Sania Anam

719 citations
23 papers · 430 · 1 hit paper · h-index 6

Impact in

Papers in

Sania Anam

17 papers receiving 412 citations

Sania Anam's Hit Papers

An Unsupervised Machine Learning Algorithms: Comprehensive Review 2023 · 139 citations
1390+1+2Years since publication4080120

Peers

Sania Anam
Comparison fields: 5 of 110
  • Health Informatics 11
  • Statistics and Probability 49
  • Health Information Management 25
  • Analytical Chemistry 51
  • Statistics, Probability and Uncertainty 31
Replace Aqib Ali with:
Aqib Ali Pakistan
Samreen Naeem Pakistan
Santi Wulan Purnami Indonesia
Swarup Kr Ghosh India
Ahmed Elhadad Saudi Arabia
Ahmed Ismail Shahin Egypt
Amr A. Sharawi Egypt
Guang‐Hui Fu China
Irhamah Irhamah Indonesia
Moxian Song China
Sania Anam relative to Aqib Ali Pakistan Aqib Ali's profile →
Citations per field
00.5×1.5×
Aqib Ali · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Sania Anam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sania Anam Line = papers co-authored together Sania Anam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Unsupervised Machine Learning Algorithms: Comprehensive Review
Hit paper breakdown →
2023139
2 202074
3 202067
4 202064
5 202052
6 202313
7 20204
8 20224
9 20222
10 20222
11 20222
12 20222
13 20211
14 20221
15 20221
16 20221
17 20231
18 20220
19 20220
20 20220

About Sania Anam

Sania Anam is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management, Building and Construction, Artificial Intelligence and Analytical Chemistry, having authored 23 papers that have together received 430 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (3 papers), Artificial Intelligence in Healthcare (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Retinal Imaging and Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Health Informatics (11 citations), Statistics and Probability (49 citations), Health Information Management (25 citations), Analytical Chemistry (51 citations) and Statistics, Probability and Uncertainty (31 citations). Sania Anam has collaborated with scholars based in Pakistan, China and France. Frequent co-authors include Aqib Ali, Samreen Naeem, Christophe Chesneau, Farrukh Jamal, Wali Khan Mashwani, Salman Qadri, Muhammad Hussain Tahir, Muhammad Fayaz, Mohammed Elgarhy and Rashad A. R. Bantan. Their work appears in journals such as International Journal of Food Properties, Applied Sciences, Mathematics, Entropy and International Journal of Computing and Digital 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.

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