Julian Zilly

587 total citations · 1 hit paper
8 papers, 304 citations indexed

About

Julian Zilly is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ophthalmology. According to data from OpenAlex, Julian Zilly has authored 8 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Ophthalmology. Recurrent topics in Julian Zilly's work include Neural Networks and Applications (3 papers), Medical Image Segmentation Techniques (3 papers) and Retinal Imaging and Analysis (2 papers). Julian Zilly is often cited by papers focused on Neural Networks and Applications (3 papers), Medical Image Segmentation Techniques (3 papers) and Retinal Imaging and Analysis (2 papers). Julian Zilly collaborates with scholars based in Switzerland and United States. Julian Zilly's co-authors include Joachim M. Buhmann, Dwarikanath Mahapatra, Emilio Frazzoli, Andrea Censi, Alessandro Zanardi, Claudio Ruch, Alessandro Achille and Roger Wattenhofer and has published in prestigious journals such as Computerized Medical Imaging and Graphics and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Julian Zilly

8 papers receiving 299 citations

Hit Papers

align trajectories

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.

Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation

2016 264 citations Julian Zilly, Joachim M. Buhmann et al. Computerized Medical Imaging and Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julian Zilly Switzerland	4	260	219	147	35	25	8	304
Sourya Sengupta Canada	6	185 0.7×	127 0.6×	96 0.7×	38 1.1×	18 0.7×	22	261
Nahed H. Solouma Egypt	10	242 0.9×	114 0.5×	91 0.6×	20 0.6×	100 4.0×	32	352
Uyen T. V. Nguyen Australia	6	370 1.4×	298 1.4×	241 1.6×	15 0.4×	13 0.5×	9	419
N. Barreira Spain	13	359 1.4×	332 1.5×	135 0.9×	43 1.2×	54 2.2×	49	521
Adeel M. Syed Pakistan	9	185 0.7×	145 0.7×	85 0.6×	44 1.3×	36 1.4×	18	286
Risa Higashita China	12	266 1.0×	181 0.8×	98 0.7×	45 1.3×	71 2.8×	40	333
Khaled Alsaih France	10	219 0.8×	118 0.5×	109 0.7×	38 1.1×	90 3.6×	13	335
Ahmed Almazroa Canada	9	357 1.4×	308 1.4×	176 1.2×	24 0.7×	23 0.9×	12	381
Amr S. Ghoneim Egypt	6	332 1.3×	290 1.3×	255 1.7×	21 0.6×	20 0.8×	19	403

Countries citing papers authored by Julian Zilly

Since Specialization

Citations

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

Fields of papers citing papers by Julian Zilly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Zilly

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

All Works

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8 of 8 papers shown

1.

Zilly, Julian, Alessandro Achille, Andrea Censi, & Emilio Frazzoli. (2021). On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning. Repository for Publications and Research Data (ETH Zurich). 34. 3 indexed citations

2.

Zanardi, Alessandro, et al.. (2019). Wormhole Learning. Repository for Publications and Research Data (ETH Zurich). 7899–7905. 2 indexed citations

3.

Zanardi, Alessandro, et al.. (2019). Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning. 8 indexed citations

4.

Ruch, Claudio, et al.. (2019). Learning to Operate a Fleet of Cars. Repository for Publications and Research Data (ETH Zurich). 2292–2298. 11 indexed citations

5.

Zilly, Julian, et al.. (2019). The Frechet Distance of training and test distribution predicts the generalization gap. 2 indexed citations

6.

Zanardi, Alessandro, et al.. (2019). Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

7.

Zilly, Julian, Joachim M. Buhmann, & Dwarikanath Mahapatra. (2016). Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. Computerized Medical Imaging and Graphics. 55. 28–41. 264 indexed citations breakdown →

8.

Zilly, Julian, Joachim M. Buhmann, & Dwarikanath Mahapatra. (2015). Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. 13 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.

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