Faheem Aslam
Impact in
- Finance top 2%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
- Economics and Econometrics top 1%
- Market Dynamics and Volatility
- Complex Systems and Time Series Analysis
- COVID-19 Pandemic Impacts
- Energy, Environment, Economic Growth
Papers in
-
- Market Dynamics and Volatility 38
- Complex Systems and Time Series Analysis 36
- Fiscal Policy and Economic Growth 4
- Finance 21
- Financial Risk and Volatility Modeling 19
- Co-authors
- Paulo Ferreira (31 shared papers)Khurrum S. Mughal (11 shared papers)Tahir Mumtaz Awan (7 shared papers)Hyoung‐Goo Kang (3 shared papers)Maaz Khan (2 shared papers)Yasir Tariq Mohmand (10 shared papers)Jabir Hussain Syed (2 shared papers)Saqib Aziz (4 shared papers)
In The Last Decade
Faheem Aslam
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Finance 388
- Economics and Econometrics 997
- General Energy 34
- Modeling and Simulation 58
- Accounting 121
Countries citing papers authored by Faheem Aslam
This map shows the geographic impact of Faheem Aslam'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 Faheem Aslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faheem Aslam more than expected).
Fields of papers citing papers by Faheem Aslam
This network shows the impact of papers produced by Faheem Aslam. 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 Faheem Aslam. The network helps show where Faheem Aslam may publish in the future.
Co-authors
The 25 scholars most cited alongside Faheem Aslam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 179 | |
| 2 | 2020 | 176 | |
| 3 | 2013 | 108 | |
| 4 | 2020 | 103 | |
| 5 | 2022 | 76 | |
| 6 | 2020 | 67 | |
| 7 | 2021 | 52 | |
| 8 | 2020 | 49 | |
| 9 | 2021 | 46 | |
| 10 | 2023 | 38 | |
| 11 | 2021 | 30 | |
| 12 | 2020 | 29 | |
| 13 | 2020 | 26 | |
| 14 | 2022 | 26 | |
| 15 | 2021 | 23 | |
| 16 | 2015 | 21 | |
| 17 | 2022 | 21 | |
| 18 | 2022 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2021 | 19 |
About Faheem Aslam
Faheem Aslam is a scholar working on Economics and Econometrics, Finance, Management Science and Operations Research, Statistical and Nonlinear Physics and Accounting, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (38 papers), Complex Systems and Time Series Analysis (36 papers), Financial Risk and Volatility Modeling (19 papers), Stock Market Forecasting Methods (10 papers), Islamic Finance and Banking Studies (6 papers), Chaos control and synchronization (5 papers), Complex Network Analysis Techniques (5 papers) and Fiscal Policy and Economic Growth (4 papers). The work is most often cited by research in Finance (388 citations), Economics and Econometrics (997 citations), General Energy (34 citations), Modeling and Simulation (58 citations) and Accounting (121 citations). Faheem Aslam has collaborated with scholars based in Pakistan, Portugal and Morocco. Frequent co-authors include Paulo Ferreira, Khurrum S. Mughal, Tahir Mumtaz Awan, Hyoung‐Goo Kang, Maaz Khan, Yasir Tariq Mohmand, Jabir Hussain Syed, Saqib Aziz, Mahwish Parveen and Bilal Ahmed Memon. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Heliyon, Borsa Istanbul Review, Sustainability and Eurasian economic review :.
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.