Shaista Arshad

825 citations
28 papers · 648 · h-index 15

Impact in

  • Finance top 2%
    • Financial Risk and Volatility Modeling
    • Banking stability, regulation, efficiency
    • Financial Markets and Investment Strategies
  • Accounting top 5%
    • Islamic Finance and Banking Studies

Papers in

    • Market Dynamics and Volatility 16
    • Complex Systems and Time Series Analysis 12
    • Microfinance and Financial Inclusion 3
    • Financial Risk and Volatility Modeling 11
    • Banking stability, regulation, efficiency 3
    • Global Financial Crisis and Policies 2

Shaista Arshad

28 papers receiving 619 citations

Peers

Shaista Arshad
Comparison fields: 5 of 41
  • Finance 380
  • Accounting 295
  • Economics and Econometrics 526
  • General Economics, Econometrics and Finance 79
  • General Energy 5
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Citations per field
00.5×1.6×
Daniel Andrei · 1×
Citations per year

Countries citing papers authored by Shaista Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Shaista Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Shaista Arshad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaista Arshad Line = papers co-authored together Shaista Arshad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015128
2 201958
3 201653
4 201548
5 201545
6 201633
7 201732
8 201431
9 201326
10 201726
11 201324
12 201422
13 201422
14 201918
15 202015
16 201714
17 201410
18 20199
19 20176
20 20156

About Shaista Arshad

Shaista Arshad is a scholar working on Economics and Econometrics, Finance, Accounting, Sociology and Political Science and General Economics, Econometrics and Finance, having authored 28 papers that have together received 648 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (16 papers), Islamic Finance and Banking Studies (14 papers), Complex Systems and Time Series Analysis (12 papers), Financial Risk and Volatility Modeling (11 papers), Monetary Policy and Economic Impact (4 papers), Banking stability, regulation, efficiency (3 papers), Microfinance and Financial Inclusion (3 papers) and Global Financial Crisis and Policies (2 papers). The work is most often cited by research in Finance (380 citations), Accounting (295 citations), Economics and Econometrics (526 citations), General Economics, Econometrics and Finance (79 citations) and General Energy (5 citations). Shaista Arshad has collaborated with scholars based in Malaysia, Pakistan and Indonesia. Frequent co-authors include Syed Aun R. Rizvi, Nafis Alam, Wajahat Azmi, Mohsin Ali, Omair Haroon, Gairuzazmi Mat Ghani, Jarita Duasa, Qiang Gong, Fahad Mehmood and Mansor H. Ibrahim. Their work appears in journals such as Economic Modelling, Physica A Statistical Mechanics and its Applications, Borsa Istanbul Review, World Economy and Emerging Markets 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.

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