Philippe Roose

872 citations
67 papers · 275 · h-index 9

Impact in

Papers in

Philippe Roose

55 papers receiving 256 citations

Peers

Philippe Roose
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 144
  • Computer Networks and Communications 132
  • Information Systems 103
  • Human Factors and Ergonomics 7
  • Software 11
Replace Mario Pichler with:
Mario Pichler Austria
Olivier Liechti Japan
A.A. Litvin Ukraine
Ricky Robinson Australia
Chun-Feng Liao Taiwan
Iman Avazpour Australia
Mercedes Amor Spain
Thirunavukkarasu Sivaharan United Kingdom
Munam Ali Pakistan
Tomoki Yoshihisa Japan
Philippe Roose relative to Mario Pichler Austria Mario Pichler's profile →
Citations per field
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Mario Pichler · 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 22 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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201730
2 201621
3 201419
4 201413
5 201213
6 200910
7 201210
8 20189
9 20209
10 20138
11 20187
12 20196
13 20186
14 20185
15 20175
16 20205
17 20175
18 20185
19 20205
20 20204

About Philippe Roose

Philippe Roose is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science, having authored 67 papers that have together received 275 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (28 papers), Service-Oriented Architecture and Web Services (21 papers), Advanced Software Engineering Methodologies (12 papers), IoT and Edge/Fog Computing (11 papers), Multimedia Communication and Technology (9 papers), Data Management and Algorithms (5 papers), Web Data Mining and Analysis (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Computer Networks and Communications (132 citations), Information Systems (103 citations), Human Factors and Ergonomics (7 citations) and Software (11 citations). Philippe Roose has collaborated with scholars based in France, Algeria and Spain. Frequent co-authors include Adel Alti, Sébastien Laborie, Makhlouf Derdour, Tayeb Lemlouma, Hassani Messaoud, Nacira Ghoualmi‐Zine, Sergio Ilarri, Arantza Illarramendi, Kamel Mansouri and Yudith Cardinale. Their work appears in journals such as ISPRS International Journal of Geo-Information, Journal of Ambient Intelligence and Humanized Computing, Applied Sciences, Multimedia Tools and Applications and Future Internet.

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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