Eslam Amer

1.5k citations
45 papers · 1.0k · h-index 18

Impact in

Papers in

    • Advanced Malware Detection Techniques 19
    • Advanced Text Analysis Techniques 6
    • Topic Modeling 4
    • Hate Speech and Cyberbullying Detection 3
    • Machine Learning in Healthcare 3

Eslam Amer

42 papers receiving 967 citations

Peers

Eslam Amer
Comparison fields: 5 of 88
  • Signal Processing 443
  • Health Informatics 25
  • Artificial Intelligence 487
  • Information Systems 340
  • Computer Networks and Communications 322
Replace Chandra Thapa with:
Chandra Thapa Australia
Mirza Omer Beg Pakistan
Muhammad Usman Pakistan
Isao Echizen Japan
Naveen Ashish United States
Mohammad Mannan Canada
Yafeng Ren China
Bian Yang Norway
Faisal Muhammad Shah Bangladesh
Manu Sood India
Eslam Amer relative to Chandra Thapa Australia Chandra Thapa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eslam Amer

Since Specialization
Citations

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

Fields of papers citing papers by Eslam Amer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eslam Amer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eslam Amer Line = papers co-authored together Eslam Amer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020141
2 2018111
3 201997
4 202268
5 202065
6 202152
7 202148
8 202145
9 202240
10 202237
11 202235
12 201933
13 202129
14 201820
15 202119
16 201518
17
Machine Learning-Based Model for Sentiment and Sarcasm Detection
202118
18 202017
19 201116
20 201614

About Eslam Amer

Eslam Amer is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Sociology and Political Science, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (19 papers), Network Security and Intrusion Detection (15 papers), Spam and Phishing Detection (9 papers), Advanced Text Analysis Techniques (6 papers), Misinformation and Its Impacts (4 papers), Topic Modeling (4 papers), Hate Speech and Cyberbullying Detection (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Signal Processing (443 citations), Health Informatics (25 citations), Artificial Intelligence (487 citations), Information Systems (340 citations) and Computer Networks and Communications (322 citations). Eslam Amer has collaborated with scholars based in Egypt, United Kingdom and South Korea. Frequent co-authors include Ivan Zelinka, Shaker El–Sappagh, Tamer Abuhmed, Farman Ali, Hager Saleh, Ammar Mohammed, Jong Wan Hu, Kyung Sup Kwak, Yaser M. Wazery and Essam H. Houssein. Their work appears in journals such as Computers & Security, Applied Sciences, Electronics, Food and Bioprocess Technology and Journal of Information Security and Applications.

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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