Brahim Ouhbi
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Information Systems top 5%
- Statistics and Probability top 5%
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Bouchra FrikhNikolaos LimniosBadr IkkenIván PalomaresEl Moukhtar ZemmouriAsmaa BenghabritAgapios Ν. PlatisRachid Boukhili
- Topics
- Advanced Text Analysis Techniques (12 papers)Semantic Web and Ontologies (11 papers)Complex Network Analysis Techniques (10 papers)
In The Last Decade
Brahim Ouhbi
70 papers receiving 675 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 299
- Management Science and Operations Research 170
- Information Systems 149
- Statistics and Probability 98
- Safety, Risk, Reliability and Quality 84
Countries citing papers authored by Brahim Ouhbi
This map shows the geographic impact of Brahim Ouhbi'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 Brahim Ouhbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brahim Ouhbi more than expected).
Fields of papers citing papers by Brahim Ouhbi
This network shows the impact of papers produced by Brahim Ouhbi. 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 Brahim Ouhbi. The network helps show where Brahim Ouhbi may publish in the future.
Co-authorship network of co-authors of Brahim Ouhbi
This figure shows the co-authorship network connecting the top 25 collaborators of Brahim Ouhbi. A scholar is included among the top collaborators of Brahim Ouhbi 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 Brahim Ouhbi. Brahim Ouhbi 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 | 0 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | DATA INTELLIGENCE IN THE CONTEXT OF BIG DATA: A SURVEY | 6 |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | A DECISION SUPPORT SYSTEM APPLIED TO RENEWABLE ENERGY FIELD | 1 |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | Nonparametric Estimation of Performance and Performability for Semi-Markov Processes | 4 |
About Brahim Ouhbi
Brahim Ouhbi is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems, having authored 75 papers that have together received 704 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (12 papers), Semantic Web and Ontologies (11 papers) and Complex Network Analysis Techniques (10 papers). The work is most often cited by research in Management Science and Operations Research (170 citations), Statistics and Probability (98 citations) and Software (45 citations). Brahim Ouhbi has collaborated with scholars based in Morocco, France and Austria. Frequent co-authors include Bouchra Frikh, Nikolaos Limnios, Badr Ikken, Iván Palomares, El Moukhtar Zemmouri, Asmaa Benghabrit, Agapios Ν. Platis, Rachid Boukhili, Ismaïl Khalil and Hassan Douzi. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Expert Systems with Applications and Information Sciences.
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.