Eslam Amer
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Health Informatics top 5%
Papers in
-
- Advanced Malware Detection Techniques 18
-
- Advanced Text Analysis Techniques 6
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Text and Document Classification Technologies 3
- Co-authors
- Ivan Zelinka (3 shared papers)Shaker El–Sappagh (10 shared papers)Tamer Abuhmed (4 shared papers)Farman Ali (3 shared papers)Hager Saleh (3 shared papers)Ammar Mohammed (1 shared paper)Jong Wan Hu (2 shared papers)Kyung Sup Kwak (1 shared paper)
- Journals
- Computers & Security (3 papers)Applied Sciences (2 papers)Scientific Reports (1 paper)Electronics (1 paper)IEEE Access (1 paper)
- Partner nations
- EgyptUnited KingdomSouth Korea
In The Last Decade
Eslam Amer
41 papers receiving 907 citations
Peers
Comparison fields: 5 of 92
- Signal Processing 417
- Health Informatics 24
- Artificial Intelligence 475
- Information Systems 326
- Computer Networks and Communications 306
Countries citing papers authored by Eslam Amer
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
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.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 2018 | 108 | |
| 3 | 2019 | 93 | |
| 4 | 2022 | 62 | |
| 5 | 2020 | 61 | |
| 6 | 2021 | 49 | |
| 7 | 2021 | 47 | |
| 8 | 2021 | 45 | |
| 9 | 2022 | 35 | |
| 10 | 2022 | 33 | |
| 11 | 2022 | 33 | |
| 12 | 2019 | 29 | |
| 13 | 2021 | 28 | |
| 14 | 2018 | 20 | |
| 15 | 2015 | 18 | |
| 16 | Machine Learning-Based Model for Sentiment and Sarcasm Detection | 2021 | 18 |
| 17 | 2021 | 18 | |
| 18 | 2011 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2016 | 14 |
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 44 papers that have together received 952 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (18 papers), Network Security and Intrusion Detection (14 papers), Spam and Phishing Detection (9 papers), Advanced Text Analysis Techniques (6 papers), Misinformation and Its Impacts (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Signal Processing (417 citations), Health Informatics (24 citations), Artificial Intelligence (475 citations), Information Systems (326 citations) and Computer Networks and Communications (306 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, Abdelmgeid A. Ali and Yaser M. Wazery. Their work appears in journals such as Computers & Security, Applied Sciences, Scientific Reports, Electronics 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.