Sandro Schönborn

715 citations
18 papers · 395 indexed · h-index 7
Topics
Face recognition and analysis (6 papers)Generative Adversarial Networks and Image Synthesis (3 papers)Face and Expression Recognition (3 papers)
Partner nations
SwitzerlandItalyFrance

In The Last Decade

Sandro Schönborn

16 papers receiving 390 citations

Peers

Sandro Schönborn
Comparison fields: 5 of 86
  • Artificial Intelligence 154
  • Computer Vision and Pattern Recognition 106
  • Signal Processing 74
  • Computer Networks and Communications 71
  • Control and Systems Engineering 56
Replace Sheng Zhang with:
Sheng Zhang China
Mohamed Hesham Farouk Egypt
Trung Thanh Ngo Japan
Biao Gong China
Allan Martins Brazil
Joseph Micallef Malta
Xiaoli Dong China
Zhiwei Liang China
Thomas Arildsen Denmark
Huisheng Wang China
Sandro Schönborn relative to Sheng Zhang China Sheng Zhang's profile →
Citations per field
00.5×2.8×
Sheng Zhang · 1×
Citations per year

Countries citing papers authored by Sandro Schönborn

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Schönborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandro Schönborn

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 3
3 4
4 164
5 6
6 0
7 5
8 36
9 44
10 9
11 28
12 1
13 7
14 1
15 1
16 5
17 78
18 2

About Sandro Schönborn

Sandro Schönborn is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 395 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Signal Processing (74 citations), Computer Vision and Pattern Recognition (106 citations) and Artificial Intelligence (154 citations). Sandro Schönborn has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Robert Birke, Thomas Vetter, Ronald Clark, Shu‐Yu Lin, Niki Trigoni, Stephen Roberts, Stefan Goedecker, Shantanu Roy, Artem R. Oganov and Bernhard Egger. Their work appears in journals such as The Journal of Chemical Physics, PLoS ONE and International Journal of Computer Vision.

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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