Claudia Loy

2.0k citations
4 papers · 979 indexed · 1 hit paper · h-index 3
Topics
Anomaly Detection Techniques and Applications (2 papers)Data Stream Mining Techniques (2 papers)Machine Learning and Algorithms (1 paper)
Partner nations
United KingdomGermany

In The Last Decade

Claudia Loy

4 papers receiving 946 citations

Hit Papers

2012 IEEE Conference on Computer Vision and Pattern Recog...20122026201620212012250500750

Peers

Claudia Loy
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 625
  • Artificial Intelligence 244
  • Radiology, Nuclear Medicine and Imaging 112
  • Biomedical Engineering 100
  • Media Technology 97
Replace Yuqing Song with:
Yuqing Song China
Gilson A. Giraldi Brazil
Francesco Isgrò Italy
Zhongchao Shi China
Thanh-Toan Do Australia
Alaaeldin El-Nouby Sweden
Chun-Fu Richard Chen United States
Qiu Guan China
Xiaoshan Yang China
Qi Dai China
Claudia Loy relative to Yuqing Song China Yuqing Song's profile →
Citations per field
00.5×3.1×
Yuqing Song · 1×
Citations per year

Countries citing papers authored by Claudia Loy

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Loy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Loy

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2
2012 IEEE Conference on Computer Vision and Pattern Recognitionbreakdown →
903
3 53
4 22

About Claudia Loy

Claudia Loy is a scholar working on Microbiology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 979 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (2 papers), Data Stream Mining Techniques (2 papers) and Machine Learning and Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (625 citations), Media Technology (97 citations) and Health Informatics (11 citations). Claudia Loy has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Timothy M. Hospedales, Tianyu Xiang, Shiqiang Gong, Shaogang Gong, Tao Xiang, Tao Xiang, Sascha Gravius, Matthias Rädle and Tatyana Sevastyanova. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Biofilm.

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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