Omar Bencharef
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
-
- Sentiment Analysis and Opinion Mining 8
-
- Image Retrieval and Classification Techniques 10
- Handwritten Text Recognition Techniques 8
- Advanced Image and Video Retrieval Techniques 6
- Co-authors
- Soulaimane Kaloun (15 shared papers)Marc Bidan (1 shared paper)Larbi Safaa (1 shared paper)Said Raghay (4 shared papers)Sami Gazzah (2 shared papers)Mohamed Fakir (6 shared papers)Belaid Bouikhalene (3 shared papers)Youssef Hadi (1 shared paper)
In The Last Decade
Omar Bencharef
47 papers receiving 394 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 156
- Information Systems 100
- Marketing 39
- Computer Vision and Pattern Recognition 87
- Tourism, Leisure and Hospitality Management 6
Countries citing papers authored by Omar Bencharef
This map shows the geographic impact of Omar Bencharef'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 Omar Bencharef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Bencharef more than expected).
Fields of papers citing papers by Omar Bencharef
This network shows the impact of papers produced by Omar Bencharef. 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 Omar Bencharef. The network helps show where Omar Bencharef may publish in the future.
Co-authors
The 15 scholars most cited alongside Omar Bencharef, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 67 | |
| 2 | 2021 | 39 | |
| 3 | 2022 | 29 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 20 | |
| 6 | 2018 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2014 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2011 | 9 | |
| 14 | 2013 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2022 | 7 |
About Omar Bencharef
Omar Bencharef is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Management Science and Operations Research, having authored 51 papers that have together received 421 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (10 papers), Stock Market Forecasting Methods (9 papers), Handwritten Text Recognition Techniques (8 papers), Sentiment Analysis and Opinion Mining (8 papers), Digital Marketing and Social Media (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Market Dynamics and Volatility (6 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (156 citations), Information Systems (100 citations), Marketing (39 citations), Computer Vision and Pattern Recognition (87 citations) and Tourism, Leisure and Hospitality Management (6 citations). Omar Bencharef has collaborated with scholars based in Morocco, Spain and Tunisia. Frequent co-authors include Soulaimane Kaloun, Marc Bidan, Larbi Safaa, Said Raghay, Sami Gazzah, Mohamed Fakir, Belaid Bouikhalene, Youssef Hadi, Iván García‐Magariño and Aziz Ouaarab. Their work appears in journals such as Electronics, Data in Brief, MethodsX, Symmetry and Tourism Management Perspectives.
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.