Mario Fritz

16.7k citations
130 papers · 5.2k indexed · 4 hit papers · h-index 39

Mario Fritz

126 papers receiving 5.0k citations

Hit Papers

MPIIGaze: Real-World Dataset and Deep Appearance-Based Ga...20152026201820222017201520192023100200300

Peers

Mario Fritz
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 3.5k
  • Artificial Intelligence 2.0k
  • Human-Computer Interaction 436
  • Signal Processing 342
  • Aerospace Engineering 314
Replace Ahmed Elgammal with:
Ahmed Elgammal United States
Antoni B. Chan Hong Kong
Mingli Song China
Sérgio Escalera Spain
Song‐Chun Zhu United States
Elisa Ricci Italy
Ling‐Yu Duan China
Rita Cucchiara Italy
Stan Sclaroff United States
Stefanos Zafeiriou United Kingdom
Mario Fritz relative to Ahmed Elgammal United States Ahmed Elgammal's profile →
Citations per field
00.5×1.5×2.5×
Ahmed Elgammal · 1×
Citations per year

Countries citing papers authored by Mario Fritz

Since Specialization
Citations

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

Fields of papers citing papers by Mario Fritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Fritz

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Fritz. A scholar is included among the top collaborators of Mario Fritz 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 Mario Fritz. Mario Fritz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 2
5 1
6 1
7
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injectionbreakdown →
127
8 97
9
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
14
10
Understanding and Controlling User Linkability in Decentralized Learning.
7
11
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimationbreakdown →
345
12
Natural Illumination from Multiple Materials Using Deep Learning
2
13
Long-Term Image Boundary Extrapolation
3
14
Hard to Cheat: A Turing Test based on Answering Questions about Images
3
15
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image
4
16
Dynamic Feature Selection for Classification on a Budget
9
17
Learnable Pooling Regions for Image Classification
16
18
Timely Object Recognition
25
19
Kernel Density Topic Models: Visual Topics Without Visual Words
4
20
Object Tracking and Pose Estimation Using Light‐feld Object Models
8

About Mario Fritz

Mario Fritz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 130 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (29 papers), Domain Adaptation and Few-Shot Learning (25 papers) and Generative Adversarial Networks and Image Synthesis (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Human-Computer Interaction (436 citations) and Artificial Intelligence (2.0k citations). Mario Fritz has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Bernt Schiele, Mateusz Malinowski, Ning Yu, Trevor Darrell, Marcus Rohrbach, Tâm Huỳnh, Andreas Bulling, Larry S. Davis, Seong Joon Oh and Yusuke Sugano. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and The International Journal of Robotics 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.

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