Rasha Kashef
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Co-authors
- Mohamed S. KamelAhmed IbrahimMahsa EbrahimianHubert PunDerek RaysideTariq A. AndreaDina NawaraMuhammad Jaseemuddin
- Topics
- Network Security and Intrusion Detection (8 papers)Complex Network Analysis Techniques (7 papers)Advanced Clustering Algorithms Research (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPattern Recognition
- Partner nations
- CanadaEgyptUnited States
In The Last Decade
Rasha Kashef
34 papers receiving 529 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 280
- Information Systems 180
- Computer Networks and Communications 102
- Management Science and Operations Research 85
- Sociology and Political Science 64
Countries citing papers authored by Rasha Kashef
This map shows the geographic impact of Rasha Kashef'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 Rasha Kashef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasha Kashef more than expected).
Fields of papers citing papers by Rasha Kashef
This network shows the impact of papers produced by Rasha Kashef. 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 Rasha Kashef. The network helps show where Rasha Kashef may publish in the future.
Co-authorship network of co-authors of Rasha Kashef
This figure shows the co-authorship network connecting the top 25 collaborators of Rasha Kashef. A scholar is included among the top collaborators of Rasha Kashef 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 Rasha Kashef. Rasha Kashef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 29 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | Ensemble-Based Anomaly Detetction using Cooperative Learning. | 8 |
| 14 | 12 | |
| 15 | 12 | |
| 16 | 0 | |
| 17 | 49 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 9 |
About Rasha Kashef
Rasha Kashef is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 39 papers that have together received 555 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Complex Network Analysis Techniques (7 papers) and Advanced Clustering Algorithms Research (7 papers). The work is most often cited by research in Artificial Intelligence (280 citations), Information Systems (180 citations) and Management Science and Operations Research (85 citations). Rasha Kashef has collaborated with scholars based in Canada, Egypt and United States. Frequent co-authors include Mohamed S. Kamel, Ahmed Ibrahim, Mahsa Ebrahimian, Hubert Pun, Derek Rayside, Tariq A. Andrea, Dina Nawara, Muhammad Jaseemuddin, Farzana Alam and Ulrich Pecks. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.
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.