Davide Baltieri
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
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- Gait Recognition and Analysis
Papers in
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- Video Surveillance and Tracking Methods 7
- Human Pose and Action Recognition 5
- Face recognition and analysis 1
- Advanced Vision and Imaging 1
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- Gait Recognition and Analysis 4
- Co-authors
- Rita Cucchiara (7 shared papers)Roberto Vezzani (7 shared papers)Csaba Benedek (1 shared paper)Tamás Szirányi (1 shared paper)Cristina M. Pinotti (1 shared paper)Lara Maistrello (1 shared paper)Alfredo Navarra (1 shared paper)Daniele Giannetti (1 shared paper)
- Journals
- ACM Computing Surveys (1 paper)International Journal of Computer Vision (1 paper)SZTAKI Publication Repository (Hungarian Academy of Sciences) (1 paper)IRIS UNIMORE (University of Modena and Reggio Emilia) (4 papers)Florence Research (University of Florence) (1 paper)
In The Last Decade
Davide Baltieri
8 papers receiving 433 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 431
- Biomedical Engineering 167
- Signal Processing 20
- Artificial Intelligence 48
- Safety, Risk, Reliability and Quality 12
Countries citing papers authored by Davide Baltieri
This map shows the geographic impact of Davide Baltieri'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 Davide Baltieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Baltieri more than expected).
Fields of papers citing papers by Davide Baltieri
This network shows the impact of papers produced by Davide Baltieri. 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 Davide Baltieri. The network helps show where Davide Baltieri may publish in the future.
Co-authors
The 12 scholars most cited alongside Davide Baltieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 190 | |
| 2 | 2011 | 166 | |
| 3 | 2014 | 23 | |
| 4 | 2011 | 22 | |
| 5 | 2010 | 20 | |
| 6 | 2013 | 13 | |
| 7 | 2010 | 12 | |
| 8 | 2023 | 6 |
About Davide Baltieri
Davide Baltieri is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Ecology, Evolution, Behavior and Systematics, Environmental Engineering and Insect Science, having authored 8 papers that have together received 452 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (5 papers), Gait Recognition and Analysis (4 papers), Insect-Plant Interactions and Control (1 paper), Face recognition and analysis (1 paper), Advanced Vision and Imaging (1 paper), Hemiptera Insect Studies (1 paper) and Insect Pheromone Research and Control (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (431 citations), Biomedical Engineering (167 citations), Signal Processing (20 citations), Artificial Intelligence (48 citations) and Safety, Risk, Reliability and Quality (12 citations). Davide Baltieri has collaborated with scholars based in Italy, Germany and Ireland. Frequent co-authors include Rita Cucchiara, Roberto Vezzani, Csaba Benedek, Tamás Szirányi, Cristina M. Pinotti, Lara Maistrello, Alfredo Navarra, Daniele Giannetti, Brendan O’Flynn and Lars Wolf. Their work appears in journals such as ACM Computing Surveys, International Journal of Computer Vision, SZTAKI Publication Repository (Hungarian Academy of Sciences), IRIS UNIMORE (University of Modena and Reggio Emilia) and Florence Research (University of Florence).
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.