Ghada Khoriba
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Mohamed H. HaggagGehad Ismail SayedJie LiWael H. GomaaYusheng JiSalma JamalMohamed AhmedMohamed Salah
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (5 papers)Advanced Text Analysis Techniques (4 papers)
In The Last Decade
Ghada Khoriba
31 papers receiving 588 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 382
- Computer Vision and Pattern Recognition 146
- Computational Theory and Mathematics 113
- Electrical and Electronic Engineering 72
- Computer Networks and Communications 68
Countries citing papers authored by Ghada Khoriba
This map shows the geographic impact of Ghada Khoriba'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 Ghada Khoriba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghada Khoriba more than expected).
Fields of papers citing papers by Ghada Khoriba
This network shows the impact of papers produced by Ghada Khoriba. 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 Ghada Khoriba. The network helps show where Ghada Khoriba may publish in the future.
Co-authorship network of co-authors of Ghada Khoriba
This figure shows the co-authorship network connecting the top 25 collaborators of Ghada Khoriba. A scholar is included among the top collaborators of Ghada Khoriba 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 Ghada Khoriba. Ghada Khoriba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 20 | |
| 16 | 30 | |
| 17 | 6 | |
| 18 | 37 | |
| 19 | A novel chaotic salp swarm algorithm for global optimization and feature selectionbreakdown → | 345 |
| 20 | 5 |
About Ghada Khoriba
Ghada Khoriba is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Software, having authored 42 papers that have together received 608 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (382 citations), Computer Vision and Pattern Recognition (146 citations) and Computational Theory and Mathematics (113 citations). Ghada Khoriba has collaborated with scholars based in Egypt, Japan and China. Frequent co-authors include Mohamed H. Haggag, Gehad Ismail Sayed, Jie Li, Wael H. Gomaa, Yusheng Ji, Salma Jamal, Mohamed Ahmed, Mohamed Salah, Amr S. Ghoneim and Omar Mohamed. Their work appears in journals such as IEEE Access, Neural Computing and Applications and Computers in Biology and Medicine.
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.