Hanno Ackermann

646 total citations
19 papers, 274 citations indexed

About

Hanno Ackermann is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ocean Engineering. According to data from OpenAlex, Hanno Ackermann has authored 19 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Ocean Engineering. Recurrent topics in Hanno Ackermann's work include Advanced Vision and Imaging (12 papers), Optical measurement and interference techniques (7 papers) and Human Pose and Action Recognition (5 papers). Hanno Ackermann is often cited by papers focused on Advanced Vision and Imaging (12 papers), Optical measurement and interference techniques (7 papers) and Human Pose and Action Recognition (5 papers). Hanno Ackermann collaborates with scholars based in Germany, Netherlands and Japan. Hanno Ackermann's co-authors include Bodo Rosenhahn, Michael Ying Yang, Wentong Liao, Yuren Cong, Nils Hasler, Thorsten Thormählen, Hans‐Peter Seidel, Kenichi Kanatani, Yasuyuki Sugaya and Jörn Östermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Hanno Ackermann

18 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanno Ackermann Germany 6 229 59 58 18 17 19 274
Rohit Mohan India 8 166 0.7× 52 0.9× 34 0.6× 12 0.7× 13 0.8× 24 257
Shiyi Lan United States 5 208 0.9× 52 0.9× 100 1.7× 6 0.3× 6 0.4× 6 310
Hong Mo China 5 208 0.9× 61 1.0× 28 0.5× 4 0.2× 65 3.8× 7 246
Yunqiang Duan China 5 173 0.8× 131 2.2× 22 0.4× 9 0.5× 21 1.2× 8 287
Carlos Vallespi-Gonzalez United States 4 98 0.4× 31 0.5× 43 0.7× 4 0.2× 8 0.5× 7 197
Alessio Tonioni Italy 11 284 1.2× 84 1.4× 27 0.5× 4 0.2× 24 1.4× 18 391
JunYoung Gwak United States 6 184 0.8× 28 0.5× 107 1.8× 8 0.4× 11 0.6× 6 239
Seung‐Wook Kim South Korea 9 294 1.3× 32 0.5× 9 0.2× 15 0.8× 8 0.5× 19 327
Boyu Wang United States 9 79 0.3× 40 0.7× 20 0.3× 45 2.5× 6 0.4× 24 235

Countries citing papers authored by Hanno Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Hanno Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanno Ackermann

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

All Works

19 of 19 papers shown
1.
Cong, Yuren, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, & Michael Ying Yang. (2021). Spatial-Temporal Transformer for Dynamic Scene Graph Generation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16352–16362. 95 indexed citations
2.
Ackermann, Hanno, et al.. (2018). Object Recognition from very few Training Examples for Enhancing Bicycle Maps. University of Twente Research Information. 1–8. 11 indexed citations
3.
Ackermann, Hanno, et al.. (2018). Region-based Cycle-Consistent Data Augmentation for Object Detection. 5205–5211. 17 indexed citations
4.
Ackermann, Hanno, et al.. (2018). Physical High Dynamic Range Imaging with Conventional Sensors. 30. 209–213. 1 indexed citations
5.
Ackermann, Hanno, et al.. (2017). Projective structure from facial motion. 298–301. 2 indexed citations
6.
Yang, Michael Ying, Wentong Liao, Hanno Ackermann, & Bodo Rosenhahn. (2017). On support relations and semantic scene graphs. ISPRS Journal of Photogrammetry and Remote Sensing. 131. 15–25. 27 indexed citations
7.
Yang, Michael Ying, et al.. (2017). Motion Segmentation Using Global and Local Sparse Subspace Optimization. Photogrammetric Engineering & Remote Sensing. 83(11). 769–778. 1 indexed citations
8.
Ackermann, Hanno, et al.. (2017). Apathy Is the Root of All Expressions. 34. 658–665. 5 indexed citations
9.
Ackermann, Hanno, et al.. (2016). In-loop radial distortion compensation for long-term mosaicing of aerial videos. 12. 2961–2965. 1 indexed citations
10.
Ackermann, Hanno, et al.. (2016). 3D Reconstruction of Human Motion from Monocular Image Sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(8). 1505–1516. 25 indexed citations
11.
Yang, Michael Ying, et al.. (2015). GLOBAL AND LOCAL SPARSE SUBSPACE OPTIMIZATION FOR MOTION SEGMENTATION. SHILAP Revista de lepidopterología. II-3/W5. 475–482. 3 indexed citations
12.
Ackermann, Hanno, et al.. (2015). 3D human motion capture from monocular image sequences. 3 indexed citations
13.
Ackermann, Hanno & Bodo Rosenhahn. (2011). Projective Reconstruction from Incomplete Trajectories by Global and Local Constraints. 22. 77–86. 1 indexed citations
14.
Hasler, Nils, Hanno Ackermann, Bodo Rosenhahn, Thorsten Thormählen, & Hans‐Peter Seidel. (2010). Multilinear pose and body shape estimation of dressed subjects from image sets. Max Planck Institute for Plasma Physics. 1823–1830. 69 indexed citations
15.
Ackermann, Hanno & Bodo Rosenhahn. (2009). Trajectory reconstruction for affine structure-from-motion by global and local constraints. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2890–2897. 2 indexed citations
16.
Ackermann, Hanno & Kenichi Kanatani. (2008). Fast Projective Reconstruction: Toward Ultimate Efficiency. 4. 257–267. 1 indexed citations
17.
Ackermann, Hanno & Kenichi Kanatani. (2007). Robust and Efficient 3-D Reconstruction by Self-Calibration.. Machine Vision and Applications. 178–181. 5 indexed citations
18.
Kanatani, Kenichi, Yasuyuki Sugaya, & Hanno Ackermann. (2007). Uncalibrated Factorization Using a Variable Symmetric Affine Camera. IEICE Transactions on Information and Systems. E90-D(5). 851–858. 5 indexed citations
19.
Kanatani, Kenichi, et al.. (2005). 3-D Reconstruction by Uncalibrated Factorization: Comparative Experiments. 2005(112). 145–152.

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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