Karl Amende

894 total citations · 1 hit paper
2 papers, 283 citations indexed

About

Karl Amende is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Karl Amende has authored 2 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Civil and Structural Engineering, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Ocean Engineering. Recurrent topics in Karl Amende's work include Human Pose and Action Recognition (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Geophysical Methods and Applications (1 paper). Karl Amende is often cited by papers focused on Human Pose and Action Recognition (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Geophysical Methods and Applications (1 paper). Karl Amende collaborates with scholars based in Germany and France. Karl Amende's co-authors include Horst–Michael Groß, Markus Eisenbach, Ronny Stricker, Klaus Debes, Daniel Seichter and Stefan Milz and has published in prestigious journals such as .

In The Last Decade

Karl Amende

2 papers receiving 275 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.

How to get pavement distress detection ready for deep learning? A systematic approach

2017 281 citations Markus Eisenbach, Ronny Stricker et al. profile →

Peers

Countries citing papers authored by Karl Amende

Since Specialization

Citations

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

Fields of papers citing papers by Karl Amende

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Amende

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

2 of 2 papers shown

#	Work	Indexed citations
1	Robust Semantic Video Segmentation through Confidence-based Feature Map Warping 2019 ·(unknown), Karl Amende, Stefan Milz, Horst–Michael Groß	2
2	How to get pavement distress detection ready for deep learning? A systematic approach breakdown → 2017 ·Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, (unknown), (unknown), (unknown), Horst–Michael Groß	281

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.

Explore authors with similar magnitude of impact