Gloria Zen
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Signal Processing
- Co-authors
- Elisa RicciNicu SebeEnver SanginetoBruno LepriOswald LanzLorenzo PorziStefano MesselodiCésar A. Hidalgo
- Topics
- Video Surveillance and Tracking Methods (7 papers)Advanced Image and Video Retrieval Techniques (5 papers)Human Pose and Action Recognition (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionExperimental and Cognitive PsychologyHuman-Computer Interaction
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Computing SurveysIEEE Transactions on Multimedia
- Partner nations
- ItalyUnited StatesRomania
In The Last Decade
Gloria Zen
13 papers receiving 391 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 227
- Experimental and Cognitive Psychology 140
- Artificial Intelligence 129
- Cognitive Neuroscience 53
- Signal Processing 36
Countries citing papers authored by Gloria Zen
This map shows the geographic impact of Gloria Zen'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 Gloria Zen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria Zen more than expected).
Fields of papers citing papers by Gloria Zen
This network shows the impact of papers produced by Gloria Zen. 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 Gloria Zen. The network helps show where Gloria Zen may publish in the future.
Co-authorship network of co-authors of Gloria Zen
This figure shows the co-authorship network connecting the top 25 collaborators of Gloria Zen. A scholar is included among the top collaborators of Gloria Zen 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 Gloria Zen. Gloria Zen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 14 | |
| 3 | 65 | |
| 4 | 37 | |
| 5 | 9 | |
| 6 | Enhanced Semantic Descriptors for Functional Scene Categorization | 0 |
| 7 | 98 | |
| 8 | 32 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 25 | |
| 12 | 29 | |
| 13 | 5 | |
| 14 | 62 |
About Gloria Zen
Gloria Zen is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Transportation, having authored 14 papers that have together received 400 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Experimental and Cognitive Psychology (140 citations) and Human-Computer Interaction (31 citations). Gloria Zen has collaborated with scholars based in Italy, United States and Romania. Frequent co-authors include Elisa Ricci, Nicu Sebe, Enver Sangineto, Bruno Lepri, Oswald Lanz, Lorenzo Porzi, Stefano Messelodi, César A. Hidalgo, Nikhil Naik and Marco De Nadai. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys 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.