Jean-Marc Menaud
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Mario SüdholtAnne‐Cécile OrgerieNicolas LoriantThomas FritzHien Nguyen VanIván RoderoRémi DouenceManish Parashar
- Topics
- Cloud Computing and Resource Management (9 papers)IoT and Edge/Fog Computing (5 papers)Advanced Software Engineering Methodologies (5 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Jean-Marc Menaud
20 papers receiving 211 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 179
- Information Systems 166
- Artificial Intelligence 80
- Electrical and Electronic Engineering 40
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by Jean-Marc Menaud
This map shows the geographic impact of Jean-Marc Menaud'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 Jean-Marc Menaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Marc Menaud more than expected).
Fields of papers citing papers by Jean-Marc Menaud
This network shows the impact of papers produced by Jean-Marc Menaud. 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 Jean-Marc Menaud. The network helps show where Jean-Marc Menaud may publish in the future.
Co-authorship network of co-authors of Jean-Marc Menaud
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Menaud. A scholar is included among the top collaborators of Jean-Marc Menaud 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 Jean-Marc Menaud. Jean-Marc Menaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 6 | |
| 4 | 60 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | Estimating the Power Consumption of an Idle Virtual Machine | 1 |
| 9 | Dynamic Consolidation of Highly Available Web Applications | 3 |
| 10 | 12 | |
| 11 | 30 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | A Reflexive Extension to Arachne's Aspect Language | 0 |
| 15 | 2 | |
| 16 | An application of dynamic AOP to medical image generation | 6 |
| 17 | 57 | |
| 18 | Software security patches -- Audit, deployment and hot update | 3 |
| 19 | 1 | |
| 20 | 8 |
About Jean-Marc Menaud
Jean-Marc Menaud is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 22 papers that have together received 243 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (9 papers), IoT and Edge/Fog Computing (5 papers) and Advanced Software Engineering Methodologies (5 papers). The work is most often cited by research in Computer Networks and Communications (179 citations), Information Systems (166 citations) and Software (12 citations). Jean-Marc Menaud has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Mario Südholt, Anne‐Cécile Orgerie, Nicolas Loriant, Thomas Fritz, Hien Nguyen Van, Iván Rodero, Rémi Douence, Manish Parashar, Yunbo Li and Fabien Hermenier. Their work appears in journals such as Energy and Buildings, Future Generation Computer Systems and IEEE Software.
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.