German I. Parisi
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 5%
- Co-authors
- Stefan WermterJose L. PartChristopher KananRonald KemkerCornelius WeberPablo BarrosJun TaniSven Magg
- Topics
- Human Pose and Action Recognition (15 papers)Hand Gesture Recognition Systems (8 papers)Anomaly Detection Techniques and Applications (7 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
German I. Parisi
30 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 770
- Electrical and Electronic Engineering 185
- Cognitive Neuroscience 183
- Control and Systems Engineering 158
Countries citing papers authored by German I. Parisi
This map shows the geographic impact of German I. Parisi'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 German I. Parisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites German I. Parisi more than expected).
Fields of papers citing papers by German I. Parisi
This network shows the impact of papers produced by German I. Parisi. 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 German I. Parisi. The network helps show where German I. Parisi may publish in the future.
Co-authorship network of co-authors of German I. Parisi
This figure shows the co-authorship network connecting the top 25 collaborators of German I. Parisi. A scholar is included among the top collaborators of German I. Parisi 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 German I. Parisi. German I. Parisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 8 | |
| 3 | A Personalized Affective Memory Model for Improving Emotion Recognition | 15 |
| 4 | Continual lifelong learning with neural networks: A reviewbreakdown → | 1665 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | Lifelong Learning of Action Representations with Deep Neural Self-Organization. | 2 |
| 10 | 79 | |
| 11 | 18 | |
| 12 | 65 | |
| 13 | Child-Centred Motion-Based Age and Gender Estimation with Neural Network Learning | 2 |
| 14 | SLIRS: Sign language interpreting system for human-robot interaction | 2 |
| 15 | Learning objects from RGB-D sensors using point cloud-based neural networks. | 2 |
| 16 | 55 | |
| 17 | A Multi-modal Approach for Assistive Humanoid Robots. | 1 |
| 18 | FINGeR: Framework for Interactive Neural-based Gesture Recognition | 2 |
| 19 | 34 | |
| 20 | 1 |
About German I. Parisi
German I. Parisi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Sensory Systems, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (15 papers), Hand Gesture Recognition Systems (8 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (770 citations) and Health Informatics (38 citations). German I. Parisi has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Stefan Wermter, Jose L. Part, Christopher Kanan, Ronald Kemker, Cornelius Weber, Pablo Barros, Jun Tani, Sven Magg, Daniel Jirák and Francisco Cruz. Their work appears in journals such as Neurocomputing, Neural Networks and Cognitive Systems Research.
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.