Zara Nasar

6 papers and 220 indexed citations i.

About

Zara Nasar is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Zara Nasar has authored 6 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in Zara Nasar’s work include Advanced Text Analysis Techniques (2 papers), Topic Modeling (2 papers) and Text and Document Classification Technologies (2 papers). Zara Nasar is often cited by papers focused on Advanced Text Analysis Techniques (2 papers), Topic Modeling (2 papers) and Text and Document Classification Technologies (2 papers). Zara Nasar collaborates with scholars based in Pakistan. Zara Nasar's co-authors include Syed Waqar Jaffry, Muhammad Kamran Malik and Saima Iftikhar and has published in prestigious journals such as ACM Computing Surveys, Scientometrics and Information Processing & Management.

In The Last Decade

Co-authorship network of co-authors of Zara Nasar i

Fields of papers citing papers by Zara Nasar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zara Nasar

Since Specialization
Citations

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

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2025