Ahmed Emam

36 papers receiving 948 citations

Hit Papers

Deep learning approaches for anomaly-based intrusion dete...20192026202120232019100200300400

Peers

Ahmed Emam
Comparison fields: 5 of 101
  • Artificial Intelligence 614
  • Computer Networks and Communications 503
  • Signal Processing 284
  • Information Systems 170
  • Sociology and Political Science 78
Replace Zulaiha Ali Othman with:
Zulaiha Ali Othman Malaysia
Rajendra Pamula India
Mohsen Kahani Iran
Vasilios Katos United Kingdom
Federica Mandreoli Italy
Norafida Ithnin Malaysia
Omar Almomani Jordan
Marios D. Dikaiakos Cyprus
Moutaz Alazab Jordan
Ahmed Emam relative to Zulaiha Ali Othman Malaysia Zulaiha Ali Othman's profile →
Citations per field
00.5×1.5×2.4×
Zulaiha Ali Othman · 1×
Citations per year

Countries citing papers authored by Ahmed Emam

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Emam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Emam

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Emam. A scholar is included among the top collaborators of Ahmed Emam 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 Ahmed Emam. Ahmed Emam 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
#WorkIndexed citations
1 0
2 18
3 0
4 1
5 0
6 1
7 7
8 19
9 21
10 40
11 9
12 8
13 2
14 9
15 12
16
Robust Real Time Drowsy Eye Detection System.
1
17
Do Females Read Faster than Males? An Empirical Study Using Eye Tracking Systems
1
18 11
19 64
20 61

About Ahmed Emam

Ahmed Emam is a scholar working on Human-Computer Interaction, Artificial Intelligence and Management Science and Operations Research, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Signal Processing (284 citations), Computer Networks and Communications (503 citations) and Artificial Intelligence (614 citations). Ahmed Emam has collaborated with scholars based in Saudi Arabia, Egypt and United States. Frequent co-authors include Abdelouahid Derhab, Hokey Min, Adel Assiri, Hmood Al-Dossari, Farrukh Aslam Khan, Hyesung Min, Ahmed E. Youssef, Stanley Y. W. Su, Muhammad Al‐Qurishi and Mohamed Maher Ben Ismail. Their work appears in journals such as IEEE Access, Knowledge-Based Systems and International Journal of Physical Distribution & Logistics Management.

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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