Sidra Abbas
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Abdul Rehman JavedMuhammad RizwanAhmad AlmadhorGautam SrivastavaShtwai AlsubaiMichal GregušLabiba Gillani FahadMohammad S. Khan
- Topics
- Network Security and Intrusion Detection (8 papers)Advanced Malware Detection Techniques (7 papers)AI in cancer detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- PakistanSaudi ArabiaSlovakia
In The Last Decade
Sidra Abbas
27 papers receiving 683 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 303
- Computer Networks and Communications 233
- Computer Vision and Pattern Recognition 99
- Information Systems 96
- Electrical and Electronic Engineering 84
Countries citing papers authored by Sidra Abbas
This map shows the geographic impact of Sidra Abbas'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 Sidra Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidra Abbas more than expected).
Fields of papers citing papers by Sidra Abbas
This network shows the impact of papers produced by Sidra Abbas. 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 Sidra Abbas. The network helps show where Sidra Abbas may publish in the future.
Co-authorship network of co-authors of Sidra Abbas
This figure shows the co-authorship network connecting the top 25 collaborators of Sidra Abbas. A scholar is included among the top collaborators of Sidra Abbas 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 Sidra Abbas. Sidra Abbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 14 | |
| 5 | 29 | |
| 6 | 16 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 59 | |
| 16 | 13 | |
| 17 | 78 | |
| 18 | 1 | |
| 19 | 15 | |
| 20 | 78 |
About Sidra Abbas
Sidra Abbas is a scholar working on Signal Processing, Health Information Management and Computer Networks and Communications, having authored 29 papers that have together received 714 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (7 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Information Management (59 citations), Health Informatics (14 citations) and Computer Networks and Communications (233 citations). Sidra Abbas has collaborated with scholars based in Pakistan, Saudi Arabia and Slovakia. Frequent co-authors include Abdul Rehman Javed, Muhammad Rizwan, Ahmad Almadhor, Gautam Srivastava, Shtwai Alsubai, Michal Greguš, Labiba Gillani Fahad, Mohammad S. Khan, Mohemmed Sha and Reza M. Parizi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.