Shad Akhtar

About

Shad Akhtar is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Shad Akhtar has authored 2 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Shad Akhtar’s work include Time Series Analysis and Forecasting (1 paper), Text and Document Classification Technologies (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Shad Akhtar is often cited by papers focused on Time Series Analysis and Forecasting (1 paper), Text and Document Classification Technologies (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Shad Akhtar collaborates with scholars based in India and Pakistan. Shad Akhtar's co-authors include Asif Ekbal, Ayush Kumar, Pushpak Bhattacharyya and Munam Ali Shah and has published in prestigious journals such as International Conference on Computational Linguistics and IET conference proceedings..

In The Last Decade

Co-authorship network of co-authors of Shad Akhtar i

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Fields of papers citing papers by Shad Akhtar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shad Akhtar

Since Specialization

Citations

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