Oswald Lanz

1.9k citations
58 papers · 1.0k · h-index 18

Impact in

Papers in

Oswald Lanz

52 papers receiving 1.0k citations

Peers

Oswald Lanz
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 723
  • Human-Computer Interaction 90
  • Signal Processing 157
  • Artificial Intelligence 366
  • Social Psychology 108
Replace Raymond Ptucha with:
Raymond Ptucha United States
Songfan Yang United States
Loris Bazzani Italy
Yunhao Liu China
Julio C. S. Jacques Brazil
Alla Safonova United States
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Emmanuel Dellandréa France
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Citations per field
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Citations per year

Countries citing papers authored by Oswald Lanz

Since Specialization
Citations

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

Fields of papers citing papers by Oswald Lanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Oswald Lanz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oswald Lanz Line = papers co-authored together Oswald Lanz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006113
2 2015104
3 201396
4 201589
5 201062
6 201554
7 201353
8 201939
9 201337
10 201335
11 201534
12 201423
13 202123
14 201420
15 201719
16 202318
17 201817
18 201917
19 202216
20 200715

About Oswald Lanz

Oswald Lanz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Aerospace Engineering and Biomedical Engineering, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (23 papers), Human Pose and Action Recognition (21 papers), Advanced Vision and Imaging (12 papers), Anomaly Detection Techniques and Applications (8 papers), Speech and Audio Processing (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Robotics and Sensor-Based Localization (6 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (723 citations), Human-Computer Interaction (90 citations), Signal Processing (157 citations), Artificial Intelligence (366 citations) and Social Psychology (108 citations). Oswald Lanz has collaborated with scholars based in Italy, United Kingdom and Singapore. Frequent co-authors include Elisa Ricci, Nicu Sebe, Ramanathan Subramanian, Yan Yan, Bruno Lepri, Xavier Alameda-Pineda, Jacopo Staiano, Andrea Cavallaro, Alessio Brutti and Samuel Rota Bulò. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, International Journal of Computer Vision, Computer Vision and Image Understanding and Computers in Industry.

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.

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