Michael Arens
Impact in
- Geology top 2%
- 3D Surveying and Cultural Heritage
-
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Video Surveillance and Tracking Methods 41
- Advanced Image and Video Retrieval Techniques 22
- Advanced Vision and Imaging 17
- Human Pose and Action Recognition 16
-
- Robotics and Sensor-Based Localization 36
- Infrared Target Detection Methodologies 16
- Co-authors
- Marcus Hebel (29 shared papers)David Münch (12 shared papers)Uwe Stilla (15 shared papers)Christoph Bodensteiner (22 shared papers)Wolfgang Hübner (16 shared papers)Hassan Gargouri (7 shared papers)Stefan Becker (13 shared papers)Karsten Henkel (3 shared papers)
In The Last Decade
Michael Arens
125 papers receiving 1.8k citations
Michael Arens's Hit Papers
Peers
Comparison fields: 5 of 145
- Geology 178
- Computer Vision and Pattern Recognition 630
- Instrumentation 95
- Environmental Engineering 264
- Aerospace Engineering 428
Countries citing papers authored by Michael Arens
This map shows the geographic impact of Michael Arens'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 Michael Arens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Arens more than expected).
Fields of papers citing papers by Michael Arens
This network shows the impact of papers produced by Michael Arens. 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 Michael Arens. The network helps show where Michael Arens may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Arens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Hit paper breakdown → | 2021 | 242 |
| 2 | 2013 | 98 | |
| 3 | 1999 | 89 | |
| 4 | 2013 | 74 | |
| 5 | 2017 | 73 | |
| 6 | 2016 | 62 | |
| 7 | 1963 | 55 | |
| 8 | 2018 | 42 | |
| 9 | 2011 | 40 | |
| 10 | 2009 | 38 | |
| 11 | 2020 | 36 | |
| 12 | 2019 | 30 | |
| 13 | 2014 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2018 | 28 | |
| 17 | 2015 | 28 | |
| 18 | 2018 | 27 | |
| 19 | 2010 | 26 | |
| 20 | 2013 | 25 |
About Michael Arens
Michael Arens is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Environmental Engineering and Artificial Intelligence, having authored 139 papers that have together received 1.8k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (41 papers), Robotics and Sensor-Based Localization (36 papers), Advanced Image and Video Retrieval Techniques (22 papers), Remote Sensing and LiDAR Applications (21 papers), Advanced Vision and Imaging (17 papers), Infrared Target Detection Methodologies (16 papers), Human Pose and Action Recognition (16 papers) and 3D Surveying and Cultural Heritage (15 papers). The work is most often cited by research in Geology (178 citations), Computer Vision and Pattern Recognition (630 citations), Instrumentation (95 citations), Environmental Engineering (264 citations) and Aerospace Engineering (428 citations). Michael Arens has collaborated with scholars based in Germany, Israel and France. Frequent co-authors include Marcus Hebel, David Münch, Uwe Stilla, Christoph Bodensteiner, Wolfgang Hübner, Hassan Gargouri, Stefan Becker, Karsten Henkel, Dieter Schmeißer and Bernd Gruska. Their work appears in journals such as Surface Science, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Sensors, AIAA Journal and Applied Sciences.
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.