Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Sabur Mollah'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 Sabur Mollah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabur Mollah more than expected).
This network shows the impact of papers produced by Sabur Mollah. 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 Sabur Mollah. The network helps show where Sabur Mollah may publish in the future.
Co-authorship network of co-authors of Sabur Mollah
This figure shows the co-authorship network connecting the top 25 collaborators of Sabur Mollah.
A scholar is included among the top collaborators of Sabur Mollah 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 Sabur Mollah. Sabur Mollah is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mobarek, Asma, Yaz Gűlnur Muradoğlu, Sabur Mollah, & Ai Jun Hou. (2016). Determinants of Time Varying Co-Movements Among International Stock Markets During Crisis and Non-Crisis Periods. SSRN Electronic Journal.
9.
Mollah, Sabur, M. Kabir Hassan, Omar Al Farooque, & Asma Mobarek. (2016). The Governance, Risk-Taking, and Performance of Islamic Banks. SSRN Electronic Journal.2 indexed citations
Mollah, Sabur & Thomas Hartman. (2012). Stock market contagion, interdependence and shifts in relationship due to financial crisis – a survey. 8(1). 166–195.4 indexed citations
Mollah, Sabur. (2009). Volatility Persistence in South Asian Emerging Equity Markets : Evidence from Bangladesh.. 9(1).1 indexed citations
15.
Mollah, Sabur & Asma Mobarek. (2009). Thin trading, the Estimation of Beta and the Relationship between Share return and Beta in an Emerging Market: Evidence from Botswana Stock Exchange. 9(1). 119–125.1 indexed citations
16.
Mollah, Sabur. (2009). TESTING PARTIAL ADJUSTMENT DIVIDEND BEHAVIORAL MODELS IN EMERGING MARKETS: EVIDENCE FROM PRE AND POST MARKET REFORMS IN BANGLADESH. SSRN Electronic Journal. 3(1). 1–14.8 indexed citations
17.
Mollah, Sabur, Rafiqul Bhuyan, & Asma Mobarek. (2008). Dividend Announcement and Security Price Reaction in Emerging Financial Markets: Evidence from Bangladesh. 13(1). 36–45.1 indexed citations
18.
Mollah, Sabur. (2007). PRICE REACTION TO DIVIDEND INITIATIONS AND OMISSIONS IN EMERGING MARKET: EVIDENCE FROM PRE AND POST MARKET CRISIS IN BANGLADESH. SSRN Electronic Journal.1 indexed citations
19.
Mollah, Sabur, et al.. (2006). Day-of-the-week-effect of the Dhaka Stock Exchange : Evidence from GARCH Model. 32. 71–83.
20.
Mobarek, Asma & Sabur Mollah. (2005). The General Determinants of Share Returns of a Less developed Market : An Empirical Investigation on the DSE of Bangladesh. Review of Pacific Basin Financial Markets and Policies. 8(4). 593–612.1 indexed citations
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.