Pierre Manneback
Impact in
-
- IoT and Edge/Fog Computing
-
- Advanced Image and Video Retrieval Techniques
Papers in
-
- IoT and Edge/Fog Computing 13
-
- Medical Image Segmentation Techniques 8
- Advanced Image and Video Retrieval Techniques 7
- Video Analysis and Summarization 6
- Co-authors
- Saïd Mahmoudi (30 shared papers)Olivier Debauche (26 shared papers)Sidi Ahmed Mahmoudi (29 shared papers)Frédéric Lebeau (21 shared papers)Jérôme Bindelle (8 shared papers)Carlos Valderrama (4 shared papers)Mohammed Benjelloun (4 shared papers)Fabian Lecron (4 shared papers)
In The Last Decade
Pierre Manneback
61 papers receiving 945 citations
Peers
Comparison fields: 5 of 129
- Computer Networks and Communications 304
- Computer Vision and Pattern Recognition 231
- Water Science and Technology 99
- Information Systems 154
- Plant Science 200
Countries citing papers authored by Pierre Manneback
This map shows the geographic impact of Pierre Manneback'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 Pierre Manneback with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Manneback more than expected).
Fields of papers citing papers by Pierre Manneback
This network shows the impact of papers produced by Pierre Manneback. 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 Pierre Manneback. The network helps show where Pierre Manneback may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Manneback, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | 2019 | 62 | |
| 3 | 2020 | 59 | |
| 4 | 2020 | 54 | |
| 5 | 2021 | 53 | |
| 6 | 2018 | 52 | |
| 7 | 2018 | 51 | |
| 8 | 2021 | 35 | |
| 9 | 2005 | 35 | |
| 10 | 2018 | 32 | |
| 11 | 2014 | 30 | |
| 12 | 2018 | 28 | |
| 13 | 2020 | 28 | |
| 14 | 2011 | 26 | |
| 15 | 2017 | 26 | |
| 16 | 2010 | 26 | |
| 17 | 2012 | 25 | |
| 18 | 2020 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2017 | 19 |
About Pierre Manneback
Pierre Manneback is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Plant Science and Hardware and Architecture, having authored 64 papers that have together received 990 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Smart Agriculture and AI (11 papers), Cloud Computing and Resource Management (10 papers), Parallel Computing and Optimization Techniques (10 papers), Medical Image Segmentation Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Video Analysis and Summarization (6 papers) and Water Quality Monitoring Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (304 citations), Computer Vision and Pattern Recognition (231 citations), Water Science and Technology (99 citations), Information Systems (154 citations) and Plant Science (200 citations). Pierre Manneback has collaborated with scholars based in Belgium, Morocco and France. Frequent co-authors include Saïd Mahmoudi, Olivier Debauche, Sidi Ahmed Mahmoudi, Frédéric Lebeau, Jérôme Bindelle, Carlos Valderrama, Mohammed Benjelloun, Fabian Lecron, Slimane Boukraa and Krzysztof Kurowski. Their work appears in journals such as IMA Journal of Numerical Analysis, Energies, Electronics, Bulletin of the Polish Academy of Sciences Technical Sciences and Internet of Things.
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.