Allae Erraissi
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- Scientific Computing and Data Management 7
- Media Technology top 10%
- Remote-Sensing Image Classification 8
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- Advanced Database Systems and Queries 5
- Distributed and Parallel Computing Systems 4
- Information Systems top 10%
- Cloud Computing and Resource Management 8
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- Big Data and Business Intelligence 6
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- Remote Sensing and Land Use 5
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- Data Quality and Management 5
- Co-authors
- Abdessamad Belangour
- Journals
- IEEE Access (1 paper)International Journal of Advanced Computer Science and Applications (1 paper)International journal of scientific and technology research (1 paper)
In The Last Decade
Allae Erraissi
33 papers receiving 279 citations
Peers
Comparison fields: 5 of 61
- Information Systems and Management 58
- Media Technology 50
- Computer Networks and Communications 90
- Information Systems 84
- Management Information Systems 28
Countries citing papers authored by Allae Erraissi
This map shows the geographic impact of Allae Erraissi'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 Allae Erraissi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allae Erraissi more than expected).
Fields of papers citing papers by Allae Erraissi
This network shows the impact of papers produced by Allae Erraissi. 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 Allae Erraissi. The network helps show where Allae Erraissi may publish in the future.
Co-authorship network
The 1 scholars most cited alongside Allae Erraissi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 3 | |
| 8 | An Approach Based On Model Driven Engineering For Big Data Visualization In Different Visual Modes | 2020 | 8 |
| 9 | 2020 | 1 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 17 | |
| 19 | A Comparative Study of Hadoop-based Big Data Architectures. | 2017 | 9 |
| 20 | 2017 | 16 |
About Allae Erraissi
Allae Erraissi is a scholar working on Information Systems and Management, Media Technology and Management Information Systems, having authored 38 papers that have together received 301 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Cloud Computing and Resource Management (8 papers), Scientific Computing and Data Management (7 papers), Big Data and Business Intelligence (6 papers), Advanced Database Systems and Queries (5 papers), Remote Sensing and Land Use (5 papers), Data Quality and Management (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Information Systems and Management (58 citations), Media Technology (50 citations) and Computer Networks and Communications (90 citations). Allae Erraissi has collaborated with scholars based in Morocco and France. Frequent co-authors include Abdessamad Belangour. Their work appears in journals such as IEEE Access, International Journal of Advanced Computer Science and Applications and International journal of scientific and technology research.
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.