Christophe Lohr
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Sao Mai NguyenIoannis KanellosCelso A. S. SantosJean-Pierre CourtiatPierre de Saqui‐SannesPhilippe A. TanguyLudovic ApvrilleXavier Puig
- Topics
- Context-Aware Activity Recognition Systems (11 papers)IoT and Edge/Fog Computing (7 papers)IoT-based Smart Home Systems (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsIEEE Transactions on Software Engineering
In The Last Decade
Christophe Lohr
22 papers receiving 236 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 147
- Computer Networks and Communications 96
- Artificial Intelligence 52
- Electrical and Electronic Engineering 51
- Biomedical Engineering 27
Countries citing papers authored by Christophe Lohr
This map shows the geographic impact of Christophe Lohr'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 Christophe Lohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Lohr more than expected).
Fields of papers citing papers by Christophe Lohr
This network shows the impact of papers produced by Christophe Lohr. 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 Christophe Lohr. The network helps show where Christophe Lohr may publish in the future.
Co-authorship network of co-authors of Christophe Lohr
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Lohr. A scholar is included among the top collaborators of Christophe Lohr 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 Christophe Lohr. Christophe Lohr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 113 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | Network management and control framework for hybrid converged environment | 0 |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 27 |
About Christophe Lohr
Christophe Lohr is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Human-Computer Interaction, having authored 25 papers that have together received 250 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (7 papers) and IoT-based Smart Home Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Computer Networks and Communications (96 citations) and Software (15 citations). Christophe Lohr has collaborated with scholars based in France, Japan and Germany. Frequent co-authors include Sao Mai Nguyen, Ioannis Kanellos, Celso A. S. Santos, Jean-Pierre Courtiat, Pierre de Saqui‐Sannes, Philippe A. Tanguy, Ludovic Apvrille, Xavier Puig, Kristiina Jokinen and Rainer Wieching. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Software Engineering.
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.