Roberto Henschel

1.9k total citations · 1 hit paper
10 papers, 389 citations indexed

About

Roberto Henschel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Roberto Henschel has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Roberto Henschel's work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Roberto Henschel is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Roberto Henschel collaborates with scholars based in Germany and United States. Roberto Henschel's co-authors include Bodo Rosenhahn, Laura Leal-Taixé, Daniel Cremers, Shant Navasardyan, Zhangyang Wang, Humphrey Shi, Timo von Marcard, Paul Swoboda, Daniel Sonntag and Manh-Duy Nguyen and has published in prestigious journals such as IEEE Transactions on Image Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Roberto Henschel

10 papers receiving 377 citations

Hit Papers

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Henschel Germany 8 351 81 39 37 33 10 389
Chongjian Ge Hong Kong 8 264 0.8× 74 0.9× 6 0.2× 25 0.7× 16 0.5× 9 350
Graeme A. Jones United Kingdom 7 272 0.8× 46 0.6× 12 0.3× 54 1.5× 7 0.2× 14 316
Changjae Oh United Kingdom 11 288 0.8× 44 0.5× 5 0.1× 25 0.7× 23 0.7× 44 392
Daesik Jang South Korea 8 370 1.1× 69 0.9× 7 0.2× 60 1.6× 12 0.4× 19 435
A. Jain United States 4 405 1.2× 55 0.7× 12 0.3× 16 0.4× 43 1.3× 5 431
Jifei Song United Kingdom 9 528 1.5× 104 1.3× 15 0.4× 32 0.9× 19 0.6× 12 574
Ryo Hachiuma Japan 8 113 0.3× 55 0.7× 5 0.1× 17 0.5× 20 0.6× 33 179
Xuanyao Chen China 4 198 0.6× 33 0.4× 8 0.2× 113 3.1× 10 0.3× 4 288
Cuong Cao Pham South Korea 10 271 0.8× 33 0.4× 9 0.2× 42 1.1× 7 0.2× 16 319

Countries citing papers authored by Roberto Henschel

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Henschel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Henschel

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Henschel. A scholar is included among the top collaborators of Roberto Henschel 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 Roberto Henschel. Roberto Henschel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Henschel, Roberto, et al.. (2025). StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text. 2568–2577. 4 indexed citations
2.
Li, Jiachen, et al.. (2024). Video Instance Matting. 6654–6663. 3 indexed citations
3.
Henschel, Roberto, et al.. (2023). Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators. 15908–15918. 143 indexed citations breakdown →
4.
Nguyen, Manh-Duy, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, & Paul Swoboda. (2022). LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8856–8865. 27 indexed citations
5.
Henschel, Roberto, Timo von Marcard, & Bodo Rosenhahn. (2020). Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs. IEEE Transactions on Image Processing. 29. 8476–8489. 15 indexed citations
6.
Henschel, Roberto, et al.. (2019). Multiple People Tracking Using Body and Joint Detections. 770–779. 63 indexed citations
7.
Henschel, Roberto, Timo von Marcard, & Bodo Rosenhahn. (2019). Simultaneous Identification and Tracking of Multiple People Using Video and IMUs. 780–789. 19 indexed citations
8.
Henschel, Roberto, Laura Leal-Taixé, Daniel Cremers, & Bodo Rosenhahn. (2018). Fusion of Head and Full-Body Detectors for Multi-object Tracking. 1509–150909. 93 indexed citations
9.
Henschel, Roberto, Laura Leal-Taixé, Daniel Cremers, & Bodo Rosenhahn. (2017). Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking.. arXiv (Cornell University). 13 indexed citations
10.
Henschel, Roberto, Laura Leal-Taixé, Daniel Cremers, & Bodo Rosenhahn. (2017). A Novel Multi-Detector Fusion Framework for Multi-Object Tracking. arXiv (Cornell University). 9 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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