Jalel Akaichi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Mourad KhayatiKhaleel Ur Rahman KhanΜ. StaroswieckiMireille BayartFaı̈ez GargouriJeffrey Hsu
- Topics
- Data Management and Algorithms (33 papers)Advanced Database Systems and Queries (22 papers)Semantic Web and Ontologies (18 papers)
- Partner nations
- TunisiaSaudi ArabiaFrance
In The Last Decade
Jalel Akaichi
71 papers receiving 315 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 175
- Information Systems 104
- Signal Processing 75
- Computer Networks and Communications 69
- Statistical and Nonlinear Physics 62
Countries citing papers authored by Jalel Akaichi
This map shows the geographic impact of Jalel Akaichi'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 Jalel Akaichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jalel Akaichi more than expected).
Fields of papers citing papers by Jalel Akaichi
This network shows the impact of papers produced by Jalel Akaichi. 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 Jalel Akaichi. The network helps show where Jalel Akaichi may publish in the future.
Co-authorship network of co-authors of Jalel Akaichi
This figure shows the co-authorship network connecting the top 25 collaborators of Jalel Akaichi. A scholar is included among the top collaborators of Jalel Akaichi 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 Jalel Akaichi. Jalel Akaichi 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | Real Time Self Adaptable Web Services to the Context: Case Study and Performance Evaluation | 0 |
| 13 | 1 | |
| 14 | Trajectory data warehouse modeling based on a Trajectory UML profile: Medical example | 1 |
| 15 | 7 | |
| 16 | Pervasive System for Searching the Appropriate Road: A Mobile Physician on Road Network Case Study. | 0 |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | A Multiversion Trajectory Data Warehouse to Handle Structure Changes | 5 |
About Jalel Akaichi
Jalel Akaichi is a scholar working on Signal Processing, Geography, Planning and Development and Information Systems, having authored 88 papers that have together received 349 indexed citations. Recurring topics across this work include Data Management and Algorithms (33 papers), Advanced Database Systems and Queries (22 papers) and Semantic Web and Ontologies (18 papers). The work is most often cited by research in Signal Processing (75 citations), Artificial Intelligence (175 citations) and Health Information Management (25 citations). Jalel Akaichi has collaborated with scholars based in Tunisia, Saudi Arabia and France. Frequent co-authors include Mourad Khayati, Khaleel Ur Rahman Khan, Μ. Staroswiecki, Mireille Bayart, Faı̈ez Gargouri and Jeffrey Hsu. Their work appears in journals such as Knowledge and Information Systems, Software Practice and Experience and Computer Science Review.
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.