Azhar Rauf

423 total citations
29 papers, 251 citations indexed

About

Azhar Rauf is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Azhar Rauf has authored 29 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Azhar Rauf's work include Cryptography and Data Security (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Data Mining Algorithms and Applications (4 papers). Azhar Rauf is often cited by papers focused on Cryptography and Data Security (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Data Mining Algorithms and Applications (4 papers). Azhar Rauf collaborates with scholars based in Pakistan, Yemen and South Korea. Azhar Rauf's co-authors include Shah Khusro, Shaukat Ali, Naveed Islam, Mohsen Guizani, Ikram Ud Din, Joel J. P. C. Rodrigues, Huma Javed, Mohammad Nauman, Tamleek Ali and Rahman Ali and has published in prestigious journals such as IEEE Access, Sensors and Sustainable Cities and Society.

In The Last Decade

Azhar Rauf

25 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azhar Rauf Pakistan 9 113 102 61 44 35 29 251
Özgür Kafalı United Kingdom 10 52 0.5× 108 1.1× 35 0.6× 36 0.8× 18 0.5× 27 220
Inay Ha South Korea 6 231 2.0× 81 0.8× 54 0.9× 41 0.9× 16 0.5× 15 299
Gauri Jain India 7 213 1.9× 220 2.2× 43 0.7× 112 2.5× 36 1.0× 10 346
Nitin Gupta India 7 85 0.8× 94 0.9× 93 1.5× 73 1.7× 24 0.7× 18 296
Youngho Kim South Korea 9 222 2.0× 159 1.6× 29 0.5× 23 0.5× 18 0.5× 32 362
Müslüm Atas Austria 8 151 1.3× 107 1.0× 24 0.4× 39 0.9× 14 0.4× 17 261
Richard Vdovjak Netherlands 11 179 1.6× 197 1.9× 41 0.7× 135 3.1× 51 1.5× 22 337
Ming Dong China 9 74 0.7× 155 1.5× 73 1.2× 24 0.5× 33 0.9× 18 268
Leonie Simpson Australia 10 95 0.8× 110 1.1× 27 0.4× 117 2.7× 21 0.6× 43 271
Jean‐Pierre Corriveau Canada 8 78 0.7× 234 2.3× 73 1.2× 72 1.6× 15 0.4× 46 356

Countries citing papers authored by Azhar Rauf

Since Specialization
Citations

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

Fields of papers citing papers by Azhar Rauf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azhar Rauf

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

All Works

20 of 20 papers shown
1.
Rauf, Azhar, et al.. (2024). Probabilistic Support Prediction: Fast Frequent Itemset Mining in Dense Data. IEEE Access. 12. 39330–39350. 5 indexed citations
2.
Rauf, Azhar, et al.. (2021). Efficient Utility Tree‐Based Algorithm to Mine High Utility Patterns Having Strong Correlation. Complexity. 2021(1). 2 indexed citations
3.
Rauf, Azhar, et al.. (2021). Balancing Complex Signals for Robust Predictive Modeling. Sensors. 21(24). 8465–8465. 4 indexed citations
4.
Rauf, Azhar, et al.. (2019). A Predictive Model for Predicting Students Academic Performance. 1–4. 28 indexed citations
5.
Ali, Shaukat, Naveed Islam, Azhar Rauf, et al.. (2018). Privacy and Security Issues in Online Social Networks. Future Internet. 10(12). 114–114. 57 indexed citations
6.
7.
Ali, Shaukat, Azhar Rauf, Naveed Islam, & Haleem Farman. (2017). A framework for secure and privacy protected collaborative contents sharing using public OSN. Cluster Computing. 22(S3). 7275–7286. 10 indexed citations
8.
9.
Rauf, Azhar, et al.. (2016). Compressed Bitmaps Based Frequent Itemsets Mining on Hadoop. 159–165. 1 indexed citations
10.
Rauf, Azhar, et al.. (2015). Efficient XQuery over encrypted XML documents. 10. 159–162. 2 indexed citations
11.
Alam, Iftikhar, et al.. (2014). Conducting Surveys and Data Collection: From Traditional to Mobile and SMS-based Surveys. Pakistan Journal of Statistics and Operation Research. 10(2). 169–169. 15 indexed citations
12.
Ali, Shaukat, Azhar Rauf, & Huma Javed. (2013). A Technique for Handling Range and Fuzzy Match Queries on Encrypted Data. The International Arab Journal of Information Technology. 10. 239–244. 1 indexed citations
13.
Din, Ikram Ud, et al.. (2013). Performance Evaluation of SCTP and TCP in Voice Communication. 1 indexed citations
14.
Ali, Shaukat, et al.. (2012). Natural Language Interface for Sensor Networks. 1 indexed citations
15.
Rauf, Azhar, et al.. (2012). Enhanced K-Mean Clustering Algorithm to Reduce Number of Iterations and Time Complexity. 29 indexed citations
16.
Nauman, Mohammad, Tamleek Ali, & Azhar Rauf. (2011). Using trusted computing for privacy preserving keystroke-based authentication in smartphones. Telecommunication Systems. 52(4). 2149–2161. 21 indexed citations
17.
Ali, Shaukat, Shah Khusro, & Azhar Rauf. (2011). A cryptography-based approach to web mashup security. 145. 53–57. 3 indexed citations
18.
Noor, Umara, et al.. (2011). TODWEB. 190–197. 1 indexed citations
19.
Rauf, Azhar, et al.. (2011). A distortion based technique for preserving privacy in OLAP data cube. 10. 185–189. 1 indexed citations
20.
Jan, Zahoor, et al.. (2010). Access Control Mechanism For Web Databases By Using Parameterized Cursor. 1. 1–6. 2 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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