German I. Parisi

3.9k total citations · 1 hit paper
30 papers, 2.1k citations indexed

About

German I. Parisi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, German I. Parisi has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Human-Computer Interaction. Recurrent topics in German I. Parisi's work include Human Pose and Action Recognition (15 papers), Hand Gesture Recognition Systems (8 papers) and Anomaly Detection Techniques and Applications (7 papers). German I. Parisi is often cited by papers focused on Human Pose and Action Recognition (15 papers), Hand Gesture Recognition Systems (8 papers) and Anomaly Detection Techniques and Applications (7 papers). German I. Parisi collaborates with scholars based in Germany, United Kingdom and United States. German I. Parisi's co-authors include Stefan Wermter, Christopher Kanan, Jose L. Part, Ronald Kemker, Cornelius Weber, Pablo Barros, Jun Tani, Sven Magg, Francisco Cruz and Daniel Jirák and has published in prestigious journals such as Neurocomputing, Neural Networks and Cognitive Systems Research.

In The Last Decade

German I. Parisi

30 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Continual lifelong learning with neural networks: A review

2019 1.7k citations German I. Parisi, Ronald Kemker et al. Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
German I. Parisi Germany	13	1.3k	770	185	183	158	30	2.1k
Tao Chen China	26	860 0.7×	1.2k 1.6×	293 1.6×	145 0.8×	127 0.8×	130	2.5k
Dan Xu China	22	670 0.5×	1.4k 1.8×	99 0.5×	143 0.8×	130 0.8×	332	2.6k
Minho Lee South Korea	26	625 0.5×	748 1.0×	353 1.9×	328 1.8×	227 1.4×	174	2.3k
Chaitanya Ahuja United States	6	1.1k 0.9×	875 1.1×	91 0.5×	128 0.7×	114 0.7×	12	2.4k
Ngan Le United States	22	591 0.5×	1.1k 1.4×	233 1.3×	197 1.1×	76 0.5×	109	2.1k
Yizhang Jiang China	25	989 0.8×	740 1.0×	103 0.6×	485 2.7×	120 0.8×	103	2.3k
Mingyu Kim South Korea	10	670 0.5×	790 1.0×	105 0.6×	112 0.6×	66 0.4×	43	1.7k
Anis Yazidi Norway	23	629 0.5×	594 0.8×	139 0.8×	357 2.0×	82 0.5×	197	2.2k
Matthew Hausknecht United States	12	966 0.8×	1.3k 1.7×	84 0.5×	102 0.6×	175 1.1×	21	2.0k
Sonya Coleman United Kingdom	22	410 0.3×	999 1.3×	333 1.8×	367 2.0×	182 1.2×	240	2.6k

Countries citing papers authored by German I. Parisi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lomonaco, Vincenzo, Lorenzo Pellegrini, Pau Rodríguez, et al.. (2022). CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. CINECA IRIS Institutial research information system (University of Pisa). 23 indexed citations

Barros, Pablo, German I. Parisi, & Stefan Wermter. (2019). A Personalized Affective Memory Model for Improving Emotion Recognition. International Conference on Machine Learning. 485–494. 15 indexed citations

Parisi, German I., Ronald Kemker, Jose L. Part, Christopher Kanan, & Stefan Wermter. (2019). Continual lifelong learning with neural networks: A review. Neural Networks. 113. 54–71. 1665 indexed citations breakdown →

Parisi, German I., et al.. (2019). Compositional Learning of Human Activities With a Self-Organizing Neural Architecture. Frontiers in Robotics and AI. 6. 72–72. 1 indexed citations

Barros, Pablo, Manfred Eppe, German I. Parisi, Xun Liu, & Stefan Wermter. (2019). Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification. Frontiers in Robotics and AI. 6. 137–137. 2 indexed citations

Cruz, Francisco, German I. Parisi, & Stefan Wermter. (2018). Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. 1–8. 12 indexed citations

Barros, Pablo, German I. Parisi, Di Fu, Xun Liu, & Stefan Wermter. (2018). Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 82. 1–8. 1 indexed citations

Parisi, German I. & Stefan Wermter. (2017). Lifelong Learning of Action Representations with Deep Neural Self-Organization.. National Conference on Artificial Intelligence. 2 indexed citations

Parisi, German I., Jun Tani, Cornelius Weber, & Stefan Wermter. (2017). Lifelong learning of human actions with deep neural network self-organization. Neural Networks. 96. 137–149. 79 indexed citations

10.

Barros, Pablo, German I. Parisi, Cornelius Weber, & Stefan Wermter. (2017). Emotion-modulated attention improves expression recognition: A deep learning model. Neurocomputing. 253. 104–114. 65 indexed citations

11.

Barros, Pablo, et al.. (2017). Emotion Recognition from Body Expressions with a Neural Network Architecture. 143–149. 18 indexed citations

12.

Parisi, German I., et al.. (2016). SLIRS: Sign language interpreting system for human-robot interaction. National Conference on Artificial Intelligence. 94–99. 2 indexed citations

13.

Sandygulova, Anara, et al.. (2016). Child-Centred Motion-Based Age and Gender Estimation with Neural Network Learning. National Conference on Artificial Intelligence. 47–52. 2 indexed citations

14.

Parisi, German I., Cornelius Weber, & Stefan Wermter. (2015). Self-organizing neural integration of pose-motion features for human action recognition. Frontiers in Neurorobotics. 9. 3–3. 55 indexed citations

15.

Barros, Pablo, et al.. (2015). Learning objects from RGB-D sensors using point cloud-based neural networks.. The European Symposium on Artificial Neural Networks. 2 indexed citations

16.

Parisi, German I., et al.. (2015). A Multi-modal Approach for Assistive Humanoid Robots.. 10–15. 1 indexed citations

17.

Parisi, German I., Pablo Barros, & Stefan Wermter. (2014). FINGeR: Framework for Interactive Neural-based Gesture Recognition. The European Symposium on Artificial Neural Networks. 2 indexed citations

18.

Barros, Pablo, German I. Parisi, Daniel Jirák, & Stefan Wermter. (2014). Real-time gesture recognition using a humanoid robot with a deep neural architecture. 646–651. 34 indexed citations

19.

Parisi, German I., Erik Strahl, & Stefan Wermter. (2014). Robust fall detection with an assistive humanoid robot. 1013–1013. 1 indexed citations

20.

Parisi, German I. & Stefan Wermter. (2013). Hierarchical SOM-based detection of novel behavior for 3D human tracking. 1–8. 15 indexed citations

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.

Explore authors with similar magnitude of impact