Daniel Gläsner

3.0k citations
18 papers · 2.2k · 3 hit papers · h-index 10

Impact in

    • Image Processing Techniques and Applications
    • Advanced Image Fusion Techniques
    • Advanced Image Processing Techniques
    • Advanced Vision and Imaging
    • Image and Signal Denoising Methods
    • Advanced Neural Network Applications
    • Image Enhancement Techniques
    • Advanced Image and Video Retrieval Techniques

Papers in

Daniel Gläsner

18 papers receiving 2.1k citations

Daniel Gläsner's Hit Papers

Rethinking FID: Towards a Better Evaluation Metric for Image Generation 2024 · 91 citations
910+5+11Years since publication4008001.2k

Peers

Daniel Gläsner
Comparison fields: 5 of 97
  • Media Technology 985
  • Computer Vision and Pattern Recognition 1.9k
  • Computer Graphics and Computer-Aided Design 42
  • Biophysics 36
  • Artificial Intelligence 215
Replace Tao Dai with:
Tao Dai China
Jin Yan Zheng China
Yuhui Quan China
Qing Wang China
Sunghyun Cho South Korea
Yacov Hel-Or Israel
Hongwei Yong Hong Kong
Faming Fang China
Sanghyun Son South Korea
Seungjun Nah South Korea
Daniel Gläsner relative to Tao Dai China Tao Dai's profile →
Citations per field
00.5×10×20×25.8×
Tao Dai · 1×
Citations per year

Countries citing papers authored by Daniel Gläsner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gläsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Gläsner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Gläsner Line = papers co-authored together Daniel Gläsner links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Super-resolution from a single image
Hit paper breakdown →
20091456
2
Understanding Robustness of Transformers for Image Classification
Hit paper breakdown →
2021295
3 2013167
4
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Hit paper breakdown →
202491
5 201175
6 201228
7 201122
8 201417
9 201514
10 202113
11 20158
12 20115
13 20172
14 20241
15
High Spatial Resolution BRDFs with Metallic powders Using Wave Optics Analysis
20131
16 20131
17 20091
18 20081

About Daniel Gläsner

Daniel Gläsner is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Space and Planetary Science and Computational Theory and Mathematics, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Advanced Neural Network Applications (3 papers), Advanced Image Processing Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Optimization and Search Problems (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Media Technology (985 citations), Computer Vision and Pattern Recognition (1.9k citations), Computer Graphics and Computer-Aided Design (42 citations), Biophysics (36 citations) and Artificial Intelligence (215 citations). Daniel Gläsner has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Michal Irani, Shai Bagon, Ayan Chakrabarti, Andreas Veit, Srinadh Bhojanapalli, Daliang Li, Thomas Unterthiner, Anat Levin, Netalee Efrat and Boaz Nadler. Their work appears in journals such as ACM Transactions on Graphics, Algorithmica, SIAM Journal on Imaging Sciences, Sensors and Image and Vision Computing.

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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