Matloob Khushi

57 papers and 1.2k indexed citations i.

About

Matloob Khushi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Matloob Khushi has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 14 papers in Management Science and Operations Research and 13 papers in Molecular Biology. Recurrent topics in Matloob Khushi’s work include Topic Modeling (13 papers), Stock Market Forecasting Methods (12 papers) and Sentiment Analysis and Opinion Mining (7 papers). Matloob Khushi is often cited by papers focused on Topic Modeling (13 papers), Stock Market Forecasting Methods (12 papers) and Sentiment Analysis and Opinion Mining (7 papers). Matloob Khushi collaborates with scholars based in Australia, United Kingdom and Pakistan. Matloob Khushi's co-authors include Usman Naseem, Jinman Kim, Kamran Shaukat, Shahadat Uddin, Imran Razzak, Peter Eklund, Mohammad Ali Moni, Suhuai Luo, Talha Mahboob Alam and Ibrahim A. Hameed and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Matloob Khushi i

Fields of papers citing papers by Matloob Khushi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matloob Khushi

Since Specialization
Citations

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