Ibrahim Kamel

3.8k total citations
129 papers, 2.1k citations indexed

About

Ibrahim Kamel is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ibrahim Kamel has authored 129 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 44 papers in Computer Networks and Communications and 40 papers in Artificial Intelligence. Recurrent topics in Ibrahim Kamel's work include Advanced Steganography and Watermarking Techniques (29 papers), Data Management and Algorithms (21 papers) and Chaos-based Image/Signal Encryption (16 papers). Ibrahim Kamel is often cited by papers focused on Advanced Steganography and Watermarking Techniques (29 papers), Data Management and Algorithms (21 papers) and Chaos-based Image/Signal Encryption (16 papers). Ibrahim Kamel collaborates with scholars based in United Arab Emirates, United States and Egypt. Ibrahim Kamel's co-authors include Christos Faloutsos, Tamer Rabie, Zaher Al Aghbari, Walid G. Aref, Mohammed Baziyad, Djedjiga Mouheb, Mohamed F. Mokbel, Khaled Shaalan, Wenjun Zeng and Rafael Alonso and has published in prestigious journals such as IEEE Access, Sensors and ACM Computing Surveys.

In The Last Decade

Ibrahim Kamel

119 papers receiving 1.9k citations

Peers

Ibrahim Kamel
Comparison fields: 5 of 111
  • Signal Processing 925
  • Computer Networks and Communications 793
  • Computer Vision and Pattern Recognition 745
  • Artificial Intelligence 563
  • Information Systems 515
Replace Özgür Ulusoy with:
Özgür Ulusoy Türkiye
Zhifeng Bao Australia
Wen-Chih Peng Taiwan
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Panagiotis Karras Denmark
Dan Lin United States
Wei‐Shinn Ku United States
Rui Zhou China
Shuai Ma China
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Citations per field, relative to Ibrahim Kamel
Ibrahim Kamel · 1×
Citations per year, relative to Ibrahim Kamel
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Countries citing papers authored by Ibrahim Kamel

Since Specialization
Citations

This map shows the geographic impact of Ibrahim Kamel'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 Kamel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim Kamel more than expected).

Fields of papers citing papers by Ibrahim Kamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim Kamel. 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 Kamel. The network helps show where Ibrahim Kamel may publish in the future.

Co-authorship network of co-authors of Ibrahim Kamel

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Kamel. A scholar is included among the top collaborators of Ibrahim Kamel 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 Kamel. Ibrahim Kamel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 2
3 8
4 0
5 7
6 3
7 31
8 0
9 15
10 17
11 3
12 11
13 80
14 7
15
Identifying Semantically Similar Arabic Words using a Large Vocabulary Speech Recognition System.
1
16
Detection and tracking of discrete phenomena in sensor-network databases
21
17
Nile-PDT: a phenomenon detection and tracking framework for data stream management systems
30
18
Scalable Multimedia Disk Scheduling
6
19
Efficient answering of polyhedral queries in r d using bbs-trees.
1
20
A Scalable High-Bandwidth Distributed File System for Multimedia Applications
3

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.

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