Ann Dooms

1.3k citations
52 papers · 382 indexed · h-index 9

Ann Dooms

49 papers receiving 359 citations

Peers

Ann Dooms
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 211
  • Archeology 77
  • Cognitive Neuroscience 60
  • Media Technology 49
  • Conservation 48
Replace Christian Reinbacher with:
Christian Reinbacher Austria
Nikos Papamarkos Greece
Luc J. Van Gool Belgium
Y. Lamdan United States
Eduardo Juárez Spain
Jinlong Shi China
Songhua Liu China
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Ann Dooms relative to Christian Reinbacher Austria Christian Reinbacher's profile →
Citations per field
00.5×8.6×
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Citations per year

Countries citing papers authored by Ann Dooms

Since Specialization
Citations

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

Fields of papers citing papers by Ann Dooms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Dooms

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Dooms. A scholar is included among the top collaborators of Ann Dooms 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 Ann Dooms. Ann Dooms 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 0
2 27
3 4
4 2
5 15
6 4
7 22
8
Combining the Best of Perceptual Quality Metrics
4
9 76
10
Reduced Reference Quality Assessment based on Watermarking and Perceptual Hashing
1
11 2
12
Crack detection and inpainting for virtual restoration of paintings: the case of the Ghent altarpiece
1
13
Multispectral imaging for digital painting analysis: A Gauguin case study
1
14 1
15 2
16 8
17 7
18 6
19 0
20 4

About Ann Dooms

Ann Dooms is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (9 papers), Finite Group Theory Research (8 papers) and Cultural Heritage Materials Analysis (7 papers). The work is most often cited by research in Conservation (48 citations), Computer Vision and Pattern Recognition (211 citations) and Discrete Mathematics and Combinatorics (29 citations). Ann Dooms has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Peter Schelkens, Bruno Cornelis, Ingrid Daubechies, Jan Cornelis, Aleksandra Pižurica, Maximiliaan Martens, Ljiljana Platiša, Marc De Mey, Tijana Ružić and Manuel Ruiz Marín. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Signal Processing Magazine.

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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