Christian Leistner
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Horst BischofAmir SaffariSamuel SchulterMartin GodecJavier CiveraThomas PockLuc Van GoolJüergen Gall
- Topics
- Video Surveillance and Tracking Methods (19 papers)Advanced Image and Video Retrieval Techniques (17 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Intelligent Systems2009 IEEE Conference on Computer Vision and Pattern Recognition
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Christian Leistner
34 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 524
- Media Technology 375
- Aerospace Engineering 169
- Electrical and Electronic Engineering 111
Countries citing papers authored by Christian Leistner
This map shows the geographic impact of Christian Leistner'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 Christian Leistner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Leistner more than expected).
Fields of papers citing papers by Christian Leistner
This network shows the impact of papers produced by Christian Leistner. 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 Christian Leistner. The network helps show where Christian Leistner may publish in the future.
Co-authorship network of co-authors of Christian Leistner
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Leistner. A scholar is included among the top collaborators of Christian Leistner 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 Christian Leistner. Christian Leistner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 168 | |
| 3 | 42 | |
| 4 | 31 | |
| 5 | 269 | |
| 6 | 73 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 335 | |
| 11 | 21 | |
| 12 | 86 | |
| 13 | Speeding Up Semi-Supervised On-line Boosting for Tracking | 2 |
| 14 | 20 | |
| 15 | Interactive Learning a Person Detector: Fewer Clicks - Less Frustration | 5 |
| 16 | 30 | |
| 17 | 10 | |
| 18 | 11 | |
| 19 | TIME DEPENDENT ON-LINE BOOSTING FOR ROBUST BACKGROUND MODELING | 1 |
| 20 | 28 |
About Christian Leistner
Christian Leistner is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (19 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (375 citations) and Human-Computer Interaction (95 citations). Christian Leistner has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Horst Bischof, Amir Saffari, Samuel Schulter, Martin Godec, Javier Civera, Thomas Pock, Luc Van Gool, Jüergen Gall, Matthias Dantone and C. Schmid. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Intelligent Systems and 2009 IEEE Conference on Computer Vision and Pattern Recognition.
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.