Sania Anam

621 total citations · 1 hit paper
19 papers, 345 citations indexed

About

Sania Anam is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Sania Anam has authored 19 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Networks and Communications. Recurrent topics in Sania Anam's work include Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Sania Anam is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Sania Anam collaborates with scholars based in Pakistan, China and France. Sania Anam's co-authors include Aqib Ali, Samreen Naeem, Farrukh Jamal, Christophe Chesneau, Wali Khan Mashwani, Salman Qadri, Samir Brahim Belhaouari, Muhammad Fayaz, Rashad A. R. Bantan and M. H. Tahir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and International Journal of Food Properties.

In The Last Decade

Sania Anam

15 papers receiving 323 citations

Hit Papers

An Unsupervised Machine Learning Algorithms: Comprehensiv... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An Unsupervised Machine Learning Algorithms: Comprehensive Review
    2023 92 citations Samreen Naeem, Aqib Ali et al. International Journal of Computing and Digital Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sania Anam Pakistan 6 81 77 56 44 40 19 345
Aqib Ali Pakistan 10 96 1.2× 100 1.3× 132 2.4× 99 2.3× 47 1.2× 33 492
Santi Wulan Purnami Indonesia 10 64 0.8× 156 2.0× 16 0.3× 8 0.2× 37 0.9× 80 447
Amr A. Sharawi Egypt 9 109 1.3× 134 1.7× 27 0.5× 7 0.2× 7 0.2× 23 378
Samreen Naeem Pakistan 10 95 1.2× 93 1.2× 130 2.3× 98 2.2× 1 0.0× 26 434
Ahmed I. Shahin Egypt 9 111 1.4× 144 1.9× 27 0.5× 6 0.1× 9 0.2× 13 362
Xiangyin Kong China 9 20 0.2× 83 1.1× 4 0.1× 28 0.6× 2 0.1× 20 332
Faris Kateb Saudi Arabia 11 33 0.4× 99 1.3× 32 0.6× 11 0.3× 2 0.1× 35 303
Mohamed Yaseen Jabarulla South Korea 10 93 1.1× 86 1.1× 11 0.2× 7 0.2× 18 365

Countries citing papers authored by Sania Anam

Since Specialization
Citations

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

Fields of papers citing papers by Sania Anam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sania Anam

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

All Works

19 of 19 papers shown
1.
Ali, Aqib, et al.. (2023). A State of Art Survey for Big Data Processing and NoSQL Database Architecture. International Journal of Computing and Digital Systems. 14(1). 297–309. 10 indexed citations
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Naeem, Samreen, et al.. (2023). An Unsupervised Machine Learning Algorithms: Comprehensive Review. International Journal of Computing and Digital Systems. 13(1). 911–921. 92 indexed citations breakdown →
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Ali, Aqib, et al.. (2022). Machine Learning Based Classification of Lung Cancer Using CT Scan Images. 13908–13908. 2 indexed citations
6.
Naeem, Samreen, et al.. (2022). Machine Learning Methods Using Texture Feature Selection in Diagnosis of Liver Cancer. 13947–13947. 2 indexed citations
7.
Ali, Aqib, et al.. (2022). Machine Learning-Based Automated Detection of Diabetic Retinopathy Using Retinal fundus images.. 13906–13906. 2 indexed citations
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Naeem, Samreen, Aqib Ali, & Sania Anam. (2022). Computer Vision Based Skin Cancer Classification by Using Texture Features. 13933–13933. 2 indexed citations
11.
Ali, Aqib, et al.. (2022). Video Streams for The Detection of Thrown Objects from Expressways. 13932–13932. 1 indexed citations
12.
Naeem, Samreen, Aqib Ali, & Sania Anam. (2022). Analysis and Identification of Nephrolithiasis from Ultrasound Images using Machine Learning Approach. 13948–13948. 1 indexed citations
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Ali, Aqib, Salman Qadri, Wali Khan Mashwani, et al.. (2020). Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image. Entropy. 22(5). 567–567. 59 indexed citations
16.
Naeem, Samreen, Aqib Ali, Salman Qadri, et al.. (2020). Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images. Applied Sciences. 10(9). 3134–3134. 60 indexed citations
17.
Bantan, Rashad A. R., Farrukh Jamal, Mohammed Elgarhy, et al.. (2020). Some New Facts about the Unit-Rayleigh Distribution with Applications. Mathematics. 8(11). 1954–1954. 45 indexed citations
18.
Ali, Aqib, Wali Khan Mashwani, Samir Brahim Belhaouari, et al.. (2020). Machine learning approach for the classification of corn seed using hybrid features. International Journal of Food Properties. 23(1). 1110–1124. 60 indexed citations
19.
Ali, Aqib, Jamal Abdul Nasir, Samreen Naeem, et al.. (2020). Machine Learning Based Statistical Analysis of Emotion Recognition using Facial Expression. SHILAP Revista de lepidopterología. 11(1). 39–46. 4 indexed citations

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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