Niels Haering
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Aerospace Engineering
- Co-authors
- Alan J. LiptonP.L. VenetianerNiels da Vitoria LoboM. Ibrahim SezanMun Wai LeeKhurram ShafiqueAsaad HakeemTae Eun Choe
- Topics
- Video Surveillance and Tracking Methods (16 papers)Advanced Image and Video Retrieval Techniques (15 papers)Video Analysis and Summarization (10 papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyComputer Vision and Image UnderstandingMachine Vision and Applications
- Partner nations
- United StatesChina
In The Last Decade
Niels Haering
33 papers receiving 411 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 386
- Artificial Intelligence 120
- Signal Processing 56
- Computer Networks and Communications 43
- Aerospace Engineering 31
Countries citing papers authored by Niels Haering
This map shows the geographic impact of Niels Haering'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 Niels Haering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niels Haering more than expected).
Fields of papers citing papers by Niels Haering
This network shows the impact of papers produced by Niels Haering. 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 Niels Haering. The network helps show where Niels Haering may publish in the future.
Co-authorship network of co-authors of Niels Haering
This figure shows the co-authorship network connecting the top 25 collaborators of Niels Haering. A scholar is included among the top collaborators of Niels Haering 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 Niels Haering. Niels Haering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | Map-based Active Leader-Follower Surveillance System | 5 |
| 10 | An Efficient Data Driven Algorithm for Multi-Sensor Alignment | 1 |
| 11 | 3 | |
| 12 | 24 | |
| 13 | 15 | |
| 14 | 107 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 6 | |
| 18 | A framework for the design of event detectors | 5 |
| 19 | 34 | |
| 20 | 12 |
About Niels Haering
Niels Haering is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 33 papers that have together received 462 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Video Analysis and Summarization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (386 citations), Signal Processing (56 citations) and Computational Mathematics (3 citations). Niels Haering has collaborated with scholars based in United States and China. Frequent co-authors include Alan J. Lipton, P.L. Venetianer, Niels da Vitoria Lobo, M. Ibrahim Sezan, Mun Wai Lee, Khurram Shafique, Asaad Hakeem, Tae Eun Choe, Song‐Chun Zhu and Ibrahim Sezan. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Computer Vision and Image Understanding and Machine Vision and Applications.
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.