Shazia Tabassum
- Artificial Intelligence
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- Information Systems
- Computer Networks and Communications
- Co-authors
- Fabíola S. F. PereiraJoão Manuel R. S. TavaresSofia FernandesJoão GamaMuhammad Ajmal AzadSamiran BagFeng HaoAndré F. T. Martins
- Topics
- Complex Network Analysis Techniques (7 papers)Spam and Phishing Detection (2 papers)User Authentication and Security Systems (2 papers)
- Journals
- Wiley Interdisciplinary Reviews Data Mining and Knowledge DiscoveryIEEE Transactions on Emerging Topics in ComputingExpert Systems
- Partner nations
- PortugalUnited KingdomPakistan
In The Last Decade
Shazia Tabassum
11 papers receiving 241 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 61
- Sociology and Political Science 58
- Statistical and Nonlinear Physics 54
- Information Systems 35
- Computer Networks and Communications 22
Countries citing papers authored by Shazia Tabassum
This map shows the geographic impact of Shazia Tabassum'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 Shazia Tabassum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shazia Tabassum more than expected).
Fields of papers citing papers by Shazia Tabassum
This network shows the impact of papers produced by Shazia Tabassum. 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 Shazia Tabassum. The network helps show where Shazia Tabassum may publish in the future.
Co-authorship network of co-authors of Shazia Tabassum
This figure shows the co-authorship network connecting the top 25 collaborators of Shazia Tabassum. A scholar is included among the top collaborators of Shazia Tabassum 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 Shazia Tabassum. Shazia Tabassum 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 190 | |
| 7 | 24 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | Efficient Position Based Operation Code Authentication | 1 |
About Shazia Tabassum
Shazia Tabassum is a scholar working on Statistical and Nonlinear Physics, Information Systems and Signal Processing, having authored 11 papers that have together received 246 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Spam and Phishing Detection (2 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (54 citations), Computational Mathematics (2 citations) and Communication (15 citations). Shazia Tabassum has collaborated with scholars based in Portugal, United Kingdom and Pakistan. Frequent co-authors include Fabíola S. F. Pereira, João Manuel R. S. Tavares, Sofia Fernandes, João Gama, Muhammad Ajmal Azad, Samiran Bag, Feng Hao, André F. T. Martins, Carlos Augusto Paiva da Silva Martins and Paulo J. Azevedo. Their work appears in journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, IEEE Transactions on Emerging Topics in Computing and Expert Systems.
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.