Jan Hosang

4.7k total citations · 4 hit papers
10 papers, 2.4k citations indexed

About

Jan Hosang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jan Hosang has authored 10 papers receiving a total of 2.4k 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 Aerospace Engineering. Recurrent topics in Jan Hosang's work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Jan Hosang is often cited by papers focused on Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Jan Hosang collaborates with scholars based in Germany, United States and Canada. Jan Hosang's co-authors include Rodrigo Benenson, Bernt Schiele, Mohamed Omran, Piotr Dollár, Matthias Hein, Anna Khoreva, Shanshan Zhang, Andrea Tagliasacchi, Kwang Moo Yi and Eduard Trulls and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Human-Machine Systems and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Jan Hosang

10 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

What Makes for Effective Detection Proposals?

2015 495 citations Jan Hosang, Rodrigo Benenson et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Simple Does It: Weakly Supervised Instance and Semantic Segmentation

2017 468 citations Anna Khoreva, Rodrigo Benenson et al. profile →
Learning Non-maximum Suppression

2017 438 citations Jan Hosang, Rodrigo Benenson et al. profile →
How Far are We from Solving Pedestrian Detection?

2016 276 citations Shanshan Zhang, Rodrigo Benenson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Hosang Germany	9	2.0k	562	324	195	191	10	2.4k
Zhaowei Cai United States	9	1.6k 0.8×	588 1.0×	260 0.8×	152 0.8×	207 1.1×	15	2.2k
Xizhou Zhu China	15	1.9k 1.0×	644 1.1×	321 1.0×	227 1.2×	249 1.3×	25	2.7k
Eduardo Romera Spain	18	1.5k 0.8×	394 0.7×	407 1.3×	376 1.9×	170 0.9×	27	2.0k
Kaiwen Duan China	10	1.8k 0.9×	429 0.8×	486 1.5×	120 0.6×	274 1.4×	19	2.6k
Longyin Wen China	27	2.4k 1.2×	554 1.0×	508 1.6×	190 1.0×	192 1.0×	49	2.8k
Ming Tang China	25	1.7k 0.9×	558 1.0×	263 0.8×	129 0.7×	216 1.1×	110	2.3k
Dawei Du United States	22	1.8k 0.9×	529 0.9×	516 1.6×	178 0.9×	200 1.0×	41	2.3k
Roberto Arroyo Spain	18	1.5k 0.8×	447 0.8×	436 1.3×	448 2.3×	367 1.9×	28	2.4k
Jiangmiao Pang China	15	2.5k 1.3×	847 1.5×	691 2.1×	165 0.8×	305 1.6×	31	3.2k

Countries citing papers authored by Jan Hosang

Since Specialization

Citations

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

Fields of papers citing papers by Jan Hosang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hosang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Aiger, Dror, Simon Lynen, Jan Hosang, & Bernhard Zeisl. (2021). Efficient Large Scale Inlier Voting for Geometric Vision Problems. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3223–3231. 2 indexed citations

2.

Jiang, Wei, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, & Kwang Moo Yi. (2021). COTR: Correspondence Transformer for Matching Across Images. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6187–6197. 169 indexed citations

3.

Khoreva, Anna, Rodrigo Benenson, Jan Hosang, Matthias Hein, & Bernt Schiele. (2017). Simple Does It: Weakly Supervised Instance and Semantic Segmentation. 1665–1674. 468 indexed citations breakdown →

4.

Zhang, Shanshan, Rodrigo Benenson, Mohamed Omran, Jan Hosang, & Bernt Schiele. (2017). Towards Reaching Human Performance in Pedestrian Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(4). 973–986. 137 indexed citations

5.

Hosang, Jan, Rodrigo Benenson, & Bernt Schiele. (2017). Learning Non-maximum Suppression. 6469–6477. 438 indexed citations breakdown →

6.

Zhang, Shanshan, Rodrigo Benenson, Mohamed Omran, Jan Hosang, & Bernt Schiele. (2016). How Far are We from Solving Pedestrian Detection?. 1259–1267. 276 indexed citations breakdown →

7.

Hosang, Jan, Mohamed Omran, Rodrigo Benenson, & Bernt Schiele. (2015). Taking a deeper look at pedestrians. 4073–4082. 188 indexed citations

8.

Hosang, Jan, Rodrigo Benenson, Piotr Dollár, & Bernt Schiele. (2015). What Makes for Effective Detection Proposals?. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(4). 814–830. 495 indexed citations breakdown →

9.

Hosang, Jan, Rodrigo Benenson, & Bernt Schiele. (2014). How good are detection proposals, really?. 24.1–24.12. 138 indexed citations

10.

Deselaers, Thomas, Daniel Keysers, Jan Hosang, & Henry A. Rowley. (2014). GyroPen: Gyroscopes for Pen-Input With Mobile Phones. IEEE Transactions on Human-Machine Systems. 45(2). 263–271. 58 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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