Amna Sarwar

428 citations
6 papers · 257 indexed · 1 hit paper · h-index 4
Topics
Brain Tumor Detection and Classification (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)Image Retrieval and Classification Techniques (1 paper)

In The Last Decade

Amna Sarwar

6 papers receiving 245 citations

Hit Papers

Signature-based intrusion detection using machine learnin...2025202620255101520

Peers

Amna Sarwar
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 171
  • Neurology 162
  • Artificial Intelligence 90
  • Radiology, Nuclear Medicine and Imaging 41
  • Media Technology 17
Replace Nacéra Benamrane with:
Nacéra Benamrane Algeria
Ahmed Kharrat Tunisia
J. Seetha India
Amreen Batool South Korea
Nigel John United States
P. Sriramakrishnan India
Minakshi Banerjee India
Nazir Ahmed Malik Pakistan
Abhishek Das India
László Lefkovits Romania
Amna Sarwar relative to Nacéra Benamrane Algeria Nacéra Benamrane's profile →
Citations per field
00.5×4.7×
Nacéra Benamrane · 1×
Citations per year

Countries citing papers authored by Amna Sarwar

Since Specialization
Citations

This map shows the geographic impact of Amna Sarwar'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 Amna Sarwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amna Sarwar more than expected).

Fields of papers citing papers by Amna Sarwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amna Sarwar. 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 Amna Sarwar. The network helps show where Amna Sarwar may publish in the future.

Co-authorship network of co-authors of Amna Sarwar

This figure shows the co-authorship network connecting the top 25 collaborators of Amna Sarwar. A scholar is included among the top collaborators of Amna Sarwar 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 Amna Sarwar. Amna Sarwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 6
2
Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clusteringbreakdown →
23
3 1
4 3
5 177
6 47

About Amna Sarwar

Amna Sarwar is a scholar working on Neurology, Computer Vision and Pattern Recognition and Signal Processing, having authored 6 papers that have together received 257 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Neurology (162 citations), Computer Vision and Pattern Recognition (171 citations) and Artificial Intelligence (90 citations). Amna Sarwar has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Habibullah Jamal, Tanzila Saba, Zahid Mehmood, Muhammad Adnan Khan, El‐Hadi M. Aggoune, Tariq Shahzad, Tariq Ali, Usama Ahmed, Maryam Bukhari and Saira Gillani. Their work appears in journals such as Scientific Reports, IEEE Access and Journal of Information Science.

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.

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