Maryam Shabbir

9 papers and 230 indexed citations i.

About

Maryam Shabbir is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Maryam Shabbir has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Maryam Shabbir’s work include Cloud Data Security Solutions (4 papers), IoT and Edge/Fog Computing (3 papers) and Cryptography and Data Security (2 papers). Maryam Shabbir is often cited by papers focused on Cloud Data Security Solutions (4 papers), IoT and Edge/Fog Computing (3 papers) and Cryptography and Data Security (2 papers). Maryam Shabbir collaborates with scholars based in Pakistan, India and Saudi Arabia. Maryam Shabbir's co-authors include Muhammad Rizwan, Abdul Rehman Javed, Celestine Iwendi, Chinmay Chakraborty, Norbert Herencsár, Jerry Chun‐Wei Lin, Jamel Nebhen, Fahad Ahmad, Gautam Srivastava and Thippa Reddy Gadekallu and has published in prestigious journals such as IEEE Access, Journal of King Saud University - Computer and Information Sciences and International Journal of Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Maryam Shabbir i

Fields of papers citing papers by Maryam Shabbir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Shabbir

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025