Maaz Khan

603 total citations
17 papers, 377 citations indexed

About

Maaz Khan is a scholar working on Economics and Econometrics, Finance and General Health Professions. According to data from OpenAlex, Maaz Khan has authored 17 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 4 papers in Finance and 2 papers in General Health Professions. Recurrent topics in Maaz Khan's work include Market Dynamics and Volatility (10 papers), COVID-19 Pandemic Impacts (4 papers) and Financial Risk and Volatility Modeling (4 papers). Maaz Khan is often cited by papers focused on Market Dynamics and Volatility (10 papers), COVID-19 Pandemic Impacts (4 papers) and Financial Risk and Volatility Modeling (4 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, Duc Khuong Nguyen, Saqib Aziz, Paulo Ferreira, Yasir Tariq Mohmand, Bilal Ahmed Memon, Umar Nawaz Kayani, Mohammad Haseeb and Amir Hasnaoui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Economics and Technological Forecasting and Social Change.

In The Last Decade

Maaz Khan

15 papers receiving 364 citations

Peers

Maaz Khan
Comparison fields: 5 of 62
  • Economics and Econometrics 334
  • Finance 130
  • Accounting 32
  • General Economics, Econometrics and Finance 31
  • Information Systems 29
Replace Krzysztof Echaust with:
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Ningru Zhao China
Hassan Anjum Butt United States
Riste Ichev Slovenia
Conghui Chen United Kingdom
Nick McLaren United Kingdom
Evangelos Vasileiou Greece
Imen Mbarki Russia
Michał Dzieliński Sweden
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Krzysztof Echaust Poland View profile →
Citations per field, relative to Maaz Khan
Maaz Khan · 1×
Citations per year, relative to Maaz Khan
Maaz Khan · 1×

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).

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.

Co-authorship network of co-authors of Maaz Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Maaz Khan. A scholar is included among the top collaborators of Maaz Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maaz Khan. Maaz Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 14
2 0
3 4
4 4
5 13
6 0
7 27
8 1
9 14
10 4
11 1
12
Extreme value theory and covid-19 pandemic: Evidence from india
7
13
Cryptomarket Volatility in Times of COVID-19 Pandemic: Application of GARCH Models
10
14 173
15 103
16 1
17 1

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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