Hassène Aissi
- Management Science and Operations Research top 2%
- Industrial and Manufacturing Engineering top 2%
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Daniel VanderpootenCristina BazganMohamed Ali AloulouMikhail Y. KovalyovSalem ChakharVincent MousseauMaurice QueyranneS. Thomas McCormick
- Topics
- Risk and Portfolio Optimization (7 papers)Optimization and Search Problems (4 papers)Optimization and Mathematical Programming (3 papers)
- Cited by
- Management Science and Operations ResearchIndustrial and Manufacturing EngineeringControl and Systems Engineering
In The Last Decade
Hassène Aissi
13 papers receiving 499 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Management Science and Operations Research 267
- Industrial and Manufacturing Engineering 192
- Control and Systems Engineering 137
- Computer Networks and Communications 110
- Computational Theory and Mathematics 62
Countries citing papers authored by Hassène Aissi
This map shows the geographic impact of Hassène Aissi'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 Hassène Aissi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassène Aissi more than expected).
Fields of papers citing papers by Hassène Aissi
This network shows the impact of papers produced by Hassène Aissi. 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 Hassène Aissi. The network helps show where Hassène Aissi may publish in the future.
Co-authorship network of co-authors of Hassène Aissi
This figure shows the co-authorship network connecting the top 25 collaborators of Hassène Aissi. A scholar is included among the top collaborators of Hassène Aissi 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 Hassène Aissi. Hassène Aissi 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 | 4 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 22 | |
| 8 | 9 | |
| 9 | Min–max and min–max regret versions of combinatorial optimization problems: A surveybreakdown → | 319 |
| 10 | 40 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 63 | |
| 14 | Pseudo-polynomial algorithms for min-max and min-max regret problems | 3 |
About Hassène Aissi
Hassène Aissi is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 512 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (7 papers), Optimization and Search Problems (4 papers) and Optimization and Mathematical Programming (3 papers). The work is most often cited by research in Management Science and Operations Research (267 citations), Industrial and Manufacturing Engineering (192 citations) and Control and Systems Engineering (137 citations). Hassène Aissi has collaborated with scholars based in France, Belgium and Canada. Frequent co-authors include Daniel Vanderpooten, Cristina Bazgan, Mohamed Ali Aloulou, Mikhail Y. Kovalyov, Salem Chakhar, Vincent Mousseau, Maurice Queyranne, S. Thomas McCormick and A. Ridha Mahjoub. Their work appears in journals such as European Journal of Operational Research, Mathematical Programming and Environment and Planning B Planning and Design.
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.