Senst has authored 25 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Tobias Senst's work include Video Surveillance and Tracking Methods (13 papers), Advanced Vision and Imaging (11 papers) and Anomaly Detection Techniques and Applications (10 papers). Tobias Senst is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Advanced Vision and Imaging (11 papers) and Anomaly Detection Techniques and Applications (10 papers). Tobias Senst collaborates with scholars based in Germany and United Kingdom. Tobias Senst's co-authors include Thomas Sikora, Erik Bochinski, Volker Eiselein, Alexander Kühn, Holger Theisel, T. Sikora, Şahin Albayrak, Bernd Michaelis, Brigitte Unger and Ayoub Al-Hamadi and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Tobias Senst

25 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tobias Senst Germany 11 440 220 56 33 33 25 550
T. Huang United States 4 360 0.8× 119 0.5× 51 0.9× 33 1.0× 38 1.2× 8 448
Ben Benfold United Kingdom 7 564 1.3× 215 1.0× 80 1.4× 23 0.7× 40 1.2× 8 638
Martin Godec Austria 9 557 1.3× 194 0.9× 89 1.6× 25 0.8× 31 0.9× 16 729
A. Mittal India 10 570 1.3× 97 0.4× 59 1.1× 20 0.6× 42 1.3× 27 692
Guibo Zhu China 13 399 0.9× 157 0.7× 64 1.1× 15 0.5× 63 1.9× 33 551
Jeany Son South Korea 8 330 0.8× 110 0.5× 56 1.0× 11 0.3× 38 1.2× 15 420
Juan C. SanMiguel Spain 16 504 1.1× 186 0.8× 58 1.0× 30 0.9× 45 1.4× 56 627
Guoqing Jin China 10 175 0.4× 125 0.6× 31 0.6× 29 0.9× 22 0.7× 34 420
Jiarui Xu China 6 579 1.3× 219 1.0× 51 0.9× 10 0.3× 35 1.1× 11 704

Countries citing papers authored by Tobias Senst

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Senst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Senst

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Senst. A scholar is included among the top collaborators of Tobias Senst 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 Tobias Senst. Tobias Senst 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.
Bochinski, Erik, Tobias Senst, & Thomas Sikora. (2018). Extending IOU Based Multi-Object Tracking by Visual Information. 1–6. 131 indexed citations
2.
Senst, Tobias, Volker Eiselein, Alexander Kühn, & Thomas Sikora. (2017). Crowd Violence Detection Using Global Motion-Compensated Lagrangian Features and Scale-Sensitive Video-Level Representation. IEEE Transactions on Information Forensics and Security. 12(12). 2945–2956. 62 indexed citations
3.
Senst, Tobias, et al.. (2016). Robust local optical flow: Dense motion vector field interpolation. 3024. 1–5. 2 indexed citations
4.
Senst, Tobias, Volker Eiselein, & T. Sikora. (2015). A Local Feature based on Lagrangian Measures for Violent Video Classification. 6 (6 .)–6 (6 .). 15 indexed citations
5.
Senst, Tobias, et al.. (2014). Cross based robust local optical flow. 26. 1967–1971. 4 indexed citations
6.
Senst, Tobias, et al.. (2014). Crowd analysis in non-static cameras using feature tracking and multi-person density. 9. 6041–6045. 3 indexed citations
7.
Senst, Tobias, et al.. (2013). Robust local optical flow estimation using bilinear equations for sparse motion estimation. 2499–2503. 7 indexed citations
8.
Eiselein, Volker, Tobias Senst, Ianus Keller, & T. Sikora. (2013). A motion-enhanced hybrid Probability Hypothesis Density filter for real-time multi-human tracking in video surveillance scenarios. 2. 6–13. 3 indexed citations
9.
Senst, Tobias, et al.. (2013). A decentralized privacy-sensitive video surveillance framework. 39. 1–6. 4 indexed citations
10.
Senst, Tobias, et al.. (2012). Clustering Motion for Real-Time Optical Flow Based Tracking. 410–415. 5 indexed citations
11.
Senst, Tobias, Alexander Kühn, Holger Theisel, & Thomas Sikora. (2012). Detecting People Carrying Objects Utilizing Lagrangian Dynamics. 38. 398–403. 10 indexed citations
12.
Senst, Tobias, et al.. (2012). Human action recognition using Lagrangian descriptors. 360–365. 12 indexed citations
13.
Kühn, Alexander, et al.. (2012). A Lagrangian framework for video analytics. 38. 387–392. 16 indexed citations
14.
Senst, Tobias, et al.. (2012). PERFORMANCE EVALUATION OF FEATURE DETECTION FOR LOCAL OPTICAL FLOW TRACKING. 303–309. 3 indexed citations
15.
Senst, Tobias, et al.. (2011). Efficient real-time local optical flow estimation by means of integral projections. 2345–2348. 2 indexed citations
16.
Senst, Tobias, et al.. (2011). Detection of static objects for the task of video surveillance. 534–540. 25 indexed citations
17.
Senst, Tobias, et al.. (2011). On building decentralized wide-area surveillance networks based on ONVIF. 152. 420–423. 6 indexed citations
18.
Senst, Tobias, et al.. (2011). Robust modified L<sup>2</sup> local optical flow estimation and feature tracking. 685–690. 13 indexed citations
19.
Senst, Tobias, et al.. (2010). TOWARDS DETECTING PEOPLE CARRYING OBJECTS - A Periodicity Dependency Pattern Approach. 524–529. 3 indexed citations
20.
Al-Hamadi, Ayoub, et al.. (2009). Multi-object tracking using semantic analysis and Kalman filter. 1. 271–276. 2 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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