Saeed Abu‐Nimeh
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Sociology and Political Science
- Co-authors
- Suku NairDario NappaXinlei WangManos AntonakakisYacin NadjiDavid DagonNikolaos VasiloglouRoberto Perdisci
- Topics
- Spam and Phishing Detection (9 papers)Network Security and Intrusion Detection (9 papers)Text and Document Classification Technologies (5 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Saeed Abu‐Nimeh
14 papers receiving 654 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Information Systems 508
- Computer Networks and Communications 415
- Artificial Intelligence 413
- Signal Processing 342
- Sociology and Political Science 66
Countries citing papers authored by Saeed Abu‐Nimeh
This map shows the geographic impact of Saeed Abu‐Nimeh'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 Saeed Abu‐Nimeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Abu‐Nimeh more than expected).
Fields of papers citing papers by Saeed Abu‐Nimeh
This network shows the impact of papers produced by Saeed Abu‐Nimeh. 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 Saeed Abu‐Nimeh. The network helps show where Saeed Abu‐Nimeh may publish in the future.
Co-authorship network of co-authors of Saeed Abu‐Nimeh
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Abu‐Nimeh. A scholar is included among the top collaborators of Saeed Abu‐Nimeh 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 Saeed Abu‐Nimeh. Saeed Abu‐Nimeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | From throw-away traffic to bots: detecting the rise of DGA-based malwarebreakdown → | 285 |
| 2 | 38 | |
| 3 | Combining Privacy and Security Risk Assessment in Security Quality Requirements Engineering | 3 |
| 4 | 22 | |
| 5 | Integrating Privacy Requirements into Security Requirements Engineering. | 6 |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 9 | |
| 12 | 20 | |
| 13 | 285 | |
| 14 | 4 |
About Saeed Abu‐Nimeh
Saeed Abu‐Nimeh is a scholar working on Information Systems, Software and Computer Networks and Communications, having authored 14 papers that have together received 714 indexed citations. Recurring topics across this work include Spam and Phishing Detection (9 papers), Network Security and Intrusion Detection (9 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Signal Processing (342 citations), Information Systems (508 citations) and Computer Networks and Communications (415 citations). Saeed Abu‐Nimeh has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Suku Nair, Dario Nappa, Xinlei Wang, Manos Antonakakis, Yacin Nadji, David Dagon, Nikolaos Vasiloglou, Roberto Perdisci, Wenke Lee and Tom Chen. Their work appears in journals such as Computer, IEEE Security & Privacy and Wireless Communications and Mobile Computing.
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.