Shabana Urooj

118 papers and 1.1k indexed citations i.

About

Shabana Urooj is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shabana Urooj has authored 118 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 27 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Shabana Urooj’s work include Multilevel Inverters and Converters (10 papers), Image and Signal Denoising Methods (9 papers) and Microgrid Control and Optimization (9 papers). Shabana Urooj is often cited by papers focused on Multilevel Inverters and Converters (10 papers), Image and Signal Denoising Methods (9 papers) and Microgrid Control and Optimization (9 papers). Shabana Urooj collaborates with scholars based in India, Saudi Arabia and Italy. Shabana Urooj's co-authors include Satya P. Singh, Fadwa Alrowais, Shabana Mehfuz, A. Lay-Ekuakille, Vikrant Bhateja, Mukul Misra, Areej Malibari, Norah Alwadai, Mohd Tariq and Ahmed Nabih Zaki Rashed and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Molecules and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Shabana Urooj i

Fields of papers citing papers by Shabana Urooj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shabana Urooj

Since Specialization
Citations

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