Ingo Bax

1.8k total citations · 1 hit paper
9 papers, 985 citations indexed

About

Ingo Bax is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Ingo Bax has authored 9 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Ingo Bax's work include Human Pose and Action Recognition (3 papers), Hand Gesture Recognition Systems (3 papers) and Multimodal Machine Learning Applications (2 papers). Ingo Bax is often cited by papers focused on Human Pose and Action Recognition (3 papers), Hand Gesture Recognition Systems (3 papers) and Multimodal Machine Learning Applications (2 papers). Ingo Bax collaborates with scholars based in Germany, South Africa and Canada. Ingo Bax's co-authors include Roland Memisevic, Joanna Materzyńska, Valentin Haenel, Ingo Fruend, Samira Ebrahimi Kahou, Christian Thurau, Vincent Michalski, P.N. Yianilos, Heuna Kim and Florian Hoppe and has published in prestigious journals such as Machine Vision and Applications, Pattern Recognition and Image Analysis and International Conference on Learning Representations.

In The Last Decade

Ingo Bax

6 papers receiving 953 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.

The “Something Something” Video Database for Learning and Evaluating Visual Common Sense

2017 772 citations Raghav Goyal, Samira Ebrahimi Kahou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ingo Bax Germany	5	880	490	197	182	58	9	985
Bin Ji China	9	650 0.7×	389 0.8×	247 1.3×	105 0.6×	31 0.5×	30	822
Haodong Duan China	9	532 0.6×	279 0.6×	222 1.1×	154 0.8×	26 0.4×	18	629
Ingo Fruend Canada	5	728 0.8×	432 0.9×	139 0.7×	66 0.4×	37 0.6×	6	799
Zhenghao Chen China	4	675 0.8×	336 0.7×	394 2.0×	187 1.0×	32 0.6×	12	737
Muhammad Muneeb Ullah Switzerland	3	930 1.1×	421 0.9×	239 1.2×	169 0.9×	23 0.4×	6	975
Congqi Cao China	11	509 0.6×	274 0.6×	260 1.3×	294 1.6×	64 1.1×	26	690
Raghav Goyal Hong Kong	3	719 0.8×	438 0.9×	145 0.7×	66 0.4×	37 0.6×	5	790
Valentin Haenel United Kingdom	2	716 0.8×	433 0.9×	139 0.7×	66 0.4×	37 0.6×	2	776
Heuna Kim South Korea	2	722 0.8×	431 0.9×	139 0.7×	66 0.4×	37 0.6×	2	781
Yuxin Chen China	7	637 0.7×	363 0.7×	328 1.7×	157 0.9×	18 0.3×	18	716

Countries citing papers authored by Ingo Bax

Since Specialization

Citations

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

Fields of papers citing papers by Ingo Bax

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Bax

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Bax. A scholar is included among the top collaborators of Ingo Bax 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 Ingo Bax. Ingo Bax 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:

9 of 9 papers shown

1.

Materzyńska, Joanna, et al.. (2019). The Jester Dataset: A Large-Scale Video Dataset of Human Gestures. 2874–2882. 155 indexed citations

2.

Goyal, Raghav, et al.. (2018). Evaluating visual "common sense" using fine-grained classification and captioning tasks.. International Conference on Learning Representations.

3.

Goyal, Raghav, Samira Ebrahimi Kahou, Vincent Michalski, et al.. (2017). The “Something Something” Video Database for Learning and Evaluating Visual Common Sense. 5843–5851. 772 indexed citations breakdown →

4.

Bax, Ingo, et al.. (2010). Tagmantic. 345–346. 1 indexed citations

5.

Heidemann, Gunther, et al.. (2007). Interactive online learning. Pattern Recognition and Image Analysis. 17(1). 146–152. 7 indexed citations

6.

Bax, Ingo, Gunther Heidemann, & Helge Ritter. (2005). Using Non-negative Sparse Profiles in a Hierarchical Feature Extraction Network. PUB – Publications at Bielefeld University (Bielefeld University). 9. 464–467.

7.

Bax, Ingo, Gunther Heidemann, & Helge Ritter. (2005). <title>A hierarchical feed-forward network for object detection tasks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5818. 144–152.

8.

Heidemann, Gunther, et al.. (2004). Integrating context-free and context-dependent attentional mechanisms for gestural object reference. Machine Vision and Applications. 16(1). 64–73. 16 indexed citations

9.

Heidemann, Gunther, et al.. (2004). Multimodal interaction in an augmented reality scenario. 53–60. 34 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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