Sadia Afroz
- Artificial Intelligence top 2%
- Information Systems top 1%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 5%
- Co-authors
- Rachel GreenstadtMichael BrennanGüneş AcarClaudia DíazMarc JuárezDamon McCoyVern PaxsonMichael Carl Tschantz
- Topics
- Spam and Phishing Detection (11 papers)Advanced Malware Detection Techniques (7 papers)Internet Traffic Analysis and Secure E-voting (6 papers)
- Journals
- ACM Computing SurveysACM Transactions on Information and System SecurityUSENIX Security Symposium
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Sadia Afroz
21 papers receiving 901 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 661
- Information Systems 538
- Signal Processing 298
- Computer Networks and Communications 274
- Sociology and Political Science 257
Countries citing papers authored by Sadia Afroz
This map shows the geographic impact of Sadia Afroz'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 Sadia Afroz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadia Afroz more than expected).
Fields of papers citing papers by Sadia Afroz
This network shows the impact of papers produced by Sadia Afroz. 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 Sadia Afroz. The network helps show where Sadia Afroz may publish in the future.
Co-authorship network of co-authors of Sadia Afroz
This figure shows the co-authorship network connecting the top 25 collaborators of Sadia Afroz. A scholar is included among the top collaborators of Sadia Afroz 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 Sadia Afroz. Sadia Afroz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 23 | |
| 4 | 0 | |
| 5 | A Bestiary of Blocking: The Motivations and Modes behind Website Unavailability | 1 |
| 6 | 23 | |
| 7 | 43 | |
| 8 | 46 | |
| 9 | 7 | |
| 10 | 41 | |
| 11 | 33 | |
| 12 | 37 | |
| 13 | 203 | |
| 14 | 36 | |
| 15 | LexOnt: A Semi-automatic Ontology Creation Tool for Programmable Web | 6 |
| 16 | 195 | |
| 17 | 29 | |
| 18 | 107 | |
| 19 | 114 | |
| 20 | 1 |
About Sadia Afroz
Sadia Afroz is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 22 papers that have together received 966 indexed citations. Recurring topics across this work include Spam and Phishing Detection (11 papers), Advanced Malware Detection Techniques (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). The work is most often cited by research in Signal Processing (298 citations), Information Systems (538 citations) and Artificial Intelligence (661 citations). Sadia Afroz has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Rachel Greenstadt, Michael Brennan, Güneş Acar, Claudia Díaz, Marc Juárez, Damon McCoy, Vern Paxson, Michael Carl Tschantz, J. D. Tygar and Alex Kantchelian. Their work appears in journals such as ACM Computing Surveys, ACM Transactions on Information and System Security and USENIX Security Symposium.
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.