Katrien De Moor

136 total papers · 2.5k total citations
74 papers, 920 citations indexed

About

Katrien De Moor is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Human-Computer Interaction. According to data from OpenAlex, Katrien De Moor has authored 74 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 26 papers in Sociology and Political Science and 12 papers in Human-Computer Interaction. Recurrent topics in Katrien De Moor's work include Image and Video Quality Assessment (25 papers), Multimedia Communication and Technology (13 papers) and Innovative Approaches in Technology and Social Development (11 papers). Katrien De Moor is often cited by papers focused on Image and Video Quality Assessment (25 papers), Multimedia Communication and Technology (13 papers) and Innovative Approaches in Technology and Social Development (11 papers). Katrien De Moor collaborates with scholars based in Norway, Belgium and Sweden. Katrien De Moor's co-authors include Lieven De Marez, Wout Joseph, Luc Martens, Dimitri Schuurman, István Ketykó, Toon De Pessemier, Markus Fiedler, Tom Evens, Alexander Raake and Katrin Schoenenberg and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Katrien De Moor

68 papers receiving 854 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katrien De Moor 416 315 173 133 107 74 920
Michaël Friedewald 137 0.3× 323 1.0× 127 0.7× 63 0.5× 58 0.5× 100 991
Jean‐Claude Burgelman 189 0.5× 151 0.5× 139 0.8× 48 0.4× 92 0.9× 63 878
Stephen R. Gulliver 297 0.7× 223 0.7× 115 0.7× 21 0.2× 27 0.3× 75 1.1k
Konrad Tollmar 390 0.9× 166 0.5× 67 0.4× 38 0.3× 43 0.4× 62 1.2k
Nitin Sawhney 464 1.1× 266 0.8× 91 0.5× 24 0.2× 33 0.3× 39 1.1k
Marios C. Angelides 181 0.4× 153 0.5× 99 0.6× 39 0.3× 29 0.3× 86 1.1k
Hendrik Knoche 328 0.8× 292 0.9× 107 0.6× 17 0.1× 53 0.5× 83 802
Antonio Piccinno 196 0.5× 84 0.3× 93 0.5× 57 0.4× 24 0.2× 79 904
Nicholas Race 318 0.8× 158 0.5× 738 4.3× 42 0.3× 43 0.4× 110 1.1k
Luigi De Russis 215 0.5× 247 0.8× 156 0.9× 17 0.1× 25 0.2× 94 1.1k

Countries citing papers authored by Katrien De Moor

Since Specialization
Citations

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

Fields of papers citing papers by Katrien De Moor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrien De Moor. 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 Katrien De Moor. The network helps show where Katrien De Moor may publish in the future.

Co-authorship network of co-authors of Katrien De Moor

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

All Works

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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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