Juergen Luettin
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 0.2%
- Experimental and Cognitive Psychology top 1%
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Beat FaselStéphane DupontGilbert MaîtreJiřı́ MatasJosef KittlerC. NetiGerasimos PotamianosS.W. Beet
- Topics
- Speech and Audio Processing (24 papers)Face recognition and analysis (11 papers)Music and Audio Processing (10 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Juergen Luettin
46 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 2.5k
- Signal Processing 1.9k
- Experimental and Cognitive Psychology 897
- Artificial Intelligence 735
- Cognitive Neuroscience 269
Countries citing papers authored by Juergen Luettin
This map shows the geographic impact of Juergen Luettin'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 Juergen Luettin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juergen Luettin more than expected).
Fields of papers citing papers by Juergen Luettin
This network shows the impact of papers produced by Juergen Luettin. 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 Juergen Luettin. The network helps show where Juergen Luettin may publish in the future.
Co-authorship network of co-authors of Juergen Luettin
This figure shows the co-authorship network connecting the top 25 collaborators of Juergen Luettin. A scholar is included among the top collaborators of Juergen Luettin 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 Juergen Luettin. Juergen Luettin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | OFF-LINE CURSIVE SCRIPT RECOGNITION BASED ON CONTINUOUS DENSITY HMM | 31 |
| 5 | 57 | |
| 6 | 98 | |
| 7 | 58 | |
| 8 | 409 | |
| 9 | A Survey of Text Detection and Recognition in Images and Videos | 22 |
| 10 | Multiple Hypotheses Video OCR | 1 |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | Fast Face Detection using MLP and FFT | 40 |
| 15 | 16 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 75 | |
| 19 | 8 | |
| 20 | 47 |
About Juergen Luettin
Juergen Luettin is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Pharmacy, having authored 46 papers that have together received 3.8k indexed citations. Recurring topics across this work include Speech and Audio Processing (24 papers), Face recognition and analysis (11 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (1.9k citations), Computer Vision and Pattern Recognition (2.5k citations) and Experimental and Cognitive Psychology (897 citations). Juergen Luettin has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Beat Fasel, Stéphane Dupont, Gilbert Maître, Jiřı́ Matas, Josef Kittler, C. Neti, Gerasimos Potamianos, S.W. Beet, N. A. Thacker and Alessandro Vinciarelli. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and IEEE Transactions on Multimedia.
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.