Ibrahim A. Elgendy
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Weizhe ZhangAmmar MuthannaYu‐Chu TianAhmed A. Abd El‐LatifHui HeRahul YadavAndrey KoucheryavyMohamed Hammad
- Topics
- IoT and Edge/Fog Computing (27 papers)Blockchain Technology Applications and Security (9 papers)Advanced Neural Network Applications (6 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- Saudi ArabiaEgyptChina
In The Last Decade
Ibrahim A. Elgendy
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 1.1k
- Information Systems 579
- Electrical and Electronic Engineering 390
- Artificial Intelligence 285
- Computer Vision and Pattern Recognition 241
Countries citing papers authored by Ibrahim A. Elgendy
This map shows the geographic impact of Ibrahim A. Elgendy'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 Ibrahim A. Elgendy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim A. Elgendy more than expected).
Fields of papers citing papers by Ibrahim A. Elgendy
This network shows the impact of papers produced by Ibrahim A. Elgendy. 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 Ibrahim A. Elgendy. The network helps show where Ibrahim A. Elgendy may publish in the future.
Co-authorship network of co-authors of Ibrahim A. Elgendy
This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim A. Elgendy. A scholar is included among the top collaborators of Ibrahim A. Elgendy 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 Ibrahim A. Elgendy. Ibrahim A. Elgendy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 49 | |
| 10 | 44 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 111 | |
| 14 | 1 | |
| 15 | 33 | |
| 16 | 129 | |
| 17 | 139 | |
| 18 | 3 | |
| 19 | Fine-tuned BERT Model for Multi-Label Tweets Classification. | 14 |
| 20 | 56 |
About Ibrahim A. Elgendy
Ibrahim A. Elgendy is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (27 papers), Blockchain Technology Applications and Security (9 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Information Systems (579 citations) and Computer Vision and Pattern Recognition (241 citations). Ibrahim A. Elgendy has collaborated with scholars based in Saudi Arabia, Egypt and China. Frequent co-authors include Weizhe Zhang, Ammar Muthanna, Yu‐Chu Tian, Ahmed A. Abd El‐Latif, Hui He, Rahul Yadav, Andrey Koucheryavy, Mohamed Hammad, Omprakash Kaiwartya and Keqin Li. Their work appears in journals such as Expert Systems with Applications, Energy Conversion and Management and IEEE Access.
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.