Maaz Khan

15 papers and 294 indexed citations i.

About

Maaz Khan is a scholar working on Economics and Econometrics, Finance and Oncology. According to data from OpenAlex, Maaz Khan has authored 15 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 3 papers in Finance and 2 papers in Oncology. Recurrent topics in Maaz Khan’s work include Market Dynamics and Volatility (9 papers), COVID-19 Pandemic Impacts (3 papers) and Financial Risk and Volatility Modeling (3 papers). Maaz Khan is often cited by papers focused on Market Dynamics and Volatility (9 papers), COVID-19 Pandemic Impacts (3 papers) and Financial Risk and Volatility Modeling (3 papers). Maaz Khan collaborates with scholars based in Pakistan, United Arab Emirates and United Kingdom. Maaz Khan's co-authors include Faheem Aslam, Khurrum S. Mughal, Saqib Aziz, Duc Khuong Nguyen, Yasir Tariq Mohmand, Paulo Ferreira, Bilal Ahmed Memon, Umar Nawaz Kayani, Mohammad Haseeb and Amir Hasnaoui and has published in prestigious journals such as Energy Economics, Technological Forecasting and Social Change and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Maaz Khan i

Fields of papers citing papers by Maaz Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maaz Khan

Since Specialization
Citations

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