Philippe Roose

124 papers receiving 620 citations

Peers

Philippe Roose
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 329
  • Computer Networks and Communications 295
  • Information Systems 248
  • Human Factors and Ergonomics 20
  • Transportation 35
Replace Tayeb Lemlouma with:
Tayeb Lemlouma France
Iqbal Mohomed United States
Carlos Andre Guimaraes Ferraz Brazil
Antonello Calabrò Italy
Meng-Yen Hsieh Taiwan
Marcus Handte Germany
Manoranjan Mohanty Australia
Oriana Riva United States
Birjodh Tiwana United States
Valerie Guralnik United States
Philippe Roose relative to Tayeb Lemlouma France Tayeb Lemlouma's profile →
Citations per field
00.5×2×3.3×
Tayeb Lemlouma · 1×
Citations per year

Countries citing papers authored by Philippe Roose

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Roose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Roose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Roose Line = papers co-authored together Philippe Roose links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201731
2 201429
3 201626
4 201323
5 201219
6 201318
7 201418
8 201217
9 200915
10 201813
11
A Survey of adaptation systems
201113
12 202012
13 202010
14 200510
15 201610
16 20139
17 20189
18 20189
19 20169
20 20208

About Philippe Roose

Philippe Roose is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Artificial Intelligence and Human-Computer Interaction, having authored 142 papers that have together received 654 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (53 papers), Service-Oriented Architecture and Web Services (41 papers), Multimedia Communication and Technology (24 papers), IoT and Edge/Fog Computing (21 papers), Advanced Software Engineering Methodologies (19 papers), Semantic Web and Ontologies (14 papers), Green IT and Sustainability (12 papers) and Peer-to-Peer Network Technologies (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (329 citations), Computer Networks and Communications (295 citations), Information Systems (248 citations), Human Factors and Ergonomics (20 citations) and Transportation (35 citations). Philippe Roose has collaborated with scholars based in France, Algeria and Spain. Frequent co-authors include Sébastien Laborie, Adel Alti, Makhlouf Derdour, Tayeb Lemlouma, Hassani Messaoud, Nacira Ghoualmi‐Zine, Yudith Cardinale, Sergio Ilarri, Mohamed Bahaj and Franck Luthon. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Journal of the Association for Information Systems, Multimedia Tools and Applications, ISPRS International Journal of Geo-Information and Applied Sciences.

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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