Abdenacer Naouri
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Huansheng NingSahraoui DhelimZibouda AliouatAttia QammarLing‐Feng MaoJianguo DingNyothiri AungHongmei Wang
- Topics
- IoT and Edge/Fog Computing (6 papers)Energy Efficient Wireless Sensor Networks (3 papers)Privacy-Preserving Technologies in Data (2 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Internet of Things Journal
In The Last Decade
Abdenacer Naouri
14 papers receiving 251 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 203
- Information Systems 74
- Electrical and Electronic Engineering 57
- Computer Vision and Pattern Recognition 57
- Artificial Intelligence 35
Countries citing papers authored by Abdenacer Naouri
This map shows the geographic impact of Abdenacer Naouri'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 Abdenacer Naouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdenacer Naouri more than expected).
Fields of papers citing papers by Abdenacer Naouri
This network shows the impact of papers produced by Abdenacer Naouri. 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 Abdenacer Naouri. The network helps show where Abdenacer Naouri may publish in the future.
Co-authorship network of co-authors of Abdenacer Naouri
This figure shows the co-authorship network connecting the top 25 collaborators of Abdenacer Naouri. A scholar is included among the top collaborators of Abdenacer Naouri 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 Abdenacer Naouri. Abdenacer Naouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 143 | |
| 15 | 25 |
About Abdenacer Naouri
Abdenacer Naouri is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 15 papers that have together received 260 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Networks and Communications (203 citations), Information Systems (74 citations) and Computer Vision and Pattern Recognition (57 citations). Abdenacer Naouri has collaborated with scholars based in China, Ireland and Algeria. Frequent co-authors include Huansheng Ning, Sahraoui Dhelim, Zibouda Aliouat, Attia Qammar, Ling‐Feng Mao, Jianguo Ding, Nyothiri Aung and Hongmei Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Internet of Things Journal.
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.